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Volume 2 Issue 1 · January 2019 · ISSN 2630-5070 (Online)
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A Review of Landsat TM/ETM based Vegetation Indices as Applied to Wetland Ecosystems
Gema Marco Dos Santos, Ignacio Meléndez-Pastor, Jose Navarro-Pedreño
A mega-event approach to glurbanization: Insights from Expo 2010, Shanghai
Lingyue Li
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Susan Aniekwe and Nwabueze Igu
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Journal of Geographical Research
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ARTICLE
A mega-event approach to glurbanization: Insights from Expo 2010,
Shanghai
Lingyue Li*
Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, P. R.
China
ARTICLE INFO ABSTRACT
Article history
Received: 25 October 2018
Accepted: 7 November 2018
Published: 5 March 2019
This paper contributes to an in-depth understanding of how the me-
ga-event contributes glurbanization of entrepreneurial city through a case
study of Expo 2010 in Shanghai. It argues that spatial-related transfor-
mation is central to mega-event approach to glurbanization yet the soft
power building is uncertain. It implies that the domestic impacts of me-
ga-events are likely to be more profound than their global influences. This
corresponds to the capitalist transformation from Fordist-Keynesianism to
neoliberalism, in which mega-events such as Olympic Games and World
Exposition have increasingly been incorporated into urban development
plan to boost urban agenda. Although the profile of world fairs is reduced
and does not have the international impacts that they used to have, Shang-
hai Expo 2010, the first Expo ever held in a developing country, is pinned
hope on as the “Turn to Save the World Expo” and is unusually ambitious
to bring opportunities in urban transformation. With a well-developed
framework of glurbanization entailed by entrepreneurial city, this research
enriches glurbanization theory by a thorough examination of Shanghai
Expo. It finds that Expo-led landscape reconfiguration, spatial restructur-
ing, and new sources provision effectively transformed Shanghai, propel-
ling glurbanization in diminutive spatial scale. Yet, it remains powerless
to impress the world as the voice of domestic propaganda is limited in
the Western mainstream media. In all, the Expo case well exemplifies the
power of mega-event approach to advancing local agenda, especially in
spatial transformation per se, as well as its constraints in (re)shaping a
global discourse.
Keywords:
Mega-events
glurbanization
Expo 2010
Shanghai
*Corresponding Author:
Lingyue Li*,
Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, P. R. China
lilingyue@tongji.edu.cn
1. Introduction
S
ince 1970s, neoliberalism has ingrained itself rhe-
torically into the hosting of mega-events [1, 2]
. In
other words, mega-events have become vanguards
of the global spread of neoliberalism and appeared as a
significant impetus in the reconstruction and reposition-
ing of ascending economies. A striking feature of world
neoliberalization is that competing cities are active to
articulate the globe to secure its most advantageous in-
sertion into the changing interscalar division of labour in
world economy, viz., glurbanization. To scholars, in-depth
understanding of neoliberalization should at best go be-
yond the extrinsically economic tsunami and conceive it a
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path-dependent process molded by particularities of local
history and institutions [3]
. In such sense, mega-events
unavoidably involves participation of multiple levels of
governments, often in the form of entrepreneurialist ap-
proach, and neopatrimonial forms of resource allocation
[4]
. Different from post-industrial cities in North America
and Western Europe, the ongoing urban transformation of
Shanghai did not inherit the regulatory landscape or the
spatial organization of the Fordist city. As an advanced
city in socialist market economy, Shanghai’s urban land-
scape imprinted hybridity of planned and market econ-
omy. Shanghai Expo thus involves complex regime that
combines rigid planned economic system and neoliberal-
ized socialist market economy. This echoes the worldwide
evidence that mega-events herald a mixed neoliberal turn
in political-economic practice [5]
. This paper proposes that
the mega-events-led transformations in Shanghai Expo
should be understood as part of a neoliberal spatial pro-
cess committed to and an active ascending of locality to
the global arena, configured by a global-local, social-spa-
tial dynamism.
2. The conceptual Framework
2.1 Glurbanization under Entrepreneurial City
Glurbanization rests upon the premise that urban restruc-
turing led by state rescaling and its concomitant intersca-
lar strategies represents an advantageous process to rein-
force city-region status and their global competitiveness
building [6,7]
. Glurbanization originated from the literature
of urban entrepreneurialism. Urban entrepreneurialism
has been prevailing since 1970s when the active, innova-
tive role of local governments were well documented by
a number of researchers in North America and Western
Europe [8, 9-11]
. The purpose of this entrepreneurial shift of
local governance, as proclaimed by David Harvey [12]
, was
to address the widespread erosion of economic and fiscal
base of large cities in the advanced capitalist economy.
Unlike the earlier practices of managerialism that primar-
ily concerned welfare provision to urban population, such
an entrepreneurial stance strategically brought competi-
tiveness building to the heartland of local governments’
agenda and fundamentally transformed the trajectory of
urban process. In a broad sense, the shift from urban man-
agerialism to entrepreneurialism was associated with the
recession-induced transformation of capitalist dynamics:
dynamics transits from a Fordist-Keynesian regime to a
regime of "flexible accumulation" [13-17]
that revived local-
ism [18]
under technology innovation and new international
division of larbor. Though without an explicit definition
of urban entrepreneurialism, Harvey’s work [12]
generates
significant insights into this study; first, urban entrepre-
neurialism should be examined at varied scales, from mi-
cro neighbourhoods, communities, to macro metropolis,
nation state, and the like. Second, stance of central gov-
ernments and the position of local government in urban
hierarchy remain of tremendous importance to city com-
petitive edge [19]
. Third, urban "governance", involving
extensive public-private partnership, means much more
than urban "government". Indeed, under the entrepreneur-
ial “governance” discourse, a defining feature for public
government is its adventurous, outward-oriented posture,
which substitutes its traditional gatekeeper stance, to
foster local growth [20]
. Such a speculative posture charac-
terizes profit-making business firms and cities alike, viz.
entrepreneurial firm and entrepreneurial city. The analogy
entails the concept of city-level “glurbanisation” as one
form of the more general phenomenon of firm-level “glo-
calisation” [21]
.
Initially, “glocalisation” refers to the global localisation
strategy pursued by Japanese firms in comparison with the
globalisation strategies adopted by U.S. multinationals [22]
.
Then, it has been indiscriminately used to limn the polit-
ically mediated deterritorialisation and reterritorialisation
[23-25]
. Jessop and Sum problematise the usage of this term
and coined “glurbanisation” to refer to entrepreneurial
strategies. To them, the “glocalisation” concept, which
simply refers to any form of global-local interaction, has
lost its original accuracy, whereas “glurbanisation” can
more precisely capture the multiscalar articulation; first,
studies of glurbanisation should replace the crude glob-
al-local dichotomy with multiplicity of scales. Second,
glurbanisation highlights chronotropic governance that was
neglected in glocalisation. Third, extra-economic issues
should be incorporated in the analysis of entrepreneurial
competition. Fourth, glurbanization concerns more with
the problems raised by entrepreneurial activities, rather
than the advantages. Thereafter, glurbanization under en-
trepreneurial city has been empirically researched world-
wide such as in London, Guangzhou, and Australasian
Cities [26-28]
. Glurbanization can be understood as a process,
a strategy, and an objective entrepreneurial city endeavors
to achieve. It collapses the global and the local, opposes to
the hierarchical design whereby the nation-state dictates
how things work, and makes transformation possible both
from below and above [7]
. In this research, the entrepre-
neurship qualities proposed by Jessop are citied to help
identify approaches to glurbanization (see Table 1 for a
simplified version), including the reconfiguration of urban
landscape, restructuring of urban space, provision of new
sources, and reposition of urban hierarchy.
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Table 1. Entrepreneurship at the firm and city levels and
approaches to glurbanization
Schumpeter’s entrepre-
neurial firm
Jessop and Sum’s entre-
preneurial city
Approaches to glurban-
ization
New good
New types of urban
space
Landscape reconfigu-
ration
New methods of
production
New methods of space
production Space restructuring
(for production and
consumption)
New markets for sales
New markets of urban
living
New sources of mate-
rials
New sources of supply
New sources provi-
sion
New production orga-
nization
New urban position in
urban hierarchy
Urban repositioning
Source: authors compiled from [21, pp. 2289-2290]
2.2 Mega-events, Urban Regeneration, and Spa-
tial Transformation
Mega-events have evolved different in the turn of 1970s
economic recession in capitalist society to build place
competitiveness for economic growth [29-31]
. Mega-events
such as Olympic Games and World Exposition have in-
creasingly been incorporated into urban development
plan to help urban transformation [32, 33]
. Browsing the past
events, their nature as sport events diminished whereas
their relation to cities is much fortified. This is largely
attributed to the transition of Fordist-Keynesian policy to
neoliberal economic strategy that entails a flexible way
of capital accumulation [34]
. A new urban spatial order is
required to adapt to the changes such as the restructuring
of urban form from monocentric city to polycentric me-
ga-city region, the economic transition to service industry
and leisure consumption, and the resulted decentraliza-
tion of population from central (or inner) city to suburb.
This is in line with the transition of urban renewal from
slum-clearance and infrastructure-based strategy in 1950s
to place competitiveness building in 1980s [35]
. In neolib-
eral urbanism, megaprojects with symbolic and substantial
power in economic growth are unmissable to catalyze ur-
ban agenda. The 2002 Manchester Commonwealth Games
was vigorously linked with urban regeneration strategy
[36]
; the 1998 Lisbon Expo was designed to revitalize a
rundown industrial harbourside and create a new urban
center [37]
; and the 2012 London Olympic Games reshaped
east London to revive the dilapidated area [38]
. Indeed,
more and more cities launched mega-events. Under such
circumstances, seeking the role of mega-event in urban
transformation of those cities and its related effects will
then have practical significance.
The aforementioned review suggests that spatial-relat-
ed transformation, in particular transformation intrinsic to
urban regeneration to disentangle involuted interests such
as landscape reconfiguration and urban space restructur-
ing, is central to mega-event approach to glurbanization
whereas soft power building such as repositioning global
hierarchy of host cities is uncertain. This implies that the
domestic impacts of mega-events are likely to be more
profound than their global influences.
3. Research Methodology
Case study approach, more similar to the experimen-
tal isolation paradigm than to the randomized-assign-
ment-to-treatments model, is applied in this research to
clarify the obscure understanding towards mega-event ap-
proach to glurbanization [39]
. The efforts made by Shang-
hai municipal government in the planning practice of the
World Exposition 2010 provides an important lesson, not
only because the effective delivery of the event realizes
city vision but also because the issues it confronted are
universe and thus noteworthy. Although the profile of
world fairs is reduced and does not have the interna-
tional impacts that they used to have [40]
, Shanghai Expo
2010, the first Expo ever held in a developing country,
is pinned hope on as the “Turn to Save the World Expo”
and is unusually ambitious to bring opportunities in urban
transformation. The event was strategically integrated
into the overall urban development agenda and facilitat-
ed the implementation of Shanghai master plan. By and
large, Expo 2010 propelled Shanghai urban agenda ten
years ahead of schedule. Thus, this paper goes beyond the
event’s impact on tourism [41, 42]
and focuses on the linkage
of mega-events with the urban. Specifically, it unfolds the
local context and details the pathway and effects of Expo
2010 to Shanghai’s glurbanization. The site of Expo 2010
was selected in between Nanpu and Lupu Bridge. As an
old industrial base alongside the Huangpu River, it epito-
mized China’s footprints to modernization and tracked the
labyrinthian post-industrial trajectory of Shanghai. With
event-led relocation, Shanghai municipal government
determined to strategize Expo site to promote urban re-
generation in central area and to disentangle the involuted
interests that hinder its world city path.
First-hand data have been obtained during several
field trips to Shanghai since 2009 through interviews,
observation and site reconnaissance. Method of triangula-
tion is used in data collection to reduce the likelihood of
misinterpretation [43]
. Interviewing presents a major data
collection method. Unstructured interviews are widely
used throughout the whole study, and semi-structured
interviews are conducted to get more detailed informa-
tion. In semi-structured interview, questions are pre-con-
sidered based on specific targets. An interviews outline
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Journal of Geographical Research | Volume 02 | Issue 01 | January 2019
Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188
is proposed before the field trip. Sixteen people include
government officials, planners, scholars, and developers
accepted interview request. Each of the interviews was
specially prepared and rearranged according to the inter-
views outline. More interviewees (include the affected
local habitants) were consulted by means of unstructured
interviews. Participatory observation is applied to observe
activities in Expo Park and Shanghai. Site reconnaissance
is assumed to record the transformation of the city (land-
marks, public space, city image, spatial restructuring)
affected by the Expo project. Moreover, secondary data
sources such as historical archives, statistical yearbooks,
and official government reports related to Expo 2010 were
accessed.
Figure 1. Site selection of Shanghai Expo 2010:
from Chuansha to Nanpu and Lupu. Source: author
4. Unfolding Local Context for Expo 2010
As a mega-event, Shanghai Expo is a dual strategy not
only concretizing event function but also propelling urban
transformation [44, 45]
. Three major constraints impeding
structural optimization of Shanghai before the host of
Expo 2010.
4.1 Southward Extension of Huangpu River: Bot-
tleneck for Renewal and Polycentricity
Earlier initiated by municipal government, “Huangpu
Riverside Project” aims to improve the comprehensive
service quality along the waterfront line by replacing
warehouses and old industrial factories to financial trade,
eco-residence and cultural tourism. From north to south,
the “Huangpu Riverside Project” has been divided into
three sections that passes across several districts include
Baoshan, Yangpu, Hongkou, Huangpu, Luwan, Xuhui and
Pudong New Area. However, these districts have distinct
humanity environment and exhibit a characteristic of
“strong centrality (the Bund area) with two weak wings
(northern and southern extension)” (figure 2). There are
numerous industrial units located in the southern exten-
sion of Huangpu River with many shanty houses, forming
a mixed and low-quality land use that is facing with area
decline. Indeed, the south wing of Huangpu Riverside is
a scab for Shanghai’s urban expansion and polycentrici-
ty strategy. The opening and development of Pudong in
1990s was a leapfrog expansion across Huangpu River,
and the eastward breakthrough gradually expanded to
Nanpu and Yangpu Bridge within ten years. Population
growth in Liuli and Sanlin Town gradually surrounded
and oppressed manufacturers along the Huangpu River
bank. Nevertheless, further expansion to the south has
been blocked by large-scale manufacturing enterprises,
and is forced to take low-quality and leaping development
mode. The bank area in between Lupu and Nanpu Bridge
with the key units of Jiangnan Shipyard and Pudong Steel
Factory became low-value land in downtown edge that
hinders polycentricity strategy of Shanghai to construct a
strong and multi-functional city center. So, Expo becomes
an opportunity for the municipal government to renew the
south wing of Huangpu River.
Figure 2. Three sections of Huangpu Riverside Area
Source: drawn by author, 2010
4.2 Bottleneck for Economic and Industrial Tran-
sition
Manufacture industry occupies Shanghai’s industrial
structure. Since the opening and development of Pudong
New Area, proportion of added value of secondary indus-
5
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try has accounted for nearly 50%, playing an irreplaceable
role in urban economic growth. Based on statistics of the
contribution rate of economic growth by three industries,
it can be found that secondary and tertiary industries alter-
nately contribute to economic growth, but the secondary
industry contributes more in average. From 1999 to 2003,
contribution rate of economic growth by secondary in-
dustry again surpassed tertiary industry. The effectiveness
of industrial adjustment is questionable. The proportion
of three industries in GDP, the tertiary industry has ac-
counted for 50% since 1999, but didn’t change much until
2003 (with ratio of 50.9%). Shanghai’s tertiary industry
or service economy has a long way to go compared to top
world cities, New York (86.7%), London (85.0%) and To-
kyo (72.7%). It needs impetus to speed up the stagnation
of economic and industrial transition. Spatial adjustment
might be an effective measure to catalyze the economic
and industrial restructuring in coming years.
4.3 Over-dense Population in Central Area: Bot-
tleneck for Suburbanization
Until the end of year 2001, Shanghai pioneers in China
with 75.3% urbanization rate. International metropolises
such as New York, Los Angeles or Chicago were under-
going suburbanization at similar stage in Shanghai. Nev-
ertheless, spatial structure in Shanghai is yet to support
suburbanization, as infrastructures, transportations, indus-
tries and public facilities in suburb fell behind. The result
is a much higher density of population in central area than
in suburb. Comparing furthermore the population density
in central area with that in Tokyo, New York and London
in the year 2004, socio-demographic structure remains un-
satifactory. in Shanghai is not as reasonable as these world
cities. Both central area population density (1.51) and
the proportion of central area population to suburb (2.82)
in Shanghai are higher than Tokyo (1.35, 2.0) and much
higher than New York (1.03, 0.73) and London (0.91, 0.65)
(table 2). The over-dense population in central area and
dispersed population in suburbs hardly support sustainable
future development of the city.
Table 2. Population comparison in central area, Shanghai,
Tokyo, New York (2004)
Location Shanghai Tokyo New York London
Population density in central
area (10,000people/km2)
1.51 1.35 1.03 0.91
Population in central area /
population outside central area
2.82 2.0 0.73 0.65
Geographical area of central
area (km2)
630 617 786 319
Source: Tokyo Statistical Yearbook 2004, Vital Statistics of New York
State 2004, Office for National Statistics 2004 (adopted ONS's definition
of inner London), Shanghai Statistical Yearbook 2005
5. Shanghai Expo 2010: A Mega-event Ap-
proach to Glubanization
5.1 Landscape Reconfiguration: Urban Beautifi-
cation and Shaping a Polycentric Urban Form
News of bid winning from Monte Carlo, Monaco em-
powered Shanghai municipal government with political
power. The derelict industrial area will be refreshed to
tidy up Shanghai’s world city pathway. As a strategic
planning tool, Shanghai Expo is representative to clean up
the messy waterfront site, replacing with modern well-de-
signed urban space. A stylish entrepreneurial fabric favor-
ing capital accumulation took shape on the edge of inner
expressway. With remarkable group of landmarks, care-
fully designed with graceful architectural style and public
spaces, it is eye-catching and leaves precious legacies
assimilating World Fair cultural into the local.
Figure 3. The panorama of Expo site in 2004 and 2015
Source: Xinhua News Agency
With the delivery of Expo project, a polycentric ur-
ban form comes out. In master plan of Shanghai (1999-
2020), spatial layout of “multi-axis, multi-layer and multi-
core” is proposed but insufficiently achieved. The reasons
concealed are the intricate interests in downtown area
which is ill-connected to suburbs. A strong urban core is
a prerequisite for polycentricty for which Expo contrib-
utes. The effection would be the accomplishment of the
rapid transit system construction in Shanghai metropolis.
After Pudong New Area jumping across Huangpu River,
the Expo site further expands southward along the River
to squeeze out low value-added land in downtown edge,
facilitate the formation of a multi-functional city center to
buttress the polycentricity strategy.
Metro is the most important urban rapid transporation
system in Shanhgai. The earliest metro lines 1, 2 and 3
and the maglev line formed the inital “cross + ring” (“申”)
structure before 1993. After Shanghai obtained the oppor-
tunity of Expo, metro network construction gained speed
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and accomplished 410km in 2010. Four lines and three
extension lines operated beforehand, over half of which
was facilitated by Expo 2010. The direct impacts are the
facilitated development of suburban new towns which,
first suggested in 1959, help to decentralize population
and upgrade industries in central city. The catalytic role of
Expo 2010 in new town development is complied through
TOD model which improved accessibility to central
Shanghai. Songjiang, Jiading-Anting and Lingang as three
strategically superiorial new towns benefit from it, espe-
cially the first two.
Table 3. Operation records for Shanghai Metro until June
30, 2010; (shadow for Expo facilitated ones)
No. Operation records
1
1995.04.10: Jinjiang Park to Shanghai Raiway Station;
1997.07.01/2004.12.28/2007.12.29: Fujin Rd. to Xinzhuang
2
1999.10.20-2006.12.30: Zhangjiang Hi-tech Park to Song Hong
Rd.;
2010.02.24/2010.03.16/2010.04.08: Xujing Dong to Pudong
International Airport
3
2000.12.26/2006.12.18: Shanghai South Rail to North Jiangyang
Rd.
5 2003.11.25: Xinzhuang to Minhang Development Zone
4 2005.12.31: “C” trial operation; 2007.12.29: link operations
6 2007.12.29: Gangcheng Rd. to South Lingyan Rd.
8 2007.12.29/2009.07.05: Shiguang Rd. to Pujiang Expo Home
9
2007.12.29/2009.12.31: Songjiang New Town to Middle Yang-
gao Rd.
7 2009.12.05: Shanghai University to Huamu Rd.
11
2009.12.31/2010.03.29: North Jiading to Jiangsu Rd. / Anting to
Jiading New Town (branch)
10 2010.04.10: Xin Jiangwan Cheng to Hangzhong Rd.
13 2010.05.01-2010.10.31: Temporary open three stations
Source: www.shmetro.com; edited by author
5.2 Spatial Restructuring: Upgrading Industries,
Decentralizing Population, and Enhancing Cul-
tural Value
Expo 2010 benefitted economic transitioin from manu-
facturing to service and leisure consumption in Shanghai
in three spatial layers: (1) urban area in inner expressway
targeting tertiary industry; (2) area between inner and
outer expressway planned for high-tech, high value-added
and non-polluted industry; (3) area outside outer express-
way encompassing three types of industries. The “tertiary
– secondary – hybrid” structure spreads from the city cen-
ter to outskirts. City center is entrusted to “suppress the
secondary industry and develop the tertiary industry”. Yet,
the great many rundown manufacturies hindered the for-
mation. The proportion of tertiary industry in all, though
has reached 50% of total GDP since 1999, had almost un-
changed until 2003 before the event launched. Relocation
of industries prepares Expo for economic and industrial
upgrading. Sewed up Pudong and Puxi, Expo was the last
valuable piece of land in downtown area. Both Puxi and
Pudong area are occupied by mix-use of residential hous-
ing, industries and warehouses, which accounted 62% of
total land. They recorded China’s footprints to modern-
ization as well imprinted a tough post-industrial trajectory
of Shanghai. The Expo did a favor to pull manufacturing
off the stage in city center and resume land through the
“effective mega-event weapon” in the negotiation of in-
dustrial restructrcturing. Post-Expo industrial planning
contributes furthermore to the economic transition. Three
adjacent neighborhoods in Pudong are integrated to build
a “world-class civic center”, which prioritized headquar-
ters economy, commerce and trade, creative industries
and advanced services. The legacy plan of Expo encom-
passed five functional zones from A to E. While Zone A
and B are start up zones for convention, exhibitioin and
business, Zone C is Houtan expansion district reserved for
retail, trade and offices. Zone D and E in Puxi are foster-
ing Shanghai to be a cultural and eco-living metropolis[35]
.
The effects are obstrue: the contribution rate of economic
growth by tertiary industry increased significantly.
Population decentralization represents another benefi-
ciary impacts brought about by Expo 2010. Central Shang-
hai was once overly populated for which the Expo event
helps for defibering. Social displacements are unavoidable
as over 18,000 households were facing relocation. People
who were affected most were those low-income group.
Such a massive social relocation was supported by a qual-
ity urban planning and design. High-standard residences
are maintained after field survey conducted during 2003
and 2004. For the theme “Better City, Better Life”, a plan-
ning approach of “add, subtract, multiply and divide (+
– × ÷)” is adopted to community rehabilitation. The dem-
olition is mild, respect local social network to cater safety,
employment for low income, entertainment, equality,
justice and fraternity. This gained support from neighbor-
hoods and establish a good image of local government.
7
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Figure 4. Pujiang Expo Home and Sanlin Expo Home;
Source: shanghai.gov.cn; edited by author
In a pro-growth society, engaging politics with cul-
tural system is not easy even though “cultural value” has
explained the importance of culture to politicians. Expo
2010 enhanced cultural value in two aspects: preserving
visible cultural heritage and promoting invisible local
culture. In Shanghai, Xintiandi is a well-known example
exemplifying the power of cultural heritage in leisure
consumption and capital accumulation, and later is widely
imitated. As intangible and non-renewable resources, ur-
ban cultural heritages are irreplaceable assets to buttress
urban competitiveness building. In Expo Park, 20,000
square meters of historic buildings are preserved and more
than 400,000 square meters old industrial architectures are
reconstructed. The urban best and practice area (UBPA)
in sub-district E, involving considerable reutilization of
industrial heritage, is now a model for human-scale street
regeneration. Shanghai, the birthplace of modern industry
in China, accommodated great many industrial legacies.
The big-span and high interior skeleton are invaluable for
creative and art industries. Similar practices can be found
in New York and Ruhr. As a world renowned mega-event,
Expo 2010’s promotional effects cannot be underesti-
mated. A well-illustrated example would be the Huang-
pu-based Sanmin Culture which was diffused through
public forums initiated by Expo.
5.3 New Sources Provision: Bringing Fund, Hu-
man Capital, and Technologies
Expo 2010 contributes to new sources provision mainly
in three aspects: funds, human capital, and technologies.
Government funding support and inward investment at-
traction comprised two main sources of fund facilitated by
Expo 2010. Though central government did not directly
finance the event, its preferential policy and commitments
prioritize the event in gaining funds from public domain.
Funds for Expo include 7.15 billion RMB from the gov-
ernment (around 40% of total budget), 8 billion RMB
bonds approved by central government to issue propped up
by land banding and repaid by future development (around
44% of total budget), and 2.85 billion RMB supplemented
by diverse finance channels. A considerable amount of
fund gained from contracts signed with banksi
and private
firms. In April 2004, Industrial and Commercial Bank of
China, Pudong Development Bank and Shanghai Bank
provided a total loan of 5.5 billion RMB to Shanghai
Expo Land Holding Co. Ltd. Han Zheng, the Mayor of
Shanghai when the event held, officially stated that plan-
ning, management, and operation of Expo are open pro-
cess calling for private capital to join. The Expo 2010 also
facilitated inward investment attraction. After the low ebb
from late nineties to early 21st century, Shanghai’s FDI
has been on the rise since bid winning and entrained a
small climax from 2006 to 2008 during the official large-
scale publicity of the event (figure 7). Prominent increase
of foreign investment can be found from January to Oc-
tober during the host year 2010: 1) the singed contracted
foreign capital surpassed 12.68 billion U.S. dollars (in-
creasing 15.93% over 2009 in the same period) in which
8
Journal of Geographical Research | Volume 02 | Issue 01 | January 2019
Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188
the tertiary industrial sector has absorbed 10.432 billion
U.S. dollars (accounting for 82.3% of the total contracted
foreign capital); 2) the actual FDI was 9.12 billion U.S.
dollars (increasing 4.00% over 2009 in the same period).
Expo 2010 plays a great role in inward investment attrac-
tion: 20 foreign-funded projects were signed in Oct. 14th
with 1.23 billion U.S. dollars investment; 292 regional
headquarters of MNCs were identified, 208 foreign in-
vestment enterprises and 315 foreign-funded R&D centers
were approved at the end of September 2010. Shanghai
kept to be a dynamic foreign funded city in mainland Chi-
na. The fixed asset investment kept increasing and went
astonishingly high in 2009 approaching the Expo feast
(figure 8). Self-financing was the main contributor yet the
state budget was limited, imprinting the asymmetric path-
way of economic decentralization and political centraliza-
tion in central-local relations.
Figure 5. FDI and TFEE (1 billion US dollars)
Source: http://www.stats-sh.gov.cn; author edited
Figure 6. Fixed asset investment
Source: http://www.stats-sh.gov.cn; author edited
The contribution of Expo 2010 to human capital attrac-
tion revealed in infrastructural industry, third-party service
industry and Expo-related jobs. A statistical report from
ChinaHR illustrated a 43% increase of employment index
before Expo over the year 2009. Construction of Expo
Park necessitates a new round of human capital upgrad-
ing. More than 70% of relational industrial firms anticipat-
ed professional architects, designers and engineers. The
ability to pay more guaranteed the attraction of qualified
employees and enriched human resource supply in Shang-
hai. Tourism industry initiated by Expo imposed demand
on human capital in service sector. High-qualified human
capital familiar with international practices, adapted to
cultural diversity and excellent in language is favored by
transnational corporations, e.g. Eastern Airlines, Shanghai
No.1 Department Store, and Shanghai First Foot Chain
Development Co. LTD. The event also offered many
short-term positions of service-sector jobs, such as the
safety inspector, interpreter, Expo VIP supervisor, recep-
tionist, Expo hotline officer etc. More than ten thousand
jobs are generated and ease the employment tension in job
market. All these recruitments are competitive to play a
role in post-Expo service industrial upgrading.
Technology has greatly remolded our city since indus-
trial revolution. As a product born industrial revolution of
Great British, World Exposition is a significant media for
technology improvement. “Expos and technology 1851-
2000” in appendix I lists the technologies launched and
popularized in the previous Expos over the past centuries
(Roche, 2000). Almost every session of Expo gave birth
to a new type of technology that would rewrite urban
progress agenda, e.g. the birth of telephone in 1876 Phila-
delphia Expo, mass production cars in 1915 San Francisco
Expo, the promotion of English phrase of “IT” in 2000
Hannover Expo. Shanghai Expo 2010, the first one la-
beled with eco-low-carbon idea, tried to adopt many new
technologies for energy saving. It fostered and encouraged
intelligent green technology as innovative source of sup-
ply for Shanghai’s future urban development. There are
five technology highlights in the creation of Expo Park:
the construction energy saving, new energy automobile,
4G communication, RFID (radio frequency identifica-
tion), and intelligent transportation. Moreover, a series
of eco-friendly technology such as integration of solar
buildings, semiconductor lighting, water (ground) source
heat pump, natural ventilation were applied in area of “four
pavilions along the central axis”. In UBPA, the “Shanghai
Eco-Home” saved more than 60% energy and reduced
140 tons of annual carbon dioxide emissions. The new
energy automobile (include hybrid, pure electric and fuel
cell vehicles) achieved “zero emission” of transportation
in the Expo Park. In order to guarantee traffic operation,
several fixed and mobile hydrogen refueling stations and
maintenance bases for fuel cell vehicles were constructed.
The Expo Park also used TD-LTE technology, a pioneer
attempt worldwide, to complete the coverage of 4G com-
munication test network by Shanghai Mobile. The RFID
technology was used in the organization and management
of Expo Park to improve the efficiency of passenger traf-
fic. The intelligent transportation can ensure a timely up-
date of traffic information, which is an effective measure
for traffic efficiency during peak hours. The R&D invest-
ment of new technology for Expo Park is more than 0.7
billion RMB from central and the municipal government.
9
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5.4 Urban repositioning: An eye catching me-
ga-event in question
Figure 7. Media coverage from 1996-2010
Source: WNC; analyzed by author
Figure 8. Number of reports from Asian and European
countries
Source: WNC, 2002-2010; analyzed by author
6. Conclusion
Globalization and neoliberalization co-contribute to the
transformation of urban order from traditional manu-
facture to financial and service economy, from labor in-
tensive activity to cultural and leisure consumption, and
from monocentric city to polycentric mega-city region.
Such transformation of urban space enables city to better
adapt to capital accumulation in post-Fordism era. How-
ever, implementation of the urban transformation strategy
is not easy as it is a huge project which requires policy
packages, fund resources, manpower, and may involve a
series of interest issues and power struggles. Thus, though
mega-events seem attractive, strategy integration is a
challenge and has to overcome difficulties. For how to
integrate mega-events into urban transformation, Shang-
hai Expo at least has following implications for urban
planning. Site selection for the event is the primary and
key step to determine in what way and to what extent the
event can contribute to the urban transformation. In the
case of Shanghai, site selection of the Expo 2010 aims
to revitalize the rundown riverside area to strengthen a
polycentric urban form. The subsequent industrial and res-
idential relocations would never accomplish without the
opportunity of Expo 2010. The Shanghai case shows that
the Expo 2010 promoted urban transformation by assist-
ing polycentricity strategy, by facilitating the transition to
a leisure consumption and service economy, and by fos-
tering population decentralization from central city. Expo
2010 accelerated government’s objectives in a number of
ways: the mature of rapid transit system in central city, the
retreat of manufactures and the decentralization of low-in-
come population, all enable the municipal government to
build a polycentric urban system supported by new towns.
To implement such a large-scale project, Shanghai en-
countered numerous challenges. Problems are observed in
Expo 2010 as market economy in Shanghai is immature
and decentralization is asymmetric[46]
. In the Expo 2010,
the legacy of central-planned economy and land own-
ership impact on the mega-event strategy. On one hand,
government managed to force most of the enterprises and
residents to move without much negotiation since the land
is ultimately owned by government. On the other hand,
state owned enterprises with political capital hinder nego-
tiation for them to surrender land ownership. Thus, polit-
ical added value of mega-events did Shanghai municipal
government a great favor to accomplish all the relocation.
In all, mega-event project is effective to transform cities.
While mega-events are often criticized to be unsustainable
as they lead to massive social relocation and redundant in-
frastructure construction, these issues are not unsolvable.
What urban planners need to concern is how to best utilize
the advantages of mega-event strategy and to make it in
consistent with the city’s overall development objective.
Funding project: This work is supported by the Na-
tional Natural Science Foundation of China (Grant No.
5180839) and Shanghai Pujiang Program (Grant No.
17PJC084)
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Journal of Geographical Research
http://ojs.bilpublishing.com/index.php/jgr
ARTICLE
A Geographical Analysis of Urban Sprawl in Abuja, Nigeria
Susan Aniekwe and Nwabueze Igu*
Department of Geography and Meteorology, Nnamdi Azikiwe University, Awka, Anambra state, Nigeria
ARTICLE INFO ABSTRACT
Article history
Received: 24 December 2018
Accepted: 25 February 2019
Published: 5 March 2019
Urban sprawl is a challenge of the century across the globe; however its
greatest impact is felt more in developing countries mainly due to its poor
planning and ever increasing population. To ascertain how this affects a
notable African city, Abuja, a questionnaire design was employed to elicit
resident’s perception on the causes and effects of sprawl in the city. A
principal component analysis was performed to simplify the relationship
between large bodies of variables involved. This was able to collapse the
14 variables representing the causes of sprawl extracted from the response
of the respondents and 9 variables representing the effects of sprawl on
the environment and on the residents into significant and orthogonal com-
ponents that explained the variables in the observed data. Among the nine
factors that loaded highly on the components, population was the major
factor discovered to be responsible for the sprawl. The analysis further
showed the main effects of the sprawl on the city as: loss of biodiversity,
high dependency on car, traffic congestion, land degradation, alteration of
microclimate, destruction of aesthetics, increasing crime wave, pollution
and waste management problems. Adhering to the guidelines on urban
development for the city will help the residents not to be prone to the ef-
fects of urban sprawl and help to maintain good environmental standards
and less spending on maintenance on the part of the government.
Keywords:
Biodiversity loss
Land use change
Migration
Tropical areas
Sustainable development
Urban
1. Introduction
U
rban population have been growing at alarming
rates globally so much so that by 2030 urban
population will increase to nearly five billion;
with the land cover increasing by 1.2 million km2
and
nearly tripling the global urban land area [1]
. This growth
across urban areas have put pressures on the land and
social systems found across urban areas such that some
of them are being stretched above their limits and others
are deteriorating. On the other hand, the land use of such
locations are being modified to accommodate the growth
in population and the consequent expansion of buildings
which are being built in isolated tracts and scattered and
separated by vacant lands [2]
. This kind of haphazard and
leapfrog growth have continued to grow in magnitude es-
pecially because most people cannot afford the rising cost
of rent inside the cities and so prefers to live in the sub-
urbs with lower costs. With increasing desire and quest to
move to urban areas (especially among the younger gen-
eration), the trend is likely to continue in many locations
across developing countries like Nigeria.
Urban sprawl is a remarkable characteristic of urban
development pattern, which has emerged as a dominant
mode of growth worldwide [3]
. This challenge has been
compounded by the ever growing population figures expe-
*Corresponding Author:
Nwabueze Igu
Department of Geography and Meteorology, Nnamdi Azikiwe University, Awka, Anambra state, Nigeria
Email: nwabuezeigu@gmail.com
13
Journal of Geographical Research | Volume 02 | Issue 01 | January 2019
Distributed under creative commons license 4.0
rienced across most of the developing countries and have
reduced their land for vital activities such as agriculture
and recreation functions. While most developed coun-
tries have adopted policies and strategies to handle such
overarching issues, developing nations such as in Africa
appear to have lesser capacity to cope with the potential
effects of urban expansion and city growth, and so is
mostly overwhelmed with the magnitude of such impacts
that accrue from such occurrences.
With much population growth and expansion experi-
enced in Abuja, the capital city of Nigeria, much of the land
are increasingly being replaced by offices and expensive
housing units; hence forcing many of the residents who
cannot afford such rising costs to seek residence in the
suburbs. On the other hand, there has been an acceleration
in the rate of land consumption by constructions and other
developments within the locality, without due consideration
of interrelated factors such as transport, employment, health
and liveable factors. This rapid rate of urbanization and
uncontrolled population growth coupled with increases in
social, economic and political status of residents of this city
has led to competition for land for various uses. Such com-
petition for available land has contributed to urban sprawl
and changes in urban land use especially at the fringes over
the years. Consequently, the effects are beginning to pose
environmental challenges in many settlements across the
region and so are calling for concerted action.
The ongoing sprawling in the locality affects planning
by militating against healthy infrastructure planning since
new developments are scattered over space in the direc-
tion of the surrounding rural areas. In a bid to address
such concerns which is a global concern, diverse strate-
gies have been put forward for mitigating the problem of
urban sprawl, however much of such strategies have only
proffered solutions in the short run. Since urban sprawl is
dynamic, addressing it will require conscious and regular
monitoring that can be achieved through the measurement
of its numerical magnitude and spread over time. To fur-
ther address this, specific factors responsible for the oc-
currence of sprawl in urban areas needs to be determined
and updated within short time spans. With this in mind,
this study intends to elucidate the patterns of urban sprawl
in Abuja. Specifically, it will identify the factors triggering
its development in the area, determine the varying contri-
butions of these factors and show the effects it constitutes
on the environment.
2. Conceptual Framework
2.1 Concept of Sprawl
The concept of sprawl have been defined and discussed by
some key authors who shed light on the inherent process-
es and patterns associated with it. Ayeni [4]
viewed urban
growth as “axial growth”, that spreads from the centre in
the direction of communication lines. As a follow-up on
that, Okewole [5]
viewed sprawl in the context of forces
that stimulate sprawl growth. He argued that with regards
to urban sprawl, the ‘centrifugal forces are seen in the op-
posite direction of the centripetal forces’. He observed that
centripetal forces keeps some notable functions towards
the centre of the city and equally pull other functions to-
wards it as well. However, centrifugal forces instead radi-
ates from one location of the city to another, especially in
those areas surrounding the city that are seen to be rural.
Blanchard and Volchenkov [6]
, in defining urban sprawl
as a concept, applied the simple trade-off models to dual
graphs in a bid to forecast how urban sprawl could affect
the land use of local spaces. Since it is already established
that physical distances contributes much in shaping land
use trends, developments accruing from low density
sprawl will likely take more spaces than the convention-
al developments seen in urban areas. Therefore, sprawl
is conceived as spatial expansion of urban development
towards the peripheral areas of the city and beyond. It
should be borne in mind that sprawl needs to be viewed
space-time context, not only as the expansion of lands
classified as urban zones in a territory, but also the rate at
which the urban milieu grows with reference to popula-
tion [7]
.
Though there may be variations in thought as regards
what an urban sprawl means, it is generally accepted that
it is normally characterized by suburban patterns of devel-
opment and a density that is mostly low, as could be seen
in most cities [8]
. Furthermore, sprawl is mostly domiciled
in the fringes of urban zones, where the cost of low and
so could easily accommodate much development and the
regulations are not as strict as in locations nearer to estab-
lished urban territories [9]
. Such dispersion of urban land
uses in the rural milieu contributes to haphazard develop-
ment [10]
and is characteristic of much of the urban areas in
many parts of Nigeria.
3. Materials and Methods
3.1 Study Area
Abuja, the Federal Capital Territory (F.C.T), is located
north of the confluence of the Rivers Niger and Benue. It
is the capital of Nigeria, a country located in the West Af-
rican region of Africa, and lies between latitudes 8°25’26”
and 9°20’18” north of the equator, and longitudes 6°44’58”
and 7°39’45” east of the Greenwich Meridian. Geograph-
DOI: https://doi.org/ 10.30564/jgr.v2i1.344
14
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ically located in the centre of the country, it has a land
mass of approximately 7,353km2
. This territory is made up
of six local councils comprising the Federal Capital City
(F.C.C) and five Local Government Areas namely: Abaji,
Abuja Municipal Area Council (A.M.A.C), Gwagwalada,
Kuje, Bwari and Kwali.
Figure 1. Map of Nigeria showing Abuja
After the 1991 census, the city of Abuja was reported
as having a population of 371,674 and by 2006 census,
it rose to 1,406,239 [11]
. The Nigerian Population Com-
mission equally projected its population to reach about
2,238,753 by 2011 [11]
; becoming one of the leading cities
in Nigeria with reference to population. As of 2015, the
city still experienced annual growth rates of between 30-
35%, and is thus seen as one of the leading cities in Africa
and the world. Abuja has experienced much influx of
people and this unprecedented increase has resulted to the
development of satellite towns and smaller settlements to
accommodate this increased populace. With its projected
population of 3,564,126 persons, the metropolitan area of
Abuja is seen as the fourth largest in Nigeria, behind La-
gos, Kano and Ibadan. Much of the natural scenery of the
city is threatened by urban sprawl which has turned the
landscapes into modified ecosystems.
3.2 Data Collection
The population for the study comprised of inhabitants of
Abuja Municipal Area Council, which comprises of four
phases. Purposive non-probability sampling method was
used due to the fact that the aspect of the population to be
sampled was based on individuals living in these districts
within the Abuja Municipal. Thus, the twenty eight (28)
districts identified were purposively selected.
Based on the 1991 and 2006 population census, ob-
tained from the Annual Abstract of Statistics published by
NBS [11]
, growth rate of the study area was determined to
be 2.42%. The estimated 2011 population of Abuja munic-
ipal by the National Population Commission is 1,235,877
and was used to estimate population figures for 2018
which is not available using the equation below:
Where t is number of years, Pt: Population after t years,
Po: Population at the start, r: annual growth rate.
The 2018 population of AMAC using the formula was
estimated to be 1,461,062.
In order to determine the sample size of this popula-
tion, Taro Yamane [12]
formula was employed. This is giv-
en by the equation below:
Where, n is sample size; N is estimated 2018 popula-
tion of Abuja Municipal Area Council; e is the level of
significance or limit of tolerable error (0.05).
The sample size was calculated was 398 and this guid-
ed the questionnaire distribution.
Using stratified random sampling technique, each of
these districts was treated as strata in order to produce a
more representative data set for analysis. Given that no
data was available on the population of each district; the
questionnaires were distributed based on equal propor-
tions.
The major statistical technique employed was Princi-
pal Component Analysis and Correlation Analysis. Cor-
relation analysis was used to establish the relationships
between the various factors perceived to be the triggers of
urban sprawl. The Principal Component Analysis (PCA)
was used to collapse the variables indicating these caus-
ative factors of urban sprawl into significant and orthog-
onal components. The PCA are usually used as a result
of the severe auto-correlations noticed in the most geo-
graphic data. The largest amount of variation in the data
set is called an ‘eigen vector’ and is regarded as the first
principal component. Furthermore, a ‘varimax rotation’ is
employed for interpretation of the components and eigen
values greater than 1.00 are usually extracted and consid-
ered for interpretation [13]
. This statistical analysis was
eventually performed in SPSS version 20
The questionnaires were distributed with the aid of
four field assistants who assisted in the distribution and
collection of the questionnaire. From the questionnaire
administered, collected and analyzed, the results obtained
are presented as follows:
Table 1. Factors Causing Urban Sprawl in Abuja Munici-
pal Area Council
Factors Responsible for Sprawl Yes No No response Total
Population growth 398 - - 398
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Economic growth 362 33 3 398
Physical geography 345 53 - 398
Industrialization 193 203 2 398
Failure to enforce planning policies 349 40 9 398
Living and Property cost 364 31 3 398
Lack of Affordable Housing 358 40 - 398
Poor housing delivery 370 37 1 398
Lack of planning policies 120 235 43 398
Lack of political wills 346 48 4 398
Property Tax 301 38 59 398
Country living desire 376 - 22 398
Independent decision 319 44 35 398
Expectation of land appreciation 374 17 7 398
Furthermore, table 2 shows the response of the respon-
dents on what they perceived as effects of sprawl devel-
opment in Abuja. The respondents agreed that the case of
urban sprawl development have affected some parts of the
districts. Among these perceived effects of sprawl devel-
opment, traffic congestion ranked highest and this is fol-
lowed by waste management problems as well as loss of
biodiversity which cover vegetation loss, loss of land for
agricultural purposes and plant species. They also agreed
that the problem of high dependency on car contributed
to worsening traffic congestion issues especially moving
into central districts like Maitama and Asokoro from the
suburbs in the morning hours and leaving for the suburbs
at close of work. They equally agreed that sprawl is de-
stroying the aesthetic conditions of Abuja. They observed
that the development of new settlements at the country-
side which is heavily characterized by poor planning and
independent decision, led to poor aesthetics and repulsive
scenery. This is a common feature of Karu district of Abu-
ja. There is also the challenge of pollution especially from
poor waste disposal activities, open incineration of wastes
and pollution of water sources. The respondents acknowl-
edged that though crime levels are generally low but there
are increasing traces of crimes within some districts of
Abuja.
Table 2. Effects of Urban Sprawl in Abuja
Effects of Sprawl Yes No No response Total
Loss of biodiversity 359 36 3 398
High dependency on car 333 65 - 398
Traffic congestion 387 - 11 398
Land degradation 301 57 40 398
Alteration of microclimate 289 101 8 398
Destruction of aesthetics 344 49 5 398
Increased crime wave 127 233 38 398
Pollution 347 34 17 398
Waste management problems 376 22 - 398
4. Correlation and Principal Component
Analysis
Having presented the various factors causing sprawl in
Abuja as well as the effects of sprawl as perceived by the
respondents, effort was made to examine the nature of
the relationships among the various identified factors and
effects of sprawl. The result are presented in tables below.
These various factors were properly coded to ensure easy
handling of data for PCA analysis (Table 3). Correlation
analysis was conducted to examine the relationship be-
tween the factors responsible from sprawl growth as well
as the relationships between the various effects of this on
the environment and residents of the study area. The re-
sult of the correlation analysis on the factors of sprawl is
shown in table 4.
Table 3. Coding and Labeling of the 14 Factors Associat-
ed with Urban Sprawl in Abuja
S/N Variable Description Variable Code
1 Population growth X1
2 Economic growth X2
3 Physical geography X3
4 Industrialization X4
5 Failure to enforce planning policies X5
6 Living and Property cost X6
7 Lack of Affordable Housing X7
8 Poor housing delivery X8
9 Lack of planning policies X9
10 Lack of political wills X10
11 Property Tax X11
12 Country living desire X12
13 Independent decision X13
14 Expectation of land appreciation X14
Table 4 reveals a high association between some vari-
ables which indicates the presence of serial auto-correla-
tion as many of the factors provided show strong and sig-
nificant positive correlation with each order. For example,
X1 is strongly and positively correlated with X2, X3, X5,
X7,X8 and X12. Furthermore, X3 is very highly correlated
with X5and X8. With these very serious auto-correlations
that characterize the data, another statistic was employed
to properly explain the data. This was subjected to Prin-
cipal Component Analysis (PCA). This is a powerful
multivariate statistical analytical technique which is often
DOI: https://doi.org/ 10.30564/jgr.v2i1.344
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Distributed under creative commons license 4.0
employed in geographical examinations to simplify the
relationship between large bodies of variables. The PCA
analysis was able to collapse the 14 variables into signif-
icant and orthogonal components that explained the vari-
ables in the observed data. When PCA was transformed,
the primacy of three components manifested (Table 5)
Table 5. Varimax Rotated Component Matrix of the Vari-
ables
Variable
Components
I II III
X1 Population growth .740 .393 .482
X2 Economic growth .525 .421 .549
X3 Physical geography .754 .209 .255
X4 Industrialization .742 .099 .110
X5 Failure to enforce planning policies .789 .309 .361
X6 Living and Property cost .425 -.045 .656
X7 Lack of Affordable Housing .586 .347 .618
X8 Poor housing delivery .821 .471 .113
X9 Lack of planning policies .151 .719 -.215
X10 Lack of political wills .777 -.324 -.188
X11 Property Tax -.080 -.020 .748
X12 Country living desire .691 .496 .148
X13 Independent decision .167 .798 .358
X14 Expectation of land appreciation .695 .343 .173
Eigen value 5.382 2.449 2.388
% of variance explained 38.443 17.491 17.051
Cumulative % explained 38.443 55.934 72.991
The varimax rotation was employed in order to maxi-
mize the covariance loadings on each component so as to
achieve as many high and as many low loadings as possi-
ble while maintaining the orthogonality (i.e. the uncorrela-
tion) of the original components. From table 5, it is clear
that the three components explained 73% of the variance
while all the three components had eigen values greater
than 1.00. The variables with the highest loadings on each
of the components were picked and shown in tables 6-8
with their corresponding variables.
Table 6. Variables with high loadings on Component I
VARIABLE VARIABLE NAME LOADINGS
X1 Population 0.740
X3 Physical geography 0.754
X4 Industrialization 0.742
X5 Failure to enforce planning policies 0.789
X8 Poor housing delivery 0.821
X10 Lack of political wills 0.777
Table 7. Variables with high loadings on Component II
VARIABLE VARIABLE NAME LOADINGS
X9 Lack of planning policies 0.719
X13 Independent decision 0.798
Table 8. Variables with high loadings on Component III
VARIABLE VARIABLE NAME LOADINGS
X11 Property Tax 0.748
In addition, the perceived effects of sprawl (table 9) by
the respondents were subjected to correlation analysis to
determine their association or relationship.
Table 9. Coding and Labeling of the 9 Effects of Urban
Sprawl
S/N Variable Description Variable Code
1 Loss of biodiversity Y1
2 High dependency on car Y2
3 Traffic congestion Y3
Table 4. Correlation Matrix of Perceived Factors of Urban Sprawl in Abuja
X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14
X1 1
X2 .832 1
X3 .794 .632 1
X4 .561 .359 .518 1
X5 .906 .690 .733 .596 1
X6 .545 .476 .502 .496 .502 1
X7 .880 .838 .613 .477 .856 .522 1
X8 .845 .656 .725 .602 .860 .394 .705 1
X9 .260 .202 .222 .237 .315 .006 .103 .444 1
X10 .339 .243 .335 .466 .417 .153 .224 .466 .036 1
X11 .286 .271 .064 .092 .223 .335 .312 .050 .094 -.017 1
X12 .812 .660 .626 .558 .691 .397 .627 .754 .418 .425 .072 1
X13 .561 .610 .298 .336 .422 .308 .606 .535 .357 -.161 .140 .588 1
X14 .707 .566 .624 .577 .693 .320 .647 .821 .119 .261 -.002 .518 .504 1
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4 Land degradation Y4
5 Alteration of microclimate Y5
6 Destruction of aesthetics Y6
7 Increased crime wave Y7
8 Pollution Y8
9 Waste management problems Y9
The matrix of the correlation coefficients is shown in
table 10. This reveals a high association amongst all the
variables as well as a serious auto-correlation as all of the
coefficients provided show strong and significant positive
correlation with each order. With these very serious au-
to-correlations that characterize the data, it was subjected
to correlation results to PCA.
Table 10. Correlation Matrix of Effects of Urban Sprawl
Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
Y1 1
Y2 0.999 1
Y3 0.999 0.999 1
Y4 0.999 0.999 0.999 1
Y5 0.999 0.998 0.998 0.999 1
Y6 0.999 0.999 0.999 0.999 0.999 1
Y7 0.994 0.993 0.993 0.993 0.994 0.994 1
Y8 0.999 0.999 0.999 0.999 0.999 0.999 0.993 1
Y9 1.000 0.999 0.999 0.999 0.999 1.000 0.994 0.999 1
The PCA simplified the relationship between large bod-
ies of variables and was able to collapse the 9 variables
into only one component. Consequently, the PCA was
unable to rotate the solution. The implication of a single
component loading is that all the variables on effects of
sprawl are highly loaded on component one and the ef-
fects as perceived by the respondents are all dominant in
the study area across the various districts. As such, they
explained 99.8% of the variations of the consequences of
sprawl experienced in the study area (Table 11).
Table 11. Component Matrix for Effects of Sprawl
VARIABLES Component I
Y1 Loss of biodiversity 1.000
Y2 High dependency on car 0.999
Y3 Traffic congestion 0.999
Y4 Land degradation 0.999
Y5 Alteration of microclimate 0.999
Y6 Destruction of aesthetics 1.000
Y7 Increased crime wave 0.995
Y8 Pollution 0.999
Y9 Waste management problems 1.000
Eigen value 8.982
% of variance explained 99.801
Cumulative % explained 99.801
5. Discussion
This study underscores the various factors perceived by
the respondents that are contributing to the occurrence
of sprawl in Abuja Municipal Area Council and how the
sprawl is propagated through effects on the environment
and on the respondents. The findings from the survey
revealed that the major events which characterized the ex-
istence of sprawl in the study were mainly the rapid con-
version of agricultural land to urban use as it ranked the
highest, followed by automobile dependency and scattered
developments, while developments along the road ranked
lowest. Of the factors that are perceived to be responsible
for sprawl, population was unanimously agreed by the
respondents to be a triggering factor. This was followed
by increasing property and living cost, property tax, lack
of affordable housing, failure of enforcing planning po-
lices and lack of political will. The increasing population
of the Federal Capital City, Abuja was clearly captured
in a number of studies [14-16]
. These studies observed that
population exerts much pressure on natural resources and
as result, much of the available land is lost and converted
into built-up areas.
More so, the respondents agreed that the perceived ef-
fects of sprawl development are mainly traffic congestion
followed by loss of biodiversity. They also agreed that
there is the problem of high dependency on car which has
led to worsening traffic congestion issues as well as pol-
lution. These effects have equally been identified by other
works [17]
, who adds that such also leads to much of the
loss of biodiversity, vegetation and agricultural land, and
a leading cause of the changes in the micro-climate and
land degradation.
While many factors contributed to the sprawling effect
on the city, nine of them (as seen in components 1, 2 and 3;
table 6-8), nine of them (table 9) had major contributions
towards the sprawling growth of the city. In their study of
cities, Harvey and Clark [18]
asserted that (uncoordinated)
independence decision (which is one of the factors that
loaded highly in the study area) leads to poor, haphaz-
ard and irregular development, especially if a city lacks
a master plan. However, in the case of Abuja, where a
master plan exists, the lack of political will and failure to
enforce these policies on the part of government as per-
ceived by the respondents, ultimately leads to the same
impact as opined by Harvey and Clark [18]
. With the effects
of sprawl based on the PCA analysis, loading highly on a
single component, it meant that the highlighted effects are
DOI: https://doi.org/ 10.30564/jgr.v2i1.344
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evident in most parts of the study area.
6. Discussion
In conclusion, the growing demand for better life is likely
to lead to further influx of people into the study area and
continued expansion of the city with attendant sprawl
growth and effects. Thus the role of both development
authority and enforcement of planning policies, or re-eval-
uation of the existing plan in maintaining this rapidly ex-
panding city becomes increasingly important. This study
shows that sprawl growth is evident in the study area and
suggests that adherence to the stipulated policies will help
to curb the influence of urban sprawl and its effects in the
region.
References
[ 1 ] Seto, K. C., Guneralp, B. and Hutyra, L. R. (2012).
Global forecasts of urban expansion to 2030 and
direct impacts on biodiversity and carbon pools. Pro-
ceedings of the National Academy of Sciences 109
(40): 16083-16088.
[ 2 ] Lata, K. M., Sandra, R., Badrinath, K. V. S. (2001).
Measuring urban sprawl, a case study of Hydrabad.
GIS Dev. 5.
[ 3 ] Leichenko, R. and Solecki, W. (2005). Exporting the
American Dream: The globalization of Suburban
consumption landscapes. Regional Studies 39(2):
241-253.
[ 4 ] Ayeni, B. (1979). Concepts and techniques in urban
analysis. Croom Helm, London. 372pp.
[ 5 ] Okewole, E.A. (2002), Controlling urban sprawl in
developing countries through effective urban gover-
nance. A seminar paper: Department of Urban and
Regional Planning, O.A.U., Ile-Ife.
[ 6 ] Blanchard, P. and Volchenkov, D. (2008). Intelligi-
bility and first passage times in complex urban net-
works. Proceedings of the Royal Society 464: 2153-
2167.
[ 7 ] USEPA. (2001). Why should we be concerned about
sprawl? The Environmental Protection Agency.
[ 8 ] Ewing, R., Pendall, R. and Chen, D. (2003). Measur-
ing sprawl and its transportation impacts. Transporta-
tion Research Record 1831, 175–183.
[ 9 ] Galster, G., Henson, R., Ratcliffe, M. R., Wolman,
H., Coleman, S., and Freihage, J. (2001) Wrestling
Sprawl on the Ground: Defining and Measuring an
Elusive Concept, Housing Policy Debate, Vol. 12.
[10] Olujimi, J. (2009). Evolving a Planning Strategy for
Managing Urban Sprawl in Nigeria. Journal of Hu-
man Ecology, Vol. 25, No. 3:201-208.
[11] National Bureau of Statistics (2012) Annual Abstract
of Statistics. Federal Republic of Nigeria, www.nige-
rianstat.gov.ng.
[12] Yamane, T. (1967). Statistics: An Introductory Analy-
sis, 2nd
Ed., New York: Harper and Row.
[13] Anyadike, R.N.C. (2009). Statistical Methods for the
Social and Envireonmental Sciences. Ibadan: Spec-
trum Books, Ltd.
[14] Ifatimehin, O. and Ufuah, M.E (2006). “An Analysis
of Urban Expansion and Loss of Vegetation Cover in
Lokoja, Using GIS Techniques”. Zaria Geogr. 17(1):
28-36.
[15] Ifatimehin, O.O and Musa S.D (2008). Application
of Geoinformatic Technology in Evaluating Urban
Agriculture and Urban poverty in Lokoja. Niger. J.
Geogr. Environ. 1: 21-23.
[16] Ujoh, F., Kwabe, I.D. and Ifatimehin, O.O. (2008).
“Remote Sensing and GIS for Estimating Urban
Expansion and Agricultural Land Loss in Makurdi,
Nigeria”. Paper Presented at the International Con-
ference of the Arts and Humanities, University of
Abuja, Nigeria.
[17] Desanker, P.V., Frost, P.G.H., Justice, C.O. and
Scholes, R.J. (1997). Framework for a Terrestrial
Transect Study of Land Use and Land cover Change
in Ecosystem of Central Africa.
[18] Harvey, R. O. and Clark, W. A. V. (1965). The nature
and economics of urban sprawl. University of
Wisconsin press, 41(1): 1-9.
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Journal of Geographical Research | Volume 02 | Issue 01 | January 2019
Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.405
Journal of Geographical Research
http://ojs.bilpublishing.com/index.php/jgr
REVIEW
Wave Dynamics Investigation in Scope of Coastal Processes
Levent Yilmaz*
Nisantasi University, 1453 Neocampus, Maslak, Istanbul, Turkey
ARTICLE INFO ABSTRACT
Article history
Received: 12 December 2018
Accepted: 26 February 2019
Published: 5 March 2019
In this research it is established a classification system by which to
characterize atmospheric conditions, specifically those related to winter
extra tropical storms and fair weather. Numerous classification schemes
have been proposed to categorize atmospheric conditions in a variety of
environments-however, since meteorological processes are inherently
complicated, these are of necessity based on criteria that suit a particular
purpose. The system employed in this project was ultimately designed to
differentiate between: 1. fair weather and storm conditions; 2. different
phases of extratropical storms; 3. extratropical storms of different intensi-
ties and synoptic types.
Keywords:
Coastal
1. Introduction
I
t is useful to establish a classification system by which
to characterize atmospheric conditions, specifically
those related to winter extra tropical storms and fair
weather. Numerous classification schemes have been pro-
posed to categorize atmospheric conditions in a variety of
environments-however, since meteorological processes
are inherently complicated, these are of necessity based
on criteria that suit a particular purpose. The system em-
ployed in this project was ultimately designed to differ-
entiate between: 1. fair weather and storm conditions; 2.
different phases of extratropical storms; 3. extratropical
storms of different intensities and synoptic types. As
such, it draws upon several classification systems sug-
gested in the literature, as well as criteria specific to the
research, and employs both hourly wind velocity data and
daily national weather maps [1,2]
.
2. Wave Dynamics and Wind Waves
2.1 Wave Dynamics and Classifying Waves
The transfer of energy from water particle to water par-
ticle in the circular paths, or orbits, transmits wave en-
ergy across the ocean surface and causes the waveform
to move. This kind of wave is known as an orbital wave
which is a wave in that particles of the medium (water)
move in closed circles as the wave passes. Orbital sea
waves occur at the boundary between two media, between
air and water and between layers of water of different
densities. These waves are a type of progressive wave,
because the waveform moves forward. Sea waves have
distinct parts. The wave crest is the highest part of the
wave above average water level; the wave trough is the
valley between wave crests below average water level.
Wave height is the vertical distance between a wave crest
and the adjacent trough, while wavelength is the horizon-
tal distance between two successive wave crests. The time
it takes for two successive wave crests or troughs to pass
a fixed point, usually measured in seconds, is known as
the wave period. Wave frequency is the number of waves
*Corresponding Author:
Levent Yilmaz
Nisantasi University, 1453 Neocampus, Maslak, Istanbul, Turkey
Email: levent.yilmaz@nisantasi.edu.tr
20
Journal of Geographical Research | Volume 02 | Issue 01 | January 2019
Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.405
passing a fixed point per second. Frequency is the inverse
of period. The circular motion of water particles at the
surface of a wave continues underwater. Water particles
move diminishes rapidly with depth. For all practical
purposes, wave motion in deep-water waves is negligible
below a depth of one-half the wavelength. Since most
sea waves have moderate wavelengths, the circular dis-
turbance of the ocean that propagates these waves affects
only the uppermost layer of water [3-6]
.
Sea waves are classified by the disturbing force that
creates them, the extent to which the disturbing force con-
tinues to influence the waves once they are formed, the
restoring force that tries to flatten them, and their wave-
length [7]
.
Energy that causes sea waves to form is called a dis-
turbing force. Wind blowing across the sea surface pro-
vides the disturbing force for wind waves. Arrival of a
storm surge or seismic sea wave in an enclosed harbour
or bay, or a sudden change in atmospheric pressure is the
disturbing force for the resonant rocking of water known
as a seiche. Landslides, volcanic eruptions, and faulting of
the seafloor associated with earthquakes are the disturb-
ing forces for seismic sea waves which is also known as
tsunami. The disturbing forces for tides are changes in the
direction of gravitational forces among the Earth, moon,
and sun, combined with Earth’s rotation [8-11]
.
A wave that is formed and then propagates across the
sea surface without the further influence of the force that
formed it is known as a free wave. When wind waves
move away from the storm that created them, or when the
storm ceases, they continue without the injection of addi-
tional wind energy. Likewise, the tsunami waves caused
by submerged landslides or earthquakes continue to move
across the ocean surface long after the movement of the
landslide or earthquake has stopped [12]
.
Restoring force is the dominant force trying to return
the water surface to flatness after a wave has formed in
it. If the restoring force of a wave were quickly and fully
successful, a disturbed sea surface would immediately be-
come smooth, and the energy of the embryo wave would
be dissipated as heat. Waves continue after they form
because the restoring force overcompensates and causes
oscillation. There are also capillary waves and gravity
waves. The capillary waves are the first waves to form
when the wind blows. These small ripples are important in
transferring energy from air to water to drive sea currents.
Since the circular motion of water molecules in a wave
is nearly friction free, gravity waves can travel across
thousands of miles of ocean surface without disappearing,
eventually to break on a distant shore[13]
.
Wavelength is a direct measure of wave size. There
is the relation between disturbing and restoring forces,
period, and the relative amount of energy present in the
ocean’s surface for each wave type. More energy is stored
in wind waves than in any of the other wave types[14]
.
Figure. 1 The Distribution of wind power [16]
Figure 2. The distribution of wind velocity occurrence
(Weibull-Probability Distribution)
Figure 3. Results for Signal Processing Toolbox of Water
Level at 7. month at Gulf of Mexico[16]
21
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Distributed under creative commons license 4.0
Water Level 6.month
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1
23
45
67
89
111
133
155
177
199
221
243
265
287
309
331
353
375
397
419
441
463
485
507
529
551
573
595
617
639
661
683
705
Series1
Figure 4. Results for Signal Processing Toolbox of Water
Level at 6. month at Gulf of Mexico[16]
3. Result for the Coastal Processes
The Earth’s climate has changed with time, as has its at-
mospheric composition, its seawater chemistry, the size
and positions of its continents, and its life-forms. The
story of the Earth is the story of change and chance; its
history is written in the rocks, the water, and the genes of
the millions of organisms that have evolved on land and
in sea. Change is now progressing at an unnatural rate,
and these human-induced changes are imposing stress on
natural systems. In the last century the human beings have
developed the physical, chemical, and biological process-
es to destroy the world ocean and the atmosphere. We
need to act to moderate the negative effects of the destroy-
ing environmental. This is the reason for investigation the
coastal processes like hydro dynamical forces and atmo-
spheric circulations and other processes involving the sea
physics.
4. Conclusion
As researcher it is needed also some new innovation about
Earth Structure and Plate Tectonics, Sediments, Sea Phys-
ics, Atmospheric Circulation ,Wave Dynamics and Wind
Waves, Hydrodynamic Forces, Offshore and Onshore
Structures, Tsunami, Seiches, and Tides, Coasts, Simula-
tion Theory, Modelling and Experimental Tests and Envi-
ronmental Concerns
Appendix
Data for Coastal Processes as an Example
North-
ing
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2019
C2
DOI: https://doi.org/ 10.30564/jgr.v2i1.405
22
Journal of Geographical Research | Volume 02 | Issue 01 | January 2019
Distributed under creative commons license 4.0
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DOI: https://doi.org/ 10.30564/jgr.v2i1.405
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1
Journal of Geographical Research | Vol.2, Iss.1

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Journal of Geographical Research | Vol.2, Iss.1

  • 1.
  • 2. Editor-in-Chief Dr. Kowiyou Yessoufou University of Johannesburg, South Africa Editorial Board Members Krystle Ontong, South Africa Pedro Robledo Ardila, Spain Guobiao LI, China Yan Tan, Australia Antonio E. Ughi, Bolivarian Eva Savina Malinverni, Italy Pascal Mossay, United Kingdom Ye Wei, China Federico R. León, Peru Ruoniu (Vince) Wang, United States Jose Navarro Pedreño, Spain Adeline NGIE, South Africa Arumugam Jothibasu, India Jose Albors-Garrigos, Spain Shanthi Sabapathy, India Zhenghong Cheng, China Zhixiang Fang, China June Wang, Hong Kong Ljubica Ivanović Bibić, Serbia Luna Leoni, Italy Rubén Camilo Lois-González, Spain Antonio Messeni Petruzzelli, Italy Iurii Nickolaevich Golubchikov, Russian Federation Jesús López-Rodríguez, Spain Francesco Antonio Antonio, Italy Keith Hollinshead, United Kingdom Rudi Hartmann, United States Mirko Andreja Borisov, Serbia Ali Hosseini, Iran Shashi Bhushan Choudhary, India Kaiyong Wang, China Zhaowu Yu, China Xin Guang Zhang, China Manfred Ferdinand Buchroithner, Australia Han Yue, China Sanwei He, China Christos Kastrisios, United States Jianjian Zhao, China Jesús M. González-Pérez, Spain Vidwan Singh Soni, India Meifang Chen, United States Gengzhi Huang, China Aleksandar Djordje Valjarević, Serbia Milan Kubiatko, Slovakia Parulpreet Singh, India Abdelaziz Nasr El-hoshoudy, Egypt Jiafei Zhao, China Alexander Standish, United Kingdom Cristina Fernanda Alves Rodrigues, Portugal María José Piñeira Mantiñan, Spain Levent Yilmaz, Turkey Damian Kasza, Poland Thomas Marambanyika, Zimbabwe Chiara Certomà, Italy Christopher Robin Bryant, Canada Qiang Zou, China Naeema Mohamed Mohamed,United Arab Emirates Ndidzulafhi Innocent Sinthumule, South Africa Nwabueze Ikenna Igu, Nigeria Shaojian Wang, China Muhammad Asif, Pakistan Nevin Özdemir, Turkey Marwan Ghaleb Ghanem, Palestinian Muhammad Imran, Pakistan Liqiang Zhang, China Diep Dao, United States Luciano Mescia, Italy Carlos Teixeira, Canada S Bharath Bhushan, India Lingyue LI, China John P. Tiefenbacher, United States Maria De Andres, Spain Julien Grunfelder, Sweden Mykola Myhailovych Tsependa, Ukraine James Kurt Lein, Greece Angel Paniagua Mazorra, Spain Ola Johansson, United States Zhihong Chen, United States
  • 3. Dr. Kowiyou Yessoufou Editor-in-Chief Journal of Geographical Research Volume 2 Issue 1 · January 2019 · ISSN 2630-5070 (Online)
  • 4. Wave Dynamics Investigation in Scope of Coastal Processes Levent Yilmaz Application of GIS in Hydrologic Information Forecasting Xuan Li A Review of Landsat TM/ETM based Vegetation Indices as Applied to Wetland Ecosystems Gema Marco Dos Santos, Ignacio Meléndez-Pastor, Jose Navarro-Pedreño A mega-event approach to glurbanization: Insights from Expo 2010, Shanghai Lingyue Li A Geographical Analysis of Urban Sprawl in Abuja, Nigeria Susan Aniekwe and Nwabueze Igu Volume 2 | Issue 1 | January 2019 | Page 1-49 Journal of Geographical Research Article Review Contents Copyright Journal of Geographical Research is licensed under a Creative Commons-Non-Commercial 4.0 International Copyright (CC BY- NC4.0). Readers shall have the right to copy and distribute articles in this journal in any form in any medium, and may also modify, convert or create on the basis of articles. In sharing and using articles in this journal, the user must indicate the author and source, and mark the changes made in articles. Copyright © BILINGUAL PUBLISHING CO. All Rights Reserved. 1 12 19 30 34
  • 5. 1 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 Journal of Geographical Research http://ojs.bilpublishing.com/index.php/jgr ARTICLE A mega-event approach to glurbanization: Insights from Expo 2010, Shanghai Lingyue Li* Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, P. R. China ARTICLE INFO ABSTRACT Article history Received: 25 October 2018 Accepted: 7 November 2018 Published: 5 March 2019 This paper contributes to an in-depth understanding of how the me- ga-event contributes glurbanization of entrepreneurial city through a case study of Expo 2010 in Shanghai. It argues that spatial-related transfor- mation is central to mega-event approach to glurbanization yet the soft power building is uncertain. It implies that the domestic impacts of me- ga-events are likely to be more profound than their global influences. This corresponds to the capitalist transformation from Fordist-Keynesianism to neoliberalism, in which mega-events such as Olympic Games and World Exposition have increasingly been incorporated into urban development plan to boost urban agenda. Although the profile of world fairs is reduced and does not have the international impacts that they used to have, Shang- hai Expo 2010, the first Expo ever held in a developing country, is pinned hope on as the “Turn to Save the World Expo” and is unusually ambitious to bring opportunities in urban transformation. With a well-developed framework of glurbanization entailed by entrepreneurial city, this research enriches glurbanization theory by a thorough examination of Shanghai Expo. It finds that Expo-led landscape reconfiguration, spatial restructur- ing, and new sources provision effectively transformed Shanghai, propel- ling glurbanization in diminutive spatial scale. Yet, it remains powerless to impress the world as the voice of domestic propaganda is limited in the Western mainstream media. In all, the Expo case well exemplifies the power of mega-event approach to advancing local agenda, especially in spatial transformation per se, as well as its constraints in (re)shaping a global discourse. Keywords: Mega-events glurbanization Expo 2010 Shanghai *Corresponding Author: Lingyue Li*, Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, P. R. China lilingyue@tongji.edu.cn 1. Introduction S ince 1970s, neoliberalism has ingrained itself rhe- torically into the hosting of mega-events [1, 2] . In other words, mega-events have become vanguards of the global spread of neoliberalism and appeared as a significant impetus in the reconstruction and reposition- ing of ascending economies. A striking feature of world neoliberalization is that competing cities are active to articulate the globe to secure its most advantageous in- sertion into the changing interscalar division of labour in world economy, viz., glurbanization. To scholars, in-depth understanding of neoliberalization should at best go be- yond the extrinsically economic tsunami and conceive it a
  • 6. 2 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 path-dependent process molded by particularities of local history and institutions [3] . In such sense, mega-events unavoidably involves participation of multiple levels of governments, often in the form of entrepreneurialist ap- proach, and neopatrimonial forms of resource allocation [4] . Different from post-industrial cities in North America and Western Europe, the ongoing urban transformation of Shanghai did not inherit the regulatory landscape or the spatial organization of the Fordist city. As an advanced city in socialist market economy, Shanghai’s urban land- scape imprinted hybridity of planned and market econ- omy. Shanghai Expo thus involves complex regime that combines rigid planned economic system and neoliberal- ized socialist market economy. This echoes the worldwide evidence that mega-events herald a mixed neoliberal turn in political-economic practice [5] . This paper proposes that the mega-events-led transformations in Shanghai Expo should be understood as part of a neoliberal spatial pro- cess committed to and an active ascending of locality to the global arena, configured by a global-local, social-spa- tial dynamism. 2. The conceptual Framework 2.1 Glurbanization under Entrepreneurial City Glurbanization rests upon the premise that urban restruc- turing led by state rescaling and its concomitant intersca- lar strategies represents an advantageous process to rein- force city-region status and their global competitiveness building [6,7] . Glurbanization originated from the literature of urban entrepreneurialism. Urban entrepreneurialism has been prevailing since 1970s when the active, innova- tive role of local governments were well documented by a number of researchers in North America and Western Europe [8, 9-11] . The purpose of this entrepreneurial shift of local governance, as proclaimed by David Harvey [12] , was to address the widespread erosion of economic and fiscal base of large cities in the advanced capitalist economy. Unlike the earlier practices of managerialism that primar- ily concerned welfare provision to urban population, such an entrepreneurial stance strategically brought competi- tiveness building to the heartland of local governments’ agenda and fundamentally transformed the trajectory of urban process. In a broad sense, the shift from urban man- agerialism to entrepreneurialism was associated with the recession-induced transformation of capitalist dynamics: dynamics transits from a Fordist-Keynesian regime to a regime of "flexible accumulation" [13-17] that revived local- ism [18] under technology innovation and new international division of larbor. Though without an explicit definition of urban entrepreneurialism, Harvey’s work [12] generates significant insights into this study; first, urban entrepre- neurialism should be examined at varied scales, from mi- cro neighbourhoods, communities, to macro metropolis, nation state, and the like. Second, stance of central gov- ernments and the position of local government in urban hierarchy remain of tremendous importance to city com- petitive edge [19] . Third, urban "governance", involving extensive public-private partnership, means much more than urban "government". Indeed, under the entrepreneur- ial “governance” discourse, a defining feature for public government is its adventurous, outward-oriented posture, which substitutes its traditional gatekeeper stance, to foster local growth [20] . Such a speculative posture charac- terizes profit-making business firms and cities alike, viz. entrepreneurial firm and entrepreneurial city. The analogy entails the concept of city-level “glurbanisation” as one form of the more general phenomenon of firm-level “glo- calisation” [21] . Initially, “glocalisation” refers to the global localisation strategy pursued by Japanese firms in comparison with the globalisation strategies adopted by U.S. multinationals [22] . Then, it has been indiscriminately used to limn the polit- ically mediated deterritorialisation and reterritorialisation [23-25] . Jessop and Sum problematise the usage of this term and coined “glurbanisation” to refer to entrepreneurial strategies. To them, the “glocalisation” concept, which simply refers to any form of global-local interaction, has lost its original accuracy, whereas “glurbanisation” can more precisely capture the multiscalar articulation; first, studies of glurbanisation should replace the crude glob- al-local dichotomy with multiplicity of scales. Second, glurbanisation highlights chronotropic governance that was neglected in glocalisation. Third, extra-economic issues should be incorporated in the analysis of entrepreneurial competition. Fourth, glurbanization concerns more with the problems raised by entrepreneurial activities, rather than the advantages. Thereafter, glurbanization under en- trepreneurial city has been empirically researched world- wide such as in London, Guangzhou, and Australasian Cities [26-28] . Glurbanization can be understood as a process, a strategy, and an objective entrepreneurial city endeavors to achieve. It collapses the global and the local, opposes to the hierarchical design whereby the nation-state dictates how things work, and makes transformation possible both from below and above [7] . In this research, the entrepre- neurship qualities proposed by Jessop are citied to help identify approaches to glurbanization (see Table 1 for a simplified version), including the reconfiguration of urban landscape, restructuring of urban space, provision of new sources, and reposition of urban hierarchy.
  • 7. 3 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 Table 1. Entrepreneurship at the firm and city levels and approaches to glurbanization Schumpeter’s entrepre- neurial firm Jessop and Sum’s entre- preneurial city Approaches to glurban- ization New good New types of urban space Landscape reconfigu- ration New methods of production New methods of space production Space restructuring (for production and consumption) New markets for sales New markets of urban living New sources of mate- rials New sources of supply New sources provi- sion New production orga- nization New urban position in urban hierarchy Urban repositioning Source: authors compiled from [21, pp. 2289-2290] 2.2 Mega-events, Urban Regeneration, and Spa- tial Transformation Mega-events have evolved different in the turn of 1970s economic recession in capitalist society to build place competitiveness for economic growth [29-31] . Mega-events such as Olympic Games and World Exposition have in- creasingly been incorporated into urban development plan to help urban transformation [32, 33] . Browsing the past events, their nature as sport events diminished whereas their relation to cities is much fortified. This is largely attributed to the transition of Fordist-Keynesian policy to neoliberal economic strategy that entails a flexible way of capital accumulation [34] . A new urban spatial order is required to adapt to the changes such as the restructuring of urban form from monocentric city to polycentric me- ga-city region, the economic transition to service industry and leisure consumption, and the resulted decentraliza- tion of population from central (or inner) city to suburb. This is in line with the transition of urban renewal from slum-clearance and infrastructure-based strategy in 1950s to place competitiveness building in 1980s [35] . In neolib- eral urbanism, megaprojects with symbolic and substantial power in economic growth are unmissable to catalyze ur- ban agenda. The 2002 Manchester Commonwealth Games was vigorously linked with urban regeneration strategy [36] ; the 1998 Lisbon Expo was designed to revitalize a rundown industrial harbourside and create a new urban center [37] ; and the 2012 London Olympic Games reshaped east London to revive the dilapidated area [38] . Indeed, more and more cities launched mega-events. Under such circumstances, seeking the role of mega-event in urban transformation of those cities and its related effects will then have practical significance. The aforementioned review suggests that spatial-relat- ed transformation, in particular transformation intrinsic to urban regeneration to disentangle involuted interests such as landscape reconfiguration and urban space restructur- ing, is central to mega-event approach to glurbanization whereas soft power building such as repositioning global hierarchy of host cities is uncertain. This implies that the domestic impacts of mega-events are likely to be more profound than their global influences. 3. Research Methodology Case study approach, more similar to the experimen- tal isolation paradigm than to the randomized-assign- ment-to-treatments model, is applied in this research to clarify the obscure understanding towards mega-event ap- proach to glurbanization [39] . The efforts made by Shang- hai municipal government in the planning practice of the World Exposition 2010 provides an important lesson, not only because the effective delivery of the event realizes city vision but also because the issues it confronted are universe and thus noteworthy. Although the profile of world fairs is reduced and does not have the interna- tional impacts that they used to have [40] , Shanghai Expo 2010, the first Expo ever held in a developing country, is pinned hope on as the “Turn to Save the World Expo” and is unusually ambitious to bring opportunities in urban transformation. The event was strategically integrated into the overall urban development agenda and facilitat- ed the implementation of Shanghai master plan. By and large, Expo 2010 propelled Shanghai urban agenda ten years ahead of schedule. Thus, this paper goes beyond the event’s impact on tourism [41, 42] and focuses on the linkage of mega-events with the urban. Specifically, it unfolds the local context and details the pathway and effects of Expo 2010 to Shanghai’s glurbanization. The site of Expo 2010 was selected in between Nanpu and Lupu Bridge. As an old industrial base alongside the Huangpu River, it epito- mized China’s footprints to modernization and tracked the labyrinthian post-industrial trajectory of Shanghai. With event-led relocation, Shanghai municipal government determined to strategize Expo site to promote urban re- generation in central area and to disentangle the involuted interests that hinder its world city path. First-hand data have been obtained during several field trips to Shanghai since 2009 through interviews, observation and site reconnaissance. Method of triangula- tion is used in data collection to reduce the likelihood of misinterpretation [43] . Interviewing presents a major data collection method. Unstructured interviews are widely used throughout the whole study, and semi-structured interviews are conducted to get more detailed informa- tion. In semi-structured interview, questions are pre-con- sidered based on specific targets. An interviews outline
  • 8. 4 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 is proposed before the field trip. Sixteen people include government officials, planners, scholars, and developers accepted interview request. Each of the interviews was specially prepared and rearranged according to the inter- views outline. More interviewees (include the affected local habitants) were consulted by means of unstructured interviews. Participatory observation is applied to observe activities in Expo Park and Shanghai. Site reconnaissance is assumed to record the transformation of the city (land- marks, public space, city image, spatial restructuring) affected by the Expo project. Moreover, secondary data sources such as historical archives, statistical yearbooks, and official government reports related to Expo 2010 were accessed. Figure 1. Site selection of Shanghai Expo 2010: from Chuansha to Nanpu and Lupu. Source: author 4. Unfolding Local Context for Expo 2010 As a mega-event, Shanghai Expo is a dual strategy not only concretizing event function but also propelling urban transformation [44, 45] . Three major constraints impeding structural optimization of Shanghai before the host of Expo 2010. 4.1 Southward Extension of Huangpu River: Bot- tleneck for Renewal and Polycentricity Earlier initiated by municipal government, “Huangpu Riverside Project” aims to improve the comprehensive service quality along the waterfront line by replacing warehouses and old industrial factories to financial trade, eco-residence and cultural tourism. From north to south, the “Huangpu Riverside Project” has been divided into three sections that passes across several districts include Baoshan, Yangpu, Hongkou, Huangpu, Luwan, Xuhui and Pudong New Area. However, these districts have distinct humanity environment and exhibit a characteristic of “strong centrality (the Bund area) with two weak wings (northern and southern extension)” (figure 2). There are numerous industrial units located in the southern exten- sion of Huangpu River with many shanty houses, forming a mixed and low-quality land use that is facing with area decline. Indeed, the south wing of Huangpu Riverside is a scab for Shanghai’s urban expansion and polycentrici- ty strategy. The opening and development of Pudong in 1990s was a leapfrog expansion across Huangpu River, and the eastward breakthrough gradually expanded to Nanpu and Yangpu Bridge within ten years. Population growth in Liuli and Sanlin Town gradually surrounded and oppressed manufacturers along the Huangpu River bank. Nevertheless, further expansion to the south has been blocked by large-scale manufacturing enterprises, and is forced to take low-quality and leaping development mode. The bank area in between Lupu and Nanpu Bridge with the key units of Jiangnan Shipyard and Pudong Steel Factory became low-value land in downtown edge that hinders polycentricity strategy of Shanghai to construct a strong and multi-functional city center. So, Expo becomes an opportunity for the municipal government to renew the south wing of Huangpu River. Figure 2. Three sections of Huangpu Riverside Area Source: drawn by author, 2010 4.2 Bottleneck for Economic and Industrial Tran- sition Manufacture industry occupies Shanghai’s industrial structure. Since the opening and development of Pudong New Area, proportion of added value of secondary indus-
  • 9. 5 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 try has accounted for nearly 50%, playing an irreplaceable role in urban economic growth. Based on statistics of the contribution rate of economic growth by three industries, it can be found that secondary and tertiary industries alter- nately contribute to economic growth, but the secondary industry contributes more in average. From 1999 to 2003, contribution rate of economic growth by secondary in- dustry again surpassed tertiary industry. The effectiveness of industrial adjustment is questionable. The proportion of three industries in GDP, the tertiary industry has ac- counted for 50% since 1999, but didn’t change much until 2003 (with ratio of 50.9%). Shanghai’s tertiary industry or service economy has a long way to go compared to top world cities, New York (86.7%), London (85.0%) and To- kyo (72.7%). It needs impetus to speed up the stagnation of economic and industrial transition. Spatial adjustment might be an effective measure to catalyze the economic and industrial restructuring in coming years. 4.3 Over-dense Population in Central Area: Bot- tleneck for Suburbanization Until the end of year 2001, Shanghai pioneers in China with 75.3% urbanization rate. International metropolises such as New York, Los Angeles or Chicago were under- going suburbanization at similar stage in Shanghai. Nev- ertheless, spatial structure in Shanghai is yet to support suburbanization, as infrastructures, transportations, indus- tries and public facilities in suburb fell behind. The result is a much higher density of population in central area than in suburb. Comparing furthermore the population density in central area with that in Tokyo, New York and London in the year 2004, socio-demographic structure remains un- satifactory. in Shanghai is not as reasonable as these world cities. Both central area population density (1.51) and the proportion of central area population to suburb (2.82) in Shanghai are higher than Tokyo (1.35, 2.0) and much higher than New York (1.03, 0.73) and London (0.91, 0.65) (table 2). The over-dense population in central area and dispersed population in suburbs hardly support sustainable future development of the city. Table 2. Population comparison in central area, Shanghai, Tokyo, New York (2004) Location Shanghai Tokyo New York London Population density in central area (10,000people/km2) 1.51 1.35 1.03 0.91 Population in central area / population outside central area 2.82 2.0 0.73 0.65 Geographical area of central area (km2) 630 617 786 319 Source: Tokyo Statistical Yearbook 2004, Vital Statistics of New York State 2004, Office for National Statistics 2004 (adopted ONS's definition of inner London), Shanghai Statistical Yearbook 2005 5. Shanghai Expo 2010: A Mega-event Ap- proach to Glubanization 5.1 Landscape Reconfiguration: Urban Beautifi- cation and Shaping a Polycentric Urban Form News of bid winning from Monte Carlo, Monaco em- powered Shanghai municipal government with political power. The derelict industrial area will be refreshed to tidy up Shanghai’s world city pathway. As a strategic planning tool, Shanghai Expo is representative to clean up the messy waterfront site, replacing with modern well-de- signed urban space. A stylish entrepreneurial fabric favor- ing capital accumulation took shape on the edge of inner expressway. With remarkable group of landmarks, care- fully designed with graceful architectural style and public spaces, it is eye-catching and leaves precious legacies assimilating World Fair cultural into the local. Figure 3. The panorama of Expo site in 2004 and 2015 Source: Xinhua News Agency With the delivery of Expo project, a polycentric ur- ban form comes out. In master plan of Shanghai (1999- 2020), spatial layout of “multi-axis, multi-layer and multi- core” is proposed but insufficiently achieved. The reasons concealed are the intricate interests in downtown area which is ill-connected to suburbs. A strong urban core is a prerequisite for polycentricty for which Expo contrib- utes. The effection would be the accomplishment of the rapid transit system construction in Shanghai metropolis. After Pudong New Area jumping across Huangpu River, the Expo site further expands southward along the River to squeeze out low value-added land in downtown edge, facilitate the formation of a multi-functional city center to buttress the polycentricity strategy. Metro is the most important urban rapid transporation system in Shanhgai. The earliest metro lines 1, 2 and 3 and the maglev line formed the inital “cross + ring” (“申”) structure before 1993. After Shanghai obtained the oppor- tunity of Expo, metro network construction gained speed
  • 10. 6 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 and accomplished 410km in 2010. Four lines and three extension lines operated beforehand, over half of which was facilitated by Expo 2010. The direct impacts are the facilitated development of suburban new towns which, first suggested in 1959, help to decentralize population and upgrade industries in central city. The catalytic role of Expo 2010 in new town development is complied through TOD model which improved accessibility to central Shanghai. Songjiang, Jiading-Anting and Lingang as three strategically superiorial new towns benefit from it, espe- cially the first two. Table 3. Operation records for Shanghai Metro until June 30, 2010; (shadow for Expo facilitated ones) No. Operation records 1 1995.04.10: Jinjiang Park to Shanghai Raiway Station; 1997.07.01/2004.12.28/2007.12.29: Fujin Rd. to Xinzhuang 2 1999.10.20-2006.12.30: Zhangjiang Hi-tech Park to Song Hong Rd.; 2010.02.24/2010.03.16/2010.04.08: Xujing Dong to Pudong International Airport 3 2000.12.26/2006.12.18: Shanghai South Rail to North Jiangyang Rd. 5 2003.11.25: Xinzhuang to Minhang Development Zone 4 2005.12.31: “C” trial operation; 2007.12.29: link operations 6 2007.12.29: Gangcheng Rd. to South Lingyan Rd. 8 2007.12.29/2009.07.05: Shiguang Rd. to Pujiang Expo Home 9 2007.12.29/2009.12.31: Songjiang New Town to Middle Yang- gao Rd. 7 2009.12.05: Shanghai University to Huamu Rd. 11 2009.12.31/2010.03.29: North Jiading to Jiangsu Rd. / Anting to Jiading New Town (branch) 10 2010.04.10: Xin Jiangwan Cheng to Hangzhong Rd. 13 2010.05.01-2010.10.31: Temporary open three stations Source: www.shmetro.com; edited by author 5.2 Spatial Restructuring: Upgrading Industries, Decentralizing Population, and Enhancing Cul- tural Value Expo 2010 benefitted economic transitioin from manu- facturing to service and leisure consumption in Shanghai in three spatial layers: (1) urban area in inner expressway targeting tertiary industry; (2) area between inner and outer expressway planned for high-tech, high value-added and non-polluted industry; (3) area outside outer express- way encompassing three types of industries. The “tertiary – secondary – hybrid” structure spreads from the city cen- ter to outskirts. City center is entrusted to “suppress the secondary industry and develop the tertiary industry”. Yet, the great many rundown manufacturies hindered the for- mation. The proportion of tertiary industry in all, though has reached 50% of total GDP since 1999, had almost un- changed until 2003 before the event launched. Relocation of industries prepares Expo for economic and industrial upgrading. Sewed up Pudong and Puxi, Expo was the last valuable piece of land in downtown area. Both Puxi and Pudong area are occupied by mix-use of residential hous- ing, industries and warehouses, which accounted 62% of total land. They recorded China’s footprints to modern- ization as well imprinted a tough post-industrial trajectory of Shanghai. The Expo did a favor to pull manufacturing off the stage in city center and resume land through the “effective mega-event weapon” in the negotiation of in- dustrial restructrcturing. Post-Expo industrial planning contributes furthermore to the economic transition. Three adjacent neighborhoods in Pudong are integrated to build a “world-class civic center”, which prioritized headquar- ters economy, commerce and trade, creative industries and advanced services. The legacy plan of Expo encom- passed five functional zones from A to E. While Zone A and B are start up zones for convention, exhibitioin and business, Zone C is Houtan expansion district reserved for retail, trade and offices. Zone D and E in Puxi are foster- ing Shanghai to be a cultural and eco-living metropolis[35] . The effects are obstrue: the contribution rate of economic growth by tertiary industry increased significantly. Population decentralization represents another benefi- ciary impacts brought about by Expo 2010. Central Shang- hai was once overly populated for which the Expo event helps for defibering. Social displacements are unavoidable as over 18,000 households were facing relocation. People who were affected most were those low-income group. Such a massive social relocation was supported by a qual- ity urban planning and design. High-standard residences are maintained after field survey conducted during 2003 and 2004. For the theme “Better City, Better Life”, a plan- ning approach of “add, subtract, multiply and divide (+ – × ÷)” is adopted to community rehabilitation. The dem- olition is mild, respect local social network to cater safety, employment for low income, entertainment, equality, justice and fraternity. This gained support from neighbor- hoods and establish a good image of local government.
  • 11. 7 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 Figure 4. Pujiang Expo Home and Sanlin Expo Home; Source: shanghai.gov.cn; edited by author In a pro-growth society, engaging politics with cul- tural system is not easy even though “cultural value” has explained the importance of culture to politicians. Expo 2010 enhanced cultural value in two aspects: preserving visible cultural heritage and promoting invisible local culture. In Shanghai, Xintiandi is a well-known example exemplifying the power of cultural heritage in leisure consumption and capital accumulation, and later is widely imitated. As intangible and non-renewable resources, ur- ban cultural heritages are irreplaceable assets to buttress urban competitiveness building. In Expo Park, 20,000 square meters of historic buildings are preserved and more than 400,000 square meters old industrial architectures are reconstructed. The urban best and practice area (UBPA) in sub-district E, involving considerable reutilization of industrial heritage, is now a model for human-scale street regeneration. Shanghai, the birthplace of modern industry in China, accommodated great many industrial legacies. The big-span and high interior skeleton are invaluable for creative and art industries. Similar practices can be found in New York and Ruhr. As a world renowned mega-event, Expo 2010’s promotional effects cannot be underesti- mated. A well-illustrated example would be the Huang- pu-based Sanmin Culture which was diffused through public forums initiated by Expo. 5.3 New Sources Provision: Bringing Fund, Hu- man Capital, and Technologies Expo 2010 contributes to new sources provision mainly in three aspects: funds, human capital, and technologies. Government funding support and inward investment at- traction comprised two main sources of fund facilitated by Expo 2010. Though central government did not directly finance the event, its preferential policy and commitments prioritize the event in gaining funds from public domain. Funds for Expo include 7.15 billion RMB from the gov- ernment (around 40% of total budget), 8 billion RMB bonds approved by central government to issue propped up by land banding and repaid by future development (around 44% of total budget), and 2.85 billion RMB supplemented by diverse finance channels. A considerable amount of fund gained from contracts signed with banksi and private firms. In April 2004, Industrial and Commercial Bank of China, Pudong Development Bank and Shanghai Bank provided a total loan of 5.5 billion RMB to Shanghai Expo Land Holding Co. Ltd. Han Zheng, the Mayor of Shanghai when the event held, officially stated that plan- ning, management, and operation of Expo are open pro- cess calling for private capital to join. The Expo 2010 also facilitated inward investment attraction. After the low ebb from late nineties to early 21st century, Shanghai’s FDI has been on the rise since bid winning and entrained a small climax from 2006 to 2008 during the official large- scale publicity of the event (figure 7). Prominent increase of foreign investment can be found from January to Oc- tober during the host year 2010: 1) the singed contracted foreign capital surpassed 12.68 billion U.S. dollars (in- creasing 15.93% over 2009 in the same period) in which
  • 12. 8 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 the tertiary industrial sector has absorbed 10.432 billion U.S. dollars (accounting for 82.3% of the total contracted foreign capital); 2) the actual FDI was 9.12 billion U.S. dollars (increasing 4.00% over 2009 in the same period). Expo 2010 plays a great role in inward investment attrac- tion: 20 foreign-funded projects were signed in Oct. 14th with 1.23 billion U.S. dollars investment; 292 regional headquarters of MNCs were identified, 208 foreign in- vestment enterprises and 315 foreign-funded R&D centers were approved at the end of September 2010. Shanghai kept to be a dynamic foreign funded city in mainland Chi- na. The fixed asset investment kept increasing and went astonishingly high in 2009 approaching the Expo feast (figure 8). Self-financing was the main contributor yet the state budget was limited, imprinting the asymmetric path- way of economic decentralization and political centraliza- tion in central-local relations. Figure 5. FDI and TFEE (1 billion US dollars) Source: http://www.stats-sh.gov.cn; author edited Figure 6. Fixed asset investment Source: http://www.stats-sh.gov.cn; author edited The contribution of Expo 2010 to human capital attrac- tion revealed in infrastructural industry, third-party service industry and Expo-related jobs. A statistical report from ChinaHR illustrated a 43% increase of employment index before Expo over the year 2009. Construction of Expo Park necessitates a new round of human capital upgrad- ing. More than 70% of relational industrial firms anticipat- ed professional architects, designers and engineers. The ability to pay more guaranteed the attraction of qualified employees and enriched human resource supply in Shang- hai. Tourism industry initiated by Expo imposed demand on human capital in service sector. High-qualified human capital familiar with international practices, adapted to cultural diversity and excellent in language is favored by transnational corporations, e.g. Eastern Airlines, Shanghai No.1 Department Store, and Shanghai First Foot Chain Development Co. LTD. The event also offered many short-term positions of service-sector jobs, such as the safety inspector, interpreter, Expo VIP supervisor, recep- tionist, Expo hotline officer etc. More than ten thousand jobs are generated and ease the employment tension in job market. All these recruitments are competitive to play a role in post-Expo service industrial upgrading. Technology has greatly remolded our city since indus- trial revolution. As a product born industrial revolution of Great British, World Exposition is a significant media for technology improvement. “Expos and technology 1851- 2000” in appendix I lists the technologies launched and popularized in the previous Expos over the past centuries (Roche, 2000). Almost every session of Expo gave birth to a new type of technology that would rewrite urban progress agenda, e.g. the birth of telephone in 1876 Phila- delphia Expo, mass production cars in 1915 San Francisco Expo, the promotion of English phrase of “IT” in 2000 Hannover Expo. Shanghai Expo 2010, the first one la- beled with eco-low-carbon idea, tried to adopt many new technologies for energy saving. It fostered and encouraged intelligent green technology as innovative source of sup- ply for Shanghai’s future urban development. There are five technology highlights in the creation of Expo Park: the construction energy saving, new energy automobile, 4G communication, RFID (radio frequency identifica- tion), and intelligent transportation. Moreover, a series of eco-friendly technology such as integration of solar buildings, semiconductor lighting, water (ground) source heat pump, natural ventilation were applied in area of “four pavilions along the central axis”. In UBPA, the “Shanghai Eco-Home” saved more than 60% energy and reduced 140 tons of annual carbon dioxide emissions. The new energy automobile (include hybrid, pure electric and fuel cell vehicles) achieved “zero emission” of transportation in the Expo Park. In order to guarantee traffic operation, several fixed and mobile hydrogen refueling stations and maintenance bases for fuel cell vehicles were constructed. The Expo Park also used TD-LTE technology, a pioneer attempt worldwide, to complete the coverage of 4G com- munication test network by Shanghai Mobile. The RFID technology was used in the organization and management of Expo Park to improve the efficiency of passenger traf- fic. The intelligent transportation can ensure a timely up- date of traffic information, which is an effective measure for traffic efficiency during peak hours. The R&D invest- ment of new technology for Expo Park is more than 0.7 billion RMB from central and the municipal government.
  • 13. 9 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 5.4 Urban repositioning: An eye catching me- ga-event in question Figure 7. Media coverage from 1996-2010 Source: WNC; analyzed by author Figure 8. Number of reports from Asian and European countries Source: WNC, 2002-2010; analyzed by author 6. Conclusion Globalization and neoliberalization co-contribute to the transformation of urban order from traditional manu- facture to financial and service economy, from labor in- tensive activity to cultural and leisure consumption, and from monocentric city to polycentric mega-city region. Such transformation of urban space enables city to better adapt to capital accumulation in post-Fordism era. How- ever, implementation of the urban transformation strategy is not easy as it is a huge project which requires policy packages, fund resources, manpower, and may involve a series of interest issues and power struggles. Thus, though mega-events seem attractive, strategy integration is a challenge and has to overcome difficulties. For how to integrate mega-events into urban transformation, Shang- hai Expo at least has following implications for urban planning. Site selection for the event is the primary and key step to determine in what way and to what extent the event can contribute to the urban transformation. In the case of Shanghai, site selection of the Expo 2010 aims to revitalize the rundown riverside area to strengthen a polycentric urban form. The subsequent industrial and res- idential relocations would never accomplish without the opportunity of Expo 2010. The Shanghai case shows that the Expo 2010 promoted urban transformation by assist- ing polycentricity strategy, by facilitating the transition to a leisure consumption and service economy, and by fos- tering population decentralization from central city. Expo 2010 accelerated government’s objectives in a number of ways: the mature of rapid transit system in central city, the retreat of manufactures and the decentralization of low-in- come population, all enable the municipal government to build a polycentric urban system supported by new towns. To implement such a large-scale project, Shanghai en- countered numerous challenges. Problems are observed in Expo 2010 as market economy in Shanghai is immature and decentralization is asymmetric[46] . In the Expo 2010, the legacy of central-planned economy and land own- ership impact on the mega-event strategy. On one hand, government managed to force most of the enterprises and residents to move without much negotiation since the land is ultimately owned by government. On the other hand, state owned enterprises with political capital hinder nego- tiation for them to surrender land ownership. Thus, polit- ical added value of mega-events did Shanghai municipal government a great favor to accomplish all the relocation. In all, mega-event project is effective to transform cities. While mega-events are often criticized to be unsustainable as they lead to massive social relocation and redundant in- frastructure construction, these issues are not unsolvable. What urban planners need to concern is how to best utilize the advantages of mega-event strategy and to make it in consistent with the city’s overall development objective. Funding project: This work is supported by the Na- tional Natural Science Foundation of China (Grant No. 5180839) and Shanghai Pujiang Program (Grant No. 17PJC084) References [ 1 ] Makarychev, A.,A. Yatsyk. Brands, cities and (post- ) politics: A comparative analysis of urban strategies for the Universiade 2013 and the World Football Cup 2018 in Russia[J]. European Urban and Regional Studies, 2015, 22(2): p. 143-160. [ 2 ] Trubina, E. Manipulating neoliberal rhetoric: clien- telism in the run-up to international summits in Rus- sia[J]. European Urban and Regional Studies, 2015, 22(2): p. 128-142. [ 3 ] Ribeiro, L.C.d.Q.,O.A.d. Santos Junior. Neoliber- alization and mega-events: The transition of Rio de Janeiro’s hybrid urban order[J]. Journal of Urban Af- fairs, 2017, 39(7): p. 909-923. [ 4 ] Müller, M.,J. Pickles. Global games, local rules: Mega-events in the post-socialist world[J]. European Urban and Regional Studies, 2015, 22(2): p. 121- 127.
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  • 15. 11 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.188 [35] Deng, Y., S.W. Poon, E.H.W. Chan. Planning me- ga-event built legacies – A case of Expo 2010[J]. Habitat International, 2016, 53: p. 163-177. [36] Carlsen, J.,A. Millan. The links between mega events and urban renewal: the case of the Manchester 2002 Commonwealth Games[J]. Journal of Sport Tourism, 2002, 7(3): p. 4-5. [37] Carriere, J.-P.,C. Demaziere. Urban Planning and Flagship Development Projects: Lessons from EXPO 98, Lisbon[J]. Planning Practice & Research, 2002, 17(1): p. 69-79. [38] Imrie, R., L. Lees, M. Raco. Regenerating London : governance, sustainability and community in a global city[M]. 2009, Milton Park, Abingdon, Oxon ; New York, NY: Routledge. xiii, 353 p. [39] Yin, R.K. Case study research and applications: De- sign and methods[M]. 2017: Sage publications. [40] Hall,C. Michael. Urban entrepreneurship, corporate interests and sports mega‐events: the thin policies of competitiveness within the hard outcomes of neo- liberalism[J]. Sociological Review, 2006, 54(s2): p. 59-70. [41] Hall, C.M. Hallmark tourist events : impacts, man- agement, and planning[M]. 1992, London: Belhaven Press. [42] Syme, G.J., B.J. Shaw, D.M. Fenton, W.S. Mueller. The Planning and evaluation of hallmark events[M]. 1989, England: Avebury ; Brookfield, Vt. [43] Denzin, N.K.,Y.S. Lincoln. Handbook of qualitative research[M]. 1994, Thousand Oaks, Calif.: Sage Publications. [44] Deng, Y. Conceptualizing mega-event flagships—A case study of China Pavilion of Expo 2010 Shanghai China[J]. Frontiers of Architectural Research, 2013, 2(1): p. 107-115. [45] Chan, R.C.K.,L. Li. Entrepreneurial city and the re- structuring of urban space in Shanghai Expo[J]. Ur- ban Geography, 2017, 38(5): p. 666-686. [46] Wu, F., J. Xu, A.G.-O. Yeh. Urban Development in Post-reform China: State, Market, and Space[M]. 2007, London; New York: Routledge. i Industrial and Commercial Bank of China, Pudong Development Bank and Shanghai Bank provided a total loan of 5.5 billion RMB to Shanghai Expo Land Holding Co. Ltd.
  • 16. 12 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.344 Journal of Geographical Research http://ojs.bilpublishing.com/index.php/jgr ARTICLE A Geographical Analysis of Urban Sprawl in Abuja, Nigeria Susan Aniekwe and Nwabueze Igu* Department of Geography and Meteorology, Nnamdi Azikiwe University, Awka, Anambra state, Nigeria ARTICLE INFO ABSTRACT Article history Received: 24 December 2018 Accepted: 25 February 2019 Published: 5 March 2019 Urban sprawl is a challenge of the century across the globe; however its greatest impact is felt more in developing countries mainly due to its poor planning and ever increasing population. To ascertain how this affects a notable African city, Abuja, a questionnaire design was employed to elicit resident’s perception on the causes and effects of sprawl in the city. A principal component analysis was performed to simplify the relationship between large bodies of variables involved. This was able to collapse the 14 variables representing the causes of sprawl extracted from the response of the respondents and 9 variables representing the effects of sprawl on the environment and on the residents into significant and orthogonal com- ponents that explained the variables in the observed data. Among the nine factors that loaded highly on the components, population was the major factor discovered to be responsible for the sprawl. The analysis further showed the main effects of the sprawl on the city as: loss of biodiversity, high dependency on car, traffic congestion, land degradation, alteration of microclimate, destruction of aesthetics, increasing crime wave, pollution and waste management problems. Adhering to the guidelines on urban development for the city will help the residents not to be prone to the ef- fects of urban sprawl and help to maintain good environmental standards and less spending on maintenance on the part of the government. Keywords: Biodiversity loss Land use change Migration Tropical areas Sustainable development Urban 1. Introduction U rban population have been growing at alarming rates globally so much so that by 2030 urban population will increase to nearly five billion; with the land cover increasing by 1.2 million km2 and nearly tripling the global urban land area [1] . This growth across urban areas have put pressures on the land and social systems found across urban areas such that some of them are being stretched above their limits and others are deteriorating. On the other hand, the land use of such locations are being modified to accommodate the growth in population and the consequent expansion of buildings which are being built in isolated tracts and scattered and separated by vacant lands [2] . This kind of haphazard and leapfrog growth have continued to grow in magnitude es- pecially because most people cannot afford the rising cost of rent inside the cities and so prefers to live in the sub- urbs with lower costs. With increasing desire and quest to move to urban areas (especially among the younger gen- eration), the trend is likely to continue in many locations across developing countries like Nigeria. Urban sprawl is a remarkable characteristic of urban development pattern, which has emerged as a dominant mode of growth worldwide [3] . This challenge has been compounded by the ever growing population figures expe- *Corresponding Author: Nwabueze Igu Department of Geography and Meteorology, Nnamdi Azikiwe University, Awka, Anambra state, Nigeria Email: nwabuezeigu@gmail.com
  • 17. 13 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 rienced across most of the developing countries and have reduced their land for vital activities such as agriculture and recreation functions. While most developed coun- tries have adopted policies and strategies to handle such overarching issues, developing nations such as in Africa appear to have lesser capacity to cope with the potential effects of urban expansion and city growth, and so is mostly overwhelmed with the magnitude of such impacts that accrue from such occurrences. With much population growth and expansion experi- enced in Abuja, the capital city of Nigeria, much of the land are increasingly being replaced by offices and expensive housing units; hence forcing many of the residents who cannot afford such rising costs to seek residence in the suburbs. On the other hand, there has been an acceleration in the rate of land consumption by constructions and other developments within the locality, without due consideration of interrelated factors such as transport, employment, health and liveable factors. This rapid rate of urbanization and uncontrolled population growth coupled with increases in social, economic and political status of residents of this city has led to competition for land for various uses. Such com- petition for available land has contributed to urban sprawl and changes in urban land use especially at the fringes over the years. Consequently, the effects are beginning to pose environmental challenges in many settlements across the region and so are calling for concerted action. The ongoing sprawling in the locality affects planning by militating against healthy infrastructure planning since new developments are scattered over space in the direc- tion of the surrounding rural areas. In a bid to address such concerns which is a global concern, diverse strate- gies have been put forward for mitigating the problem of urban sprawl, however much of such strategies have only proffered solutions in the short run. Since urban sprawl is dynamic, addressing it will require conscious and regular monitoring that can be achieved through the measurement of its numerical magnitude and spread over time. To fur- ther address this, specific factors responsible for the oc- currence of sprawl in urban areas needs to be determined and updated within short time spans. With this in mind, this study intends to elucidate the patterns of urban sprawl in Abuja. Specifically, it will identify the factors triggering its development in the area, determine the varying contri- butions of these factors and show the effects it constitutes on the environment. 2. Conceptual Framework 2.1 Concept of Sprawl The concept of sprawl have been defined and discussed by some key authors who shed light on the inherent process- es and patterns associated with it. Ayeni [4] viewed urban growth as “axial growth”, that spreads from the centre in the direction of communication lines. As a follow-up on that, Okewole [5] viewed sprawl in the context of forces that stimulate sprawl growth. He argued that with regards to urban sprawl, the ‘centrifugal forces are seen in the op- posite direction of the centripetal forces’. He observed that centripetal forces keeps some notable functions towards the centre of the city and equally pull other functions to- wards it as well. However, centrifugal forces instead radi- ates from one location of the city to another, especially in those areas surrounding the city that are seen to be rural. Blanchard and Volchenkov [6] , in defining urban sprawl as a concept, applied the simple trade-off models to dual graphs in a bid to forecast how urban sprawl could affect the land use of local spaces. Since it is already established that physical distances contributes much in shaping land use trends, developments accruing from low density sprawl will likely take more spaces than the convention- al developments seen in urban areas. Therefore, sprawl is conceived as spatial expansion of urban development towards the peripheral areas of the city and beyond. It should be borne in mind that sprawl needs to be viewed space-time context, not only as the expansion of lands classified as urban zones in a territory, but also the rate at which the urban milieu grows with reference to popula- tion [7] . Though there may be variations in thought as regards what an urban sprawl means, it is generally accepted that it is normally characterized by suburban patterns of devel- opment and a density that is mostly low, as could be seen in most cities [8] . Furthermore, sprawl is mostly domiciled in the fringes of urban zones, where the cost of low and so could easily accommodate much development and the regulations are not as strict as in locations nearer to estab- lished urban territories [9] . Such dispersion of urban land uses in the rural milieu contributes to haphazard develop- ment [10] and is characteristic of much of the urban areas in many parts of Nigeria. 3. Materials and Methods 3.1 Study Area Abuja, the Federal Capital Territory (F.C.T), is located north of the confluence of the Rivers Niger and Benue. It is the capital of Nigeria, a country located in the West Af- rican region of Africa, and lies between latitudes 8°25’26” and 9°20’18” north of the equator, and longitudes 6°44’58” and 7°39’45” east of the Greenwich Meridian. Geograph- DOI: https://doi.org/ 10.30564/jgr.v2i1.344
  • 18. 14 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 ically located in the centre of the country, it has a land mass of approximately 7,353km2 . This territory is made up of six local councils comprising the Federal Capital City (F.C.C) and five Local Government Areas namely: Abaji, Abuja Municipal Area Council (A.M.A.C), Gwagwalada, Kuje, Bwari and Kwali. Figure 1. Map of Nigeria showing Abuja After the 1991 census, the city of Abuja was reported as having a population of 371,674 and by 2006 census, it rose to 1,406,239 [11] . The Nigerian Population Com- mission equally projected its population to reach about 2,238,753 by 2011 [11] ; becoming one of the leading cities in Nigeria with reference to population. As of 2015, the city still experienced annual growth rates of between 30- 35%, and is thus seen as one of the leading cities in Africa and the world. Abuja has experienced much influx of people and this unprecedented increase has resulted to the development of satellite towns and smaller settlements to accommodate this increased populace. With its projected population of 3,564,126 persons, the metropolitan area of Abuja is seen as the fourth largest in Nigeria, behind La- gos, Kano and Ibadan. Much of the natural scenery of the city is threatened by urban sprawl which has turned the landscapes into modified ecosystems. 3.2 Data Collection The population for the study comprised of inhabitants of Abuja Municipal Area Council, which comprises of four phases. Purposive non-probability sampling method was used due to the fact that the aspect of the population to be sampled was based on individuals living in these districts within the Abuja Municipal. Thus, the twenty eight (28) districts identified were purposively selected. Based on the 1991 and 2006 population census, ob- tained from the Annual Abstract of Statistics published by NBS [11] , growth rate of the study area was determined to be 2.42%. The estimated 2011 population of Abuja munic- ipal by the National Population Commission is 1,235,877 and was used to estimate population figures for 2018 which is not available using the equation below: Where t is number of years, Pt: Population after t years, Po: Population at the start, r: annual growth rate. The 2018 population of AMAC using the formula was estimated to be 1,461,062. In order to determine the sample size of this popula- tion, Taro Yamane [12] formula was employed. This is giv- en by the equation below: Where, n is sample size; N is estimated 2018 popula- tion of Abuja Municipal Area Council; e is the level of significance or limit of tolerable error (0.05). The sample size was calculated was 398 and this guid- ed the questionnaire distribution. Using stratified random sampling technique, each of these districts was treated as strata in order to produce a more representative data set for analysis. Given that no data was available on the population of each district; the questionnaires were distributed based on equal propor- tions. The major statistical technique employed was Princi- pal Component Analysis and Correlation Analysis. Cor- relation analysis was used to establish the relationships between the various factors perceived to be the triggers of urban sprawl. The Principal Component Analysis (PCA) was used to collapse the variables indicating these caus- ative factors of urban sprawl into significant and orthog- onal components. The PCA are usually used as a result of the severe auto-correlations noticed in the most geo- graphic data. The largest amount of variation in the data set is called an ‘eigen vector’ and is regarded as the first principal component. Furthermore, a ‘varimax rotation’ is employed for interpretation of the components and eigen values greater than 1.00 are usually extracted and consid- ered for interpretation [13] . This statistical analysis was eventually performed in SPSS version 20 The questionnaires were distributed with the aid of four field assistants who assisted in the distribution and collection of the questionnaire. From the questionnaire administered, collected and analyzed, the results obtained are presented as follows: Table 1. Factors Causing Urban Sprawl in Abuja Munici- pal Area Council Factors Responsible for Sprawl Yes No No response Total Population growth 398 - - 398 DOI: https://doi.org/ 10.30564/jgr.v2i1.344
  • 19. 15 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 Economic growth 362 33 3 398 Physical geography 345 53 - 398 Industrialization 193 203 2 398 Failure to enforce planning policies 349 40 9 398 Living and Property cost 364 31 3 398 Lack of Affordable Housing 358 40 - 398 Poor housing delivery 370 37 1 398 Lack of planning policies 120 235 43 398 Lack of political wills 346 48 4 398 Property Tax 301 38 59 398 Country living desire 376 - 22 398 Independent decision 319 44 35 398 Expectation of land appreciation 374 17 7 398 Furthermore, table 2 shows the response of the respon- dents on what they perceived as effects of sprawl devel- opment in Abuja. The respondents agreed that the case of urban sprawl development have affected some parts of the districts. Among these perceived effects of sprawl devel- opment, traffic congestion ranked highest and this is fol- lowed by waste management problems as well as loss of biodiversity which cover vegetation loss, loss of land for agricultural purposes and plant species. They also agreed that the problem of high dependency on car contributed to worsening traffic congestion issues especially moving into central districts like Maitama and Asokoro from the suburbs in the morning hours and leaving for the suburbs at close of work. They equally agreed that sprawl is de- stroying the aesthetic conditions of Abuja. They observed that the development of new settlements at the country- side which is heavily characterized by poor planning and independent decision, led to poor aesthetics and repulsive scenery. This is a common feature of Karu district of Abu- ja. There is also the challenge of pollution especially from poor waste disposal activities, open incineration of wastes and pollution of water sources. The respondents acknowl- edged that though crime levels are generally low but there are increasing traces of crimes within some districts of Abuja. Table 2. Effects of Urban Sprawl in Abuja Effects of Sprawl Yes No No response Total Loss of biodiversity 359 36 3 398 High dependency on car 333 65 - 398 Traffic congestion 387 - 11 398 Land degradation 301 57 40 398 Alteration of microclimate 289 101 8 398 Destruction of aesthetics 344 49 5 398 Increased crime wave 127 233 38 398 Pollution 347 34 17 398 Waste management problems 376 22 - 398 4. Correlation and Principal Component Analysis Having presented the various factors causing sprawl in Abuja as well as the effects of sprawl as perceived by the respondents, effort was made to examine the nature of the relationships among the various identified factors and effects of sprawl. The result are presented in tables below. These various factors were properly coded to ensure easy handling of data for PCA analysis (Table 3). Correlation analysis was conducted to examine the relationship be- tween the factors responsible from sprawl growth as well as the relationships between the various effects of this on the environment and residents of the study area. The re- sult of the correlation analysis on the factors of sprawl is shown in table 4. Table 3. Coding and Labeling of the 14 Factors Associat- ed with Urban Sprawl in Abuja S/N Variable Description Variable Code 1 Population growth X1 2 Economic growth X2 3 Physical geography X3 4 Industrialization X4 5 Failure to enforce planning policies X5 6 Living and Property cost X6 7 Lack of Affordable Housing X7 8 Poor housing delivery X8 9 Lack of planning policies X9 10 Lack of political wills X10 11 Property Tax X11 12 Country living desire X12 13 Independent decision X13 14 Expectation of land appreciation X14 Table 4 reveals a high association between some vari- ables which indicates the presence of serial auto-correla- tion as many of the factors provided show strong and sig- nificant positive correlation with each order. For example, X1 is strongly and positively correlated with X2, X3, X5, X7,X8 and X12. Furthermore, X3 is very highly correlated with X5and X8. With these very serious auto-correlations that characterize the data, another statistic was employed to properly explain the data. This was subjected to Prin- cipal Component Analysis (PCA). This is a powerful multivariate statistical analytical technique which is often DOI: https://doi.org/ 10.30564/jgr.v2i1.344
  • 20. 16 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 employed in geographical examinations to simplify the relationship between large bodies of variables. The PCA analysis was able to collapse the 14 variables into signif- icant and orthogonal components that explained the vari- ables in the observed data. When PCA was transformed, the primacy of three components manifested (Table 5) Table 5. Varimax Rotated Component Matrix of the Vari- ables Variable Components I II III X1 Population growth .740 .393 .482 X2 Economic growth .525 .421 .549 X3 Physical geography .754 .209 .255 X4 Industrialization .742 .099 .110 X5 Failure to enforce planning policies .789 .309 .361 X6 Living and Property cost .425 -.045 .656 X7 Lack of Affordable Housing .586 .347 .618 X8 Poor housing delivery .821 .471 .113 X9 Lack of planning policies .151 .719 -.215 X10 Lack of political wills .777 -.324 -.188 X11 Property Tax -.080 -.020 .748 X12 Country living desire .691 .496 .148 X13 Independent decision .167 .798 .358 X14 Expectation of land appreciation .695 .343 .173 Eigen value 5.382 2.449 2.388 % of variance explained 38.443 17.491 17.051 Cumulative % explained 38.443 55.934 72.991 The varimax rotation was employed in order to maxi- mize the covariance loadings on each component so as to achieve as many high and as many low loadings as possi- ble while maintaining the orthogonality (i.e. the uncorrela- tion) of the original components. From table 5, it is clear that the three components explained 73% of the variance while all the three components had eigen values greater than 1.00. The variables with the highest loadings on each of the components were picked and shown in tables 6-8 with their corresponding variables. Table 6. Variables with high loadings on Component I VARIABLE VARIABLE NAME LOADINGS X1 Population 0.740 X3 Physical geography 0.754 X4 Industrialization 0.742 X5 Failure to enforce planning policies 0.789 X8 Poor housing delivery 0.821 X10 Lack of political wills 0.777 Table 7. Variables with high loadings on Component II VARIABLE VARIABLE NAME LOADINGS X9 Lack of planning policies 0.719 X13 Independent decision 0.798 Table 8. Variables with high loadings on Component III VARIABLE VARIABLE NAME LOADINGS X11 Property Tax 0.748 In addition, the perceived effects of sprawl (table 9) by the respondents were subjected to correlation analysis to determine their association or relationship. Table 9. Coding and Labeling of the 9 Effects of Urban Sprawl S/N Variable Description Variable Code 1 Loss of biodiversity Y1 2 High dependency on car Y2 3 Traffic congestion Y3 Table 4. Correlation Matrix of Perceived Factors of Urban Sprawl in Abuja X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X1 1 X2 .832 1 X3 .794 .632 1 X4 .561 .359 .518 1 X5 .906 .690 .733 .596 1 X6 .545 .476 .502 .496 .502 1 X7 .880 .838 .613 .477 .856 .522 1 X8 .845 .656 .725 .602 .860 .394 .705 1 X9 .260 .202 .222 .237 .315 .006 .103 .444 1 X10 .339 .243 .335 .466 .417 .153 .224 .466 .036 1 X11 .286 .271 .064 .092 .223 .335 .312 .050 .094 -.017 1 X12 .812 .660 .626 .558 .691 .397 .627 .754 .418 .425 .072 1 X13 .561 .610 .298 .336 .422 .308 .606 .535 .357 -.161 .140 .588 1 X14 .707 .566 .624 .577 .693 .320 .647 .821 .119 .261 -.002 .518 .504 1 DOI: https://doi.org/ 10.30564/jgr.v2i1.344
  • 21. 17 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 4 Land degradation Y4 5 Alteration of microclimate Y5 6 Destruction of aesthetics Y6 7 Increased crime wave Y7 8 Pollution Y8 9 Waste management problems Y9 The matrix of the correlation coefficients is shown in table 10. This reveals a high association amongst all the variables as well as a serious auto-correlation as all of the coefficients provided show strong and significant positive correlation with each order. With these very serious au- to-correlations that characterize the data, it was subjected to correlation results to PCA. Table 10. Correlation Matrix of Effects of Urban Sprawl Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y1 1 Y2 0.999 1 Y3 0.999 0.999 1 Y4 0.999 0.999 0.999 1 Y5 0.999 0.998 0.998 0.999 1 Y6 0.999 0.999 0.999 0.999 0.999 1 Y7 0.994 0.993 0.993 0.993 0.994 0.994 1 Y8 0.999 0.999 0.999 0.999 0.999 0.999 0.993 1 Y9 1.000 0.999 0.999 0.999 0.999 1.000 0.994 0.999 1 The PCA simplified the relationship between large bod- ies of variables and was able to collapse the 9 variables into only one component. Consequently, the PCA was unable to rotate the solution. The implication of a single component loading is that all the variables on effects of sprawl are highly loaded on component one and the ef- fects as perceived by the respondents are all dominant in the study area across the various districts. As such, they explained 99.8% of the variations of the consequences of sprawl experienced in the study area (Table 11). Table 11. Component Matrix for Effects of Sprawl VARIABLES Component I Y1 Loss of biodiversity 1.000 Y2 High dependency on car 0.999 Y3 Traffic congestion 0.999 Y4 Land degradation 0.999 Y5 Alteration of microclimate 0.999 Y6 Destruction of aesthetics 1.000 Y7 Increased crime wave 0.995 Y8 Pollution 0.999 Y9 Waste management problems 1.000 Eigen value 8.982 % of variance explained 99.801 Cumulative % explained 99.801 5. Discussion This study underscores the various factors perceived by the respondents that are contributing to the occurrence of sprawl in Abuja Municipal Area Council and how the sprawl is propagated through effects on the environment and on the respondents. The findings from the survey revealed that the major events which characterized the ex- istence of sprawl in the study were mainly the rapid con- version of agricultural land to urban use as it ranked the highest, followed by automobile dependency and scattered developments, while developments along the road ranked lowest. Of the factors that are perceived to be responsible for sprawl, population was unanimously agreed by the respondents to be a triggering factor. This was followed by increasing property and living cost, property tax, lack of affordable housing, failure of enforcing planning po- lices and lack of political will. The increasing population of the Federal Capital City, Abuja was clearly captured in a number of studies [14-16] . These studies observed that population exerts much pressure on natural resources and as result, much of the available land is lost and converted into built-up areas. More so, the respondents agreed that the perceived ef- fects of sprawl development are mainly traffic congestion followed by loss of biodiversity. They also agreed that there is the problem of high dependency on car which has led to worsening traffic congestion issues as well as pol- lution. These effects have equally been identified by other works [17] , who adds that such also leads to much of the loss of biodiversity, vegetation and agricultural land, and a leading cause of the changes in the micro-climate and land degradation. While many factors contributed to the sprawling effect on the city, nine of them (as seen in components 1, 2 and 3; table 6-8), nine of them (table 9) had major contributions towards the sprawling growth of the city. In their study of cities, Harvey and Clark [18] asserted that (uncoordinated) independence decision (which is one of the factors that loaded highly in the study area) leads to poor, haphaz- ard and irregular development, especially if a city lacks a master plan. However, in the case of Abuja, where a master plan exists, the lack of political will and failure to enforce these policies on the part of government as per- ceived by the respondents, ultimately leads to the same impact as opined by Harvey and Clark [18] . With the effects of sprawl based on the PCA analysis, loading highly on a single component, it meant that the highlighted effects are DOI: https://doi.org/ 10.30564/jgr.v2i1.344
  • 22. 18 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 evident in most parts of the study area. 6. Discussion In conclusion, the growing demand for better life is likely to lead to further influx of people into the study area and continued expansion of the city with attendant sprawl growth and effects. Thus the role of both development authority and enforcement of planning policies, or re-eval- uation of the existing plan in maintaining this rapidly ex- panding city becomes increasingly important. This study shows that sprawl growth is evident in the study area and suggests that adherence to the stipulated policies will help to curb the influence of urban sprawl and its effects in the region. References [ 1 ] Seto, K. C., Guneralp, B. and Hutyra, L. R. (2012). Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Pro- ceedings of the National Academy of Sciences 109 (40): 16083-16088. [ 2 ] Lata, K. M., Sandra, R., Badrinath, K. V. S. (2001). Measuring urban sprawl, a case study of Hydrabad. GIS Dev. 5. [ 3 ] Leichenko, R. and Solecki, W. (2005). Exporting the American Dream: The globalization of Suburban consumption landscapes. Regional Studies 39(2): 241-253. [ 4 ] Ayeni, B. (1979). Concepts and techniques in urban analysis. Croom Helm, London. 372pp. [ 5 ] Okewole, E.A. (2002), Controlling urban sprawl in developing countries through effective urban gover- nance. A seminar paper: Department of Urban and Regional Planning, O.A.U., Ile-Ife. [ 6 ] Blanchard, P. and Volchenkov, D. (2008). Intelligi- bility and first passage times in complex urban net- works. Proceedings of the Royal Society 464: 2153- 2167. [ 7 ] USEPA. (2001). Why should we be concerned about sprawl? The Environmental Protection Agency. [ 8 ] Ewing, R., Pendall, R. and Chen, D. (2003). Measur- ing sprawl and its transportation impacts. Transporta- tion Research Record 1831, 175–183. [ 9 ] Galster, G., Henson, R., Ratcliffe, M. R., Wolman, H., Coleman, S., and Freihage, J. (2001) Wrestling Sprawl on the Ground: Defining and Measuring an Elusive Concept, Housing Policy Debate, Vol. 12. [10] Olujimi, J. (2009). Evolving a Planning Strategy for Managing Urban Sprawl in Nigeria. Journal of Hu- man Ecology, Vol. 25, No. 3:201-208. [11] National Bureau of Statistics (2012) Annual Abstract of Statistics. Federal Republic of Nigeria, www.nige- rianstat.gov.ng. [12] Yamane, T. (1967). Statistics: An Introductory Analy- sis, 2nd Ed., New York: Harper and Row. [13] Anyadike, R.N.C. (2009). Statistical Methods for the Social and Envireonmental Sciences. Ibadan: Spec- trum Books, Ltd. [14] Ifatimehin, O. and Ufuah, M.E (2006). “An Analysis of Urban Expansion and Loss of Vegetation Cover in Lokoja, Using GIS Techniques”. Zaria Geogr. 17(1): 28-36. [15] Ifatimehin, O.O and Musa S.D (2008). Application of Geoinformatic Technology in Evaluating Urban Agriculture and Urban poverty in Lokoja. Niger. J. Geogr. Environ. 1: 21-23. [16] Ujoh, F., Kwabe, I.D. and Ifatimehin, O.O. (2008). “Remote Sensing and GIS for Estimating Urban Expansion and Agricultural Land Loss in Makurdi, Nigeria”. Paper Presented at the International Con- ference of the Arts and Humanities, University of Abuja, Nigeria. [17] Desanker, P.V., Frost, P.G.H., Justice, C.O. and Scholes, R.J. (1997). Framework for a Terrestrial Transect Study of Land Use and Land cover Change in Ecosystem of Central Africa. [18] Harvey, R. O. and Clark, W. A. V. (1965). The nature and economics of urban sprawl. University of Wisconsin press, 41(1): 1-9. DOI: https://doi.org/ 10.30564/jgr.v2i1.344
  • 23. 19 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.405 Journal of Geographical Research http://ojs.bilpublishing.com/index.php/jgr REVIEW Wave Dynamics Investigation in Scope of Coastal Processes Levent Yilmaz* Nisantasi University, 1453 Neocampus, Maslak, Istanbul, Turkey ARTICLE INFO ABSTRACT Article history Received: 12 December 2018 Accepted: 26 February 2019 Published: 5 March 2019 In this research it is established a classification system by which to characterize atmospheric conditions, specifically those related to winter extra tropical storms and fair weather. Numerous classification schemes have been proposed to categorize atmospheric conditions in a variety of environments-however, since meteorological processes are inherently complicated, these are of necessity based on criteria that suit a particular purpose. The system employed in this project was ultimately designed to differentiate between: 1. fair weather and storm conditions; 2. different phases of extratropical storms; 3. extratropical storms of different intensi- ties and synoptic types. Keywords: Coastal 1. Introduction I t is useful to establish a classification system by which to characterize atmospheric conditions, specifically those related to winter extra tropical storms and fair weather. Numerous classification schemes have been pro- posed to categorize atmospheric conditions in a variety of environments-however, since meteorological processes are inherently complicated, these are of necessity based on criteria that suit a particular purpose. The system em- ployed in this project was ultimately designed to differ- entiate between: 1. fair weather and storm conditions; 2. different phases of extratropical storms; 3. extratropical storms of different intensities and synoptic types. As such, it draws upon several classification systems sug- gested in the literature, as well as criteria specific to the research, and employs both hourly wind velocity data and daily national weather maps [1,2] . 2. Wave Dynamics and Wind Waves 2.1 Wave Dynamics and Classifying Waves The transfer of energy from water particle to water par- ticle in the circular paths, or orbits, transmits wave en- ergy across the ocean surface and causes the waveform to move. This kind of wave is known as an orbital wave which is a wave in that particles of the medium (water) move in closed circles as the wave passes. Orbital sea waves occur at the boundary between two media, between air and water and between layers of water of different densities. These waves are a type of progressive wave, because the waveform moves forward. Sea waves have distinct parts. The wave crest is the highest part of the wave above average water level; the wave trough is the valley between wave crests below average water level. Wave height is the vertical distance between a wave crest and the adjacent trough, while wavelength is the horizon- tal distance between two successive wave crests. The time it takes for two successive wave crests or troughs to pass a fixed point, usually measured in seconds, is known as the wave period. Wave frequency is the number of waves *Corresponding Author: Levent Yilmaz Nisantasi University, 1453 Neocampus, Maslak, Istanbul, Turkey Email: levent.yilmaz@nisantasi.edu.tr
  • 24. 20 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 DOI: https://doi.org/ 10.30564/jgr.v2i1.405 passing a fixed point per second. Frequency is the inverse of period. The circular motion of water particles at the surface of a wave continues underwater. Water particles move diminishes rapidly with depth. For all practical purposes, wave motion in deep-water waves is negligible below a depth of one-half the wavelength. Since most sea waves have moderate wavelengths, the circular dis- turbance of the ocean that propagates these waves affects only the uppermost layer of water [3-6] . Sea waves are classified by the disturbing force that creates them, the extent to which the disturbing force con- tinues to influence the waves once they are formed, the restoring force that tries to flatten them, and their wave- length [7] . Energy that causes sea waves to form is called a dis- turbing force. Wind blowing across the sea surface pro- vides the disturbing force for wind waves. Arrival of a storm surge or seismic sea wave in an enclosed harbour or bay, or a sudden change in atmospheric pressure is the disturbing force for the resonant rocking of water known as a seiche. Landslides, volcanic eruptions, and faulting of the seafloor associated with earthquakes are the disturb- ing forces for seismic sea waves which is also known as tsunami. The disturbing forces for tides are changes in the direction of gravitational forces among the Earth, moon, and sun, combined with Earth’s rotation [8-11] . A wave that is formed and then propagates across the sea surface without the further influence of the force that formed it is known as a free wave. When wind waves move away from the storm that created them, or when the storm ceases, they continue without the injection of addi- tional wind energy. Likewise, the tsunami waves caused by submerged landslides or earthquakes continue to move across the ocean surface long after the movement of the landslide or earthquake has stopped [12] . Restoring force is the dominant force trying to return the water surface to flatness after a wave has formed in it. If the restoring force of a wave were quickly and fully successful, a disturbed sea surface would immediately be- come smooth, and the energy of the embryo wave would be dissipated as heat. Waves continue after they form because the restoring force overcompensates and causes oscillation. There are also capillary waves and gravity waves. The capillary waves are the first waves to form when the wind blows. These small ripples are important in transferring energy from air to water to drive sea currents. Since the circular motion of water molecules in a wave is nearly friction free, gravity waves can travel across thousands of miles of ocean surface without disappearing, eventually to break on a distant shore[13] . Wavelength is a direct measure of wave size. There is the relation between disturbing and restoring forces, period, and the relative amount of energy present in the ocean’s surface for each wave type. More energy is stored in wind waves than in any of the other wave types[14] . Figure. 1 The Distribution of wind power [16] Figure 2. The distribution of wind velocity occurrence (Weibull-Probability Distribution) Figure 3. Results for Signal Processing Toolbox of Water Level at 7. month at Gulf of Mexico[16]
  • 25. 21 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 Water Level 6.month 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 23 45 67 89 111 133 155 177 199 221 243 265 287 309 331 353 375 397 419 441 463 485 507 529 551 573 595 617 639 661 683 705 Series1 Figure 4. Results for Signal Processing Toolbox of Water Level at 6. month at Gulf of Mexico[16] 3. Result for the Coastal Processes The Earth’s climate has changed with time, as has its at- mospheric composition, its seawater chemistry, the size and positions of its continents, and its life-forms. The story of the Earth is the story of change and chance; its history is written in the rocks, the water, and the genes of the millions of organisms that have evolved on land and in sea. Change is now progressing at an unnatural rate, and these human-induced changes are imposing stress on natural systems. In the last century the human beings have developed the physical, chemical, and biological process- es to destroy the world ocean and the atmosphere. We need to act to moderate the negative effects of the destroy- ing environmental. This is the reason for investigation the coastal processes like hydro dynamical forces and atmo- spheric circulations and other processes involving the sea physics. 4. Conclusion As researcher it is needed also some new innovation about Earth Structure and Plate Tectonics, Sediments, Sea Phys- ics, Atmospheric Circulation ,Wave Dynamics and Wind Waves, Hydrodynamic Forces, Offshore and Onshore Structures, Tsunami, Seiches, and Tides, Coasts, Simula- tion Theory, Modelling and Experimental Tests and Envi- ronmental Concerns Appendix Data for Coastal Processes as an Example North- ing Easting Eleva- tion De- scrip- tion North- ing Easting Eleva- tion De- scrip- tion North- ing Easting Eleva- tion De- scrip- tion North- ing Easting Eleva- tion De- scrip- tion North- ing Easting Eleva- tion De- scrip- tion North- ing Easting Eleva- tion De- scrip- tion North- ing Easting Eleva- tion De- scrip- tion 5000 5000 100 BM 5000 5000 100, 0079 BM 5000 5000 100, 031 MON 5000 5000 100, 15 START 5000 5000 100, 4674 START 5000 5000 99, 96186 BM 5000 5000 99, 91852 OCC 4999, 915 4985, 882 101, 2856 BM 4999, 973 4985, 837 101, 2858 BM 4999, 96 4985, 884 101, 2832 BM- TOP 5000 4985, 823 101, 2848 BM 5000, 002 4985, 804 101, 2858 MON 4999, 988 4985, 864 101, 2791 BM 5000, 056 4985, 725 101, 2833 WEST- PIPE 4999, 933 4985, 895 101, 2844 BM 4999, 956 4985, 883 101, 2837 BM 4999, 989 4985, 837 101, 2875 BM- TOP 5000, 024 4985, 81 101, 2859 BM 5000, 002 4985, 811 101, 2855 MON 4999, 927 4985, 763 101, 2892 BM 4999, 984 4985, 73 101, 2877 WEST- PIPE 4999, 992 4985, 799 101, 2865 BM 4999, 957 4985, 821 101, 2869 BM 4999, 969 4985, 856 101, 2858 BM- TOP 5000, 023 4985, 812 101, 2857 BM 5000, 002 4985, 816 101, 2852 MON 4999, 996 4985, 777 101, 2883 BM 4965, 675 4965, 256 99, 53965 C1 5000, 024 4985, 786 100, 3995 BBM 5000, 126 4985, 808 100, 3771 BM GROUND 4961, 522 4962, 344 99, 54422 C1 4962, 014 4962, 432 99, 57083 C1 4962, 035 4962, 237 99, 48524 L1 99, 80999 5000, 031 4985, 751 100, 3756 BMG 4965, 934 4965, 056 100, 1658 C1 4968, 74 4965, 119 100, 2475 C1 4961, 608 4962, 027 99, 55238 C1 4962, 132 4962, 505 99, 62539 C1 4962, 489 4962, 461 99, 71262 C1 4962, 717 4962, 277 99, 54094 L1 4962, 554 4962, 539 99, 4915 C1 4966, 569 4965, 009 100, 1872 C1 4964, 659 4963, 284 100, 1952 C1 4962, 023 4962, 249 99, 60162 C1 4962, 214 4962, 538 100, 0517 C1 4962, 674 4962, 403 100, 1251 C1 4962, 904 4962, 441 100, 0267 L1 5000, 805 5000, 34 105, 114 C1 4968, 699 4964, 957 100, 2317 C1 4962, 3 4962, 276 100, 1202 C1 4962, 333 4962, 329 100, 0777 C1 4964, 397 4963, 339 100, 2032 C1 4964, 433 4963, 292 100, 2241 C1 4964, 419 4963, 225 100, 1871 L1 5000, 78 5000, 33 104, 9598 C1 5008, 196 4964, 537 100, 1956 C1 4962, 051 4962, 073 99, 54739 C1 4964, 728 4963, 224 100, 2216 C1 4968, 386 4965, 104 100, 2285 C1 4968, 428 4965, 12 100, 2515 C1 4968, 461 4965, 032 100, 2258 L1 5000, 716 5000, 308 104, 5619 C1 5009, 77 4963, 993 100, 0397 C1 4988, 831 4980, 031 99, 96839 C2 4968, 729 4964, 933 100, 2437 C1 4989 4979, 867 99, 91924 C2 4990, 653 4978, 672 100, 076 C2 5015, 028 4976, 323 100, 3081 L2 5000, 541 5000, 3 103, 8157 C2 5009, 975 4963, 77 99, 60242 C1 4991, 442 4977, 912 100, 2056 C2 4988, 287 4979, 981 99, 89547 C2 4991, 005 4978, 295 100, 1614 C2O 4991, 614 4977, 816 100, 2313 C2 5019, 559 4976, 426 100, 252 L2 5000, 567 5000, 313 103, 7793 C2 5009, 951 4963, 23 99, 4374 C2 4993, 895 4976, 011 100, 4711 C2 4990, 266 4978, 833 100, 1118 C2 4995, 686 4974, 478 100, 6605 C2O 4991, 699 4977, 774 100, 3015 C2 5022, 46 4976, 396 100, 2095 L2 5000, 532 5000, 288 103, 5276 C2 5009, 37 4963, 583 100, 1382 C2 4995, 909 4974, 391 100, 5891 C2 4991, 677 4977, 838 100, 2294 C2 4998, 354 4972, 343 100, 6127 C2 4995, 714 4974, 533 100, 6613 C2 5024, 181 4976, 459 100, 0533 L2 5000, 485 5000, 262 103, 2137 C2 5008, 211 4964, 524 100, 2019 C2 DOI: https://doi.org/ 10.30564/jgr.v2i1.405
  • 26. 22 Journal of Geographical Research | Volume 02 | Issue 01 | January 2019 Distributed under creative commons license 4.0 4998, 447 4972, 324 100, 6291 C2 4992, 559 4977, 095 100, 3968 C2 4998, 597 4972, 146 100, 4948 C2 4998, 379 4972, 261 100, 5993 C2 5024, 497 4976, 386 99, 71318 L2 5000, 415 5000, 214 102, 7273 C2 5004, 881 4967, 172 100, 2717 C2 4998, 629 4972, 203 100, 4602 C2O 4995, 97 4974, 344 100, 5941 C2O 4998, 871 4971, 901 100, 4564 C2 4998, 663 4972, 06 100, 4678 C2 5024, 994 4976, 54 99, 6171 L2 5000, 38 5000, 186 102, 4993 C2 4999, 134 4971, 793 100, 4063 C2 4999, 103 4971, 748 100, 405 C2 4998, 484 4972, 3 100, 6112 C2O 5004, 599 4967, 224 100, 295 C2 4998, 891 4971, 932 100, 4552 C2 4989, 128 4979, 635 99, 87739 L3 5000, 36 5000, 171 102, 303 C2 4995, 97 4974, 37 100, 7358 C2 5004, 843 4967, 161 100, 2849 C2 4998, 708 4972, 139 100, 4413 C2O 5007, 889 4964, 574 100, 2105 C2 5004, 67 4967, 298 100, 2962 C2 4991, 064 4978, 643 100, 0786 L3 5000, 356 5000, 166 102, 2661 C2 4993, 231 4976, 442 100, 218 C2 5008, 159 4964, 54 100, 2196 C2 4999, 149 4971, 765 100, 3832 C2 5011, 283 4961, 969 100, 083 C2 5007, 973 4964, 647 100, 2273 C2 4991, 457 4977, 948 100, 286 L3 5000, 45 5000, 28 103, 2658 C3 4991, 386 4977, 864 100, 0152 C2 5011, 561 4963, 441 100, 119 C2 5004, 869 4967, 148 100, 2704 C2 5011, 428 4961, 907 99, 58754 C2 5011, 135 4962, 115 100, 0715 C2 4995, 709 4974, 568 100, 5777 L3 5000, 471 5000, 291 103, 2246 C3 4989, 496 4978, 842 99, 81373 C2 5011, 628 4963, 359 100, 0214 C2 5008, 207 4964, 579 100, 2053 C2 5011, 884 4961, 874 99, 60119 C2 5011, 312 4961, 991 99, 7151 C2 4998, 923 4971, 927 100, 4469 L3 5000, 464 5000, 285 103, 1737 C3 5023, 296 4976, 18 99, 58252 C3 5015, 239 4976, 284 100, 2645 C3 5011, 332 4962, 122 100, 0884 C2 5015, 035 4976, 236 100, 2717 C3 5011, 776 4961, 875 99, 6323 C2 5004, 635 4967, 297 100, 282 L3 5000, 436 5000, 268 102, 9803 C3 5022, 822 4976, 279 100, 051 C3 5019, 838 4976, 373 100, 2632 C3 5011, 484 4962, 129 99, 65297 C2 5019, 52 4976, 295 100, 261 C3 5025, 284 4976, 447 99, 69816 C3 5007, 977 4964, 65 100, 2205 L3 5000, 403 5000, 236 102, 7219 XXX 5019, 802 4976, 37 100, 29 C3 5022, 766 4976, 41 100, 2257 C3 5012, 103 4961, 935 99, 57026 C2 5022, 452 4976, 306 100, 2209 C3 5024, 75 4976, 441 99, 7085 C3 5010, 779 4962, 477 100, 1153 L3 5009, 371 4991, 577 99, 63327 C4 5015, 29 4976, 378 100, 3367 C3 5024, 924 4976, 676 100, 0703 C3 5015, 307 4976, 393 100, 2589 C3 5024, 68 4976, 314 100, 1173 C3 5024, 555 4976, 449 100, 1749 C3 5010, 987 4962, 412 99, 64939 L3 5008, 592 4991, 609 100, 2127 C4 5007, 868 4991, 521 99, 76345 C4 5025, 072 4976, 649 99, 70017 C3 5019, 82 4976, 425 100, 2551 C3 5024, 702 4976, 432 99, 72728 C3 5022, 49 4976, 336 100, 2277 C3 5011, 605 4962, 25 99, 52061 L3 5007, 4 4991, 571 100, 3239 C4 5007, 386 4991, 559 99, 84321 C4 5025, 639 4976, 676 99, 68156 C3 5022, 772 4976, 484 100, 2087 C3 5025, 331 4976, 517 99, 66176 C3 5019, 576 4976, 319 100, 2623 C3 4986, 153 4988, 394 99, 67671 L4 5000, 572 4990, 536 100, 3214 C4 5006, 512 4991, 427 100, 4139 C4 4985, 978 4988, 27 99, 64277 C4 5024, 603 4976, 628 100, 1634 C3 4986, 138 4988, 483 99, 61942 C4 5015, 035 4976, 292 100, 2526 C3 4987, 024 4988, 605 99, 71327 L4 4996, 771 4990, 095 100, 4031 C4 5000, 592 4990, 546 100, 3551 C4 4986, 663 4988, 536 99, 64141 C4 5024, 647 4976, 732 99, 71787 C3 4986, 656 4988, 551 99, 63842 C4 4986, 271 4988, 791 99, 67481 C4 4987, 205 4988, 567 100, 1903 L4 4992, 491 4989, 461 100, 4304 C4 4996, 734 4990, 023 100, 422 C4 4986, 715 4988, 508 100, 2159 C4 5025, 302 4977, 013 99, 36231 C3 4986, 692 4988, 526 100, 1801 C4 4986, 706 4988, 612 99, 6912 C4 4989, 024 4988, 916 100, 3121 L4 4989, 238 4988, 934 100, 3167 C4 4992, 494 4989, 404 100, 4161 C4 4989, 23 4988, 826 100, 3228 C4 4985, 922 4988, 405 99, 64932 C4 4989, 037 4988, 941 100, 3153 C4 4986, 835 4988, 684 100, 1759 C4 4992, 249 4989, 468 100, 4333 L4 4987, 417 4988, 854 100, 1554 C4 4989, 295 4988, 862 100, 2721 C4 4992, 471 4989, 388 100, 443 C4 4986, 561 4988, 574 99, 66494 C4 4992, 23 4989, 459 100, 4276 C4 4989, 009 4988, 935 100, 3317 C4 4996, 462 4990, 091 100, 4116 L4 4987, 028 4988, 817 99, 66708 C4 4988, 816 4988, 712 100, 2024 C4 4996, 705 4989, 958 100, 4196 C4 4986, 721 4988, 584 100, 2032 C4 4996, 447 4990, 057 100, 4223 C4 4992, 229 4989, 434 100, 4323 C4 5000, 32 4990, 53 100, 3248 L4 5009, 294 4997, 093 99, 47349 C5 4988, 506 4988, 652 99, 7294 C4 5000, 569 4990, 456 100, 3464 C4 4989, 287 4988, 861 100, 332 C4 5000, 34 4990, 504 100, 352 C4 4996, 472 4990, 089 100, 4148 C4 5007, 14 4991, 55 100, 3493 L4 5008, 687 4997, 138 100, 1502 C5 4987, 408 4997, 464 99, 64042 C5 5007, 319 4991, 581 100, 3078 C4 4992, 489 4989, 398 100, 4399 C4 5007, 151 4991, 51 100, 3152 C4 5000, 323 4990, 54 100, 3544 C4 5008, 964 4991, 916 100, 2145 L4 5006, 915 4997, 34 100, 2891 C5 4987, 914 4997, 433 100, 222 C5 5009, 761 4992, 019 100, 1492 C4 4996, 679 4990, 014 100, 4035 C4 5009, 582 4991, 908 100, 2192 C4 5007, 126 4991, 563 100, 3151 C4 5009, 099 4991, 996 99, 8134 L4 5003, 401 4997, 452 100, 3436 C5 4990, 024 4997, 49 100, 3122 C5 5010, 021 4992, 151 99, 72318 C4 5000, 536 4990, 517 100, 3368 C4 5009, 655 4992, 057 99, 78248 C4 5009, 423 4991, 944 100, 239 C4 5010, 139 4991, 925 99, 68779 L4 4999, 205 4997, 474 100, 3796 C5 4992, 598 4997, 494 100, 3887 C5 5010, 61 4992, 339 99, 66969 C4 5007, 365 4991, 602 100, 3058 C4 5010, 36 4992, 271 99, 67342 C4 5009, 646 4991, 999 99, 80725 C4 4986, 207 4997, 249 99, 60484 L5 4996, 234 4997, 521 100, 4089 C5 4996, 174 4997, 512 100, 4053 C5 4985, 799 4997, 403 99, 755 C5 5009, 552 4992, 089 100, 2557 C4 4986, 085 4997, 459 99, 71037 C5 5010, 207 4992, 163 99, 7095 C4 4986, 89 4997, 399 99, 66603 L5 4992, 641 4997, 603 100, 3768 C5 4999, 121 4997, 4 100, 3746 C5 4986, 428 4997, 386 99, 75572 C5 5010, 004 4992, 242 99, 72738 C4 4986, 54 4997, 588 99, 75554 C5 4986, 256 4997, 464 99, 69406 C5 4987, 042 4997, 401 100, 091 L5 4990, 039 4997, 571 100, 3115 C5 5003, 373 4997, 478 100, 3675 C5 4986, 532 4997, 52 100, 0611 C5 5010, 396 4992, 3 99, 67227 C4 4986, 572 4997, 572 100, 0532 C5 4986, 572 4997, 534 99, 71439 C5 4989, 754 4997, 553 100, 2939 L5 4987, 205 4997, 573 100, 1209 C5 5006, 838 4997, 327 100, 2917 C5 4989, 985 4997, 531 100, 3107 C5 4985, 883 4997, 477 99, 73326 C5 4989, 738 4997, 584 100, 3033 C5 4986, 771 4997, 525 100, 0797 C5 4992, 322 4997, 58 100, 3796 L5 4986, 681 4997, 556 99, 64038 C5 5007, 9 4997, 365 100, 2176 C5 4992, 565 4997, 576 100, 3842 C5 4986, 395 4997, 497 99, 79731 C5 4992, 369 4997, 596 100, 3753 C5 4989, 793 4997, 548 100, 3227 C5 4995, 965 4997, 546 100, 4079 L5 5015, 057 5009, 9 99, 59492 C6 5008, 269 4997, 339 99, 69736 C5 4996, 1 4997, 472 100, 3986 C5 4986, 486 4997, 511 100, 0326 C5 4995, 949 4997, 589 100, 4219 C5 4992, 381 4997, 599 100, 3889 C5 4998, 916 4997, 508 100, 3768 L5 5014, 4 5009, 989 100, 1167 C6 4985, 019 5015, 424 99, 71367 C6 4999, 077 4997, 385 100, 3783 C5 4989, 968 4997, 521 100, 3106 C5 4998, 917 4997, 506 100, 4001 C5 4995, 949 4997, 605 100, 4201 C5 5003, 16 4997, 494 100, 3543 L5 5012, 491 5010, 198 100, 2025 C6 4985, 374 5015, 386 100, 2412 C6 5003, 418 4997, 459 100, 3455 C5 4992, 56 4997, 544 100, 3841 C5 5003, 239 4997, 438 100, 3521 C5 4998, 9 4997, 537 100, 4028 C5 5006, 64 4997, 354 100, 2832 L5 5007, 342 5011, 243 100, 2825 C6 4985, 958 5015, 299 100, 284 C6 5006, 853 4997, 281 100, 3033 C5 4996, 151 4997, 515 100, 3893 C5 5006, 715 4997, 282 100, 2942 C5 5003, 17 4997, 48 100, 352 C5 5009, 201 4997, 412 100, 1066 L5 5002, 215 5012, 228 100, 3468 C6 4988, 607 5014, 822 100, 336 C6 DOI: https://doi.org/ 10.30564/jgr.v2i1.405