An urban transportation system is crucial to a city's overall development. Having an effective transportation system is crucial to raising the standard of living in urban areas. Effective utilization is crucial due to the transportation network's enormous development costs. Reaching optimal utilization necessitates appropriate connectivity and orientation. Urbanization has led to massive population growth and related activities in many developing countries. Inadequate transportation options and associated travel problems are the result of this. Therefore, developing ways to increase the transport network's efficiency requires a parameter-based evaluation of the network. It involves determining the variables that affect travel as well as the instruments and methods for defining urban features including the land use and transportation system. Research gaps are determined using the literature review as a guide. By recognizing the influences of land use on networks, networks on land use, networks on travel, and once again, networks on travel, the current study offers a paradigm for developing urban transportation networks. Information about land use, zonal boundaries, and the road network was gathered from the appropriate organizations. GIS was used to convert these to digital format.

1. MVR COLLEGE OF ENGINEERING AND TECHNOLOGY
(Affiliated to JNTU, Kakinada Approved by A.I.C.T.E., New Delhi)
Title: STUDY OF INFLUENCE TOWARDS ON TRANSPORT
NETWORK AND USAGE OF LAND IN URBAN AREAS
Presenting Author by
1
Under the Guidance of
B. KRISHNA NAIK
Assistant Professor
DEPARTMENT OF CIVIL ENGINEERING

2. 2
Abstract
An urban transportation system is crucial to a city's overall development. Having an effective transportation
system is crucial to raising the standard of living in urban areas. Effective utilization is crucial due to the
transportation network's enormous development costs. Reaching optimal utilization necessitates appropriate
connectivity and orientation. Urbanization has led to massive population growth and related activities in many
developing countries. Inadequate transportation options and associated travel problems are the result of this.
Therefore, developing ways to increase the transport network's efficiency requires a parameter-based
evaluation of the network. It involves determining the variables that affect travel as well as the instruments
and methods for defining urban features including the land use and transportation system. Research gaps are
determined using the literature review as a guide. By recognizing the influences of land use on networks,
networks on land use, networks on travel, and once again, networks on travel, the current study offers a
paradigm for developing urban transportation networks. Information about land use, zonal boundaries, and
the road network was gathered from the appropriate organizations. GIS was used to convert these to digital
format.

3. 3
Introduction
• Cities are populations of people with a variety of land uses and how those land uses interact with one
another for purposes including employment, education, shopping, and leisure.
• The cities must be correctly connected in order for the various land use activities to operate as intended.
• The linkages made possible by the transport network enable quick and simple mobility between different
urban activity places.
Fig. 1.1 Interaction of transport network and land use on travel

4. 4
Introduction
• Urban planning terminology includes phrases like urban shape, urban structure, and spatial structure.
• Simply said, the built environment, type of land use, and transportation infrastructure are examples of a city's
physical characteristics that are indicated by the urban form.
• Urban form can be defined more broadly to include both physical and non-physical elements (such as
density, scale, and layout).
• The urban structure outlines the dominant land use activities and functions within a city in the context of
transportation planning.
• The urban structure is well recognized to play a part in lowering travel demand.
• More transportation infrastructure may be required if the built environment is altered, for example, by
making the land more compact or altering the land use mix.
• Thus, the pattern of land use has a significant influence on the growth and structure of networks.

5. 5
Introduction
Fig. 1.2a Traditional framework highlighting Fig. 1.2b Modified relation the
influence of urban factors on travel including transport network

6. 6
Introduction
Fig. 1.3 Inter-relationship between transport network, land use and travel

7. 7
Objectives
• To examine transport network patterns using a range of criteria.
• To ascertain the connections between different transport network parameters.

8. 8
Literature Review
Fig. 2.1 Sample networks showing connectivity
Fig. 2.2 Illustration of euclidean distance
and network distance Source

9. 9
Literature Review
• A sophisticated technology that can store and handle spatial data is the Geographic Information System
(GIS).
• The system has the ability to apply, operate, and analyze data using statistical techniques.
• It can convey information and illustrate concepts because of its analytical and cartographic capabilities.
• GIS is a useful system because of its easy-to-use visual access and display features and its capacity for
spatial analysis.
• The real-world system's characteristics are kept in multiple layers, and it may locate a feature by using its
attribute.
• Users can create interactive queries with this system, which makes it possible to quickly determine the
location of different facilities.
• As a result, GIS has been extensively utilized to gather information about the land use and transportation
networks as well as to assess these indices.

10. 10
Network Pattern Analysis
• An arrangement of lines or forms that are repeated at regular intervals is referred to as a pattern.
• Grid patterns, hexagonal patterns, hub and spoke patterns, radial patterns, radial and circular patterns,
radial and grid patterns, and tree patterns are a few examples of regular network patterns.

11. 11
Network Pattern Analysis
Fig. 3.1 Road network patterns

12. 12
Methodology
• Based on an examination of the transport network's influencing variables for travel, its concepts, and
land use, a thorough assessment of the literature was conducted.
• Characterizing the common network patterns according to different network characteristics was part of
the first investigation. It is determined which network pattern works best for achieving better network
performance.
• At this moment, identifying the study area is yet exclusive.
• Next, information about land use, travel, and the transportation network is gathered from the resources
that are accessible. GIS is used to digitize the land use and transportation network.

13. 13
Methodology
• Based on the network parameters determined in the third phase, the transport network has been analyzed in
the next phase.
• In order to assess the standard of the network that predominates in the area, this involved analyzing the
road network patterns unique to the research area. Additionally, the relationship between fractal dimension,
coverage, and connectivity—three fundamental network parameters—has been studied.
• The next stage involves the creation of the models. There are three steps involved in developing the model.
• Models analyzing how land use affects the transportation network and how the network affects land use are
created in the first phase. In the following step, analytical models are used to investigate how network
design describes travel and, lastly, how land use influences movement. A foundation for organizing and
creating sustainable cities will be provided by analyzing the transportation system in light of present land
use and traffic patterns.

14. 14
Methodology
Fig. 4.1 New states of Andhra Pradesh

15. 15
Methodology
Fig. 4.2 Old states of Andhra Pradesh

16. 16
References
1. Barrington-Leigh, C., and Millard-Ball. A. (2015). “A century of sprawl in theUnited States.” Proc. Natl.
Acad. Sci., 112 (27), 8244-8249.
2. Giacomin, D. J., and Levinson, D. M. (2015). “Road Network Circuity in Metropolitan Areas.”
Environment and Planning B: Planning and Design, 42(6),1040-1053.
3. M. G. Sreelekha, K. Krishnamurthy and M. V. L. R. Anjaneyulu (2015). “Interactionbetween Road
Network and Spatial Pattern.” Emerging trends in Engineering Science and Technology, (ICETEST),
December 9-11.
4. M. G. Sreelekha, K. Krishnamurthy and M. V. L. R. Anjaneyulu (2016). “Accessibility: An Indicator of
Transportation Performance.” National Conference on Emerging Trends in Civil Engineering, December
7-10.
5. Kasraian, D., Maat, K., Stead, D., and van Wee, B. (2016). “Long-term impacts oftransport infrastructure
networks on land use change: an international review of empirical studies.” Transport Reviews, 36(6),
772-792.

17. 17
References
6. Samak, Y. A. A. (2016). “Benefits for the Population of Assiut City of an Efficient and Sustainable
Transport Network: A Study Using Graph Theory andGIS.” American Journal of Geographic Information
System, 5(2), 40-54.
7. Zhao, F., Sun, H., Wu, J., Gao, Z., and Liu, R. (2016). “Analysis of road networkpattern considering
population distribution and central business district.” PLoS ONE, 11(3).
8. M. G. Sreelekha, K. Krishnamurthy and M. V. L. R. Anjaneyulu (2017). “Fractal Assessment of Road
Transport System.” European Transport, Issue 65, paper no. 5, ISSN, 1825-3997, 2017.
9. Saha, M., Sarkar, P. P., and Pal, J. (2017). “A micro-analysis of accessibility andtravel behaviour of a small
sized Indian city: A Case Study of Agartala.” International Journal of Engineering and Technology
(IJET), 6(8), 8-10.
10. Wang, X., Shao, C., Yin, C., and Zhuge, C. (2018). “Exploring the influence ofbuilt environment on car
ownership and use with a spatial multilevel model: A casestudy of Changchun, China.” Int. J. Environ.
Res. Public Health, 15, 1868.
11. Boeing, G. (2018). “A multi-scale analysis of 27,000 urban street networks: EveryUS city, town,
urbanized area, and zillow neighborhood.” Environment and Planning B: Urban Analytics and City
Science.

18. 18
References
12. Haozhi P, Brian D, Yan C and Geoffrey, H (2018). “A Reassessment of urban structure and land use
patterns: distance to CBD or network-based? - Evidence from Chicago.” Regional Science and Urban
Economics, Elsevier, vol. 70(C), pages 215-228.
13. Boeing, G. (2019). “The morphology and circuity of walkable and drivable streetnetworks.” In: The
Mathematics of Urban Morphology, edited by L. D’Acci. Basel, Switzerland: Birkhauser.
14. Sahitya, K. S. and Prasad, C. S. R. K. (2020). “Modelling structural interdependent parameters of an
urban road network using GIS.” Spat. Inf. Res. 28,327–334.
15. M. G. Sreelekha, K. Krishnamurthy and M. V. L. R. Anjaneyulu (2020). “Urban Road Network and its
Topology: Case Study of Calicut, India.” European Transport,Issue 78, paper no. 6, ISSN, 1825-3997.

19. 19
Thank You….