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Gil, O. 2017. “Green Areas” PRONATUR Conference. Hosted by the UPM School, Madrid, Spain 27th March 2017
Scope
Definitions
Theory &
Framework
Hipothesis
Model
Cases
Findings
Challenges
Annex I, II
Index
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
2
Scope
Definitions
Theory &
framework
Hipothesys
Model
Cases
Findings
Challenges
3
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Theory Definitions of smart cities under three traditions:
1)  human capital 2) technology and 3) digital literacy.
Normative question I: What are the skills that people and
communities shall have to be digitally literate in the XXI century?
Empirically What makes a city smart?
Normative question II: Differences in the definition of smart in cities
are important translated into differences on which stakeholders
are allowed to innovate locally, we founded
More on definitions: www.slideshare.net/olga.gil/smart-cities-euraconference2013/6
Scope
Definitions
Theory &
framework
Hipothesis
Model
Shanghai
Findings
Challenges
4
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Smart	places	
•  Combine	the	best	of	physical	and	virtual	worlds.	
Physical	spaces	retain	relevance	(Deaking,	Al	Waer	
2011)	
•  Presence	of	a	creaDve	class	(Andrea	Caragliu	et	al	
2011,	Richard	Florida	2002,	2005)	
•  The	“three	layers”:	Physical	space,	with	
aglomeraDon	of	people,	innovaDve	clusters	2)	
insDtuDonal	innovaDon	mechanisms	and	policies	for	
technology	transfer	3)	collaboraDve	spaces	
(Komninos	2009)	
Definition: What makes a city smart?
5	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Model and the variables
	
Scope
Definitions
Theory & framework
Hipothesis
Model
Cases
Findings
Challenges
Testing
eight
variables
Unwraping the variables in the study: See Annexes
5
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Hypothesis Factors to advance smart
plans are key to differentiate models of
urban governance
Comparative perspective includes Asian, American and
European cases
Why? Choice of cases driven by an interest to learn from
innovation practices in different world institutional settings and
the errors in each local setting
In the work we are developing from 2013 we have already
covered eight cases
Shanghai, cities in Japan, Iskandar, New York, Amsterdam,
and three cities in Spain Málaga, Santander and Tarragona
Scope
Definitions
Theory & framework
Hypothesis
Model
Amsterdam
Findings
Challenges
6
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Hypothesis and cases
	
Hypothesis:	Factors	to	advance	smart	plans	are	key	to	
differen8ate	models	of	urban	governance	
Choice	of	cases:	Driven	by	interest	(China,	Japan,	
Iskandar	(Malaysia),	New	York,	Tarragona	(Spain).		
•  To	learn	from	innovaDon	pracDces	in	different	world	
insDtuDonal	seTngs	
•  Different	innovaDon	rates		(R&D	in	China	+	17	%,	USA	5,2	%,	
Europe	3,8	%)	
•  Aempt	to	tackle	differences	and	similariDes	in	both	OCDE	
and	non	OCDE	countries	
•  Interested	in	variaDons	in	the	universe	of	cases		
8	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Urban Annual Growth Rate % shows converging trend
7
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
World Context: Smart cities and green spaces (mostly lacking) in the
world agenda
An	interest	in	China	in	city	development	far	from	the	growth	
model	(Lin	2002)	
OCDE	and	European	Union	link	the	concept	of	sustainable	
environment,	compeDDon	and	cohesion	with	smart	ciDes	
(2005)	
City	ini8a8ves:	Amsterdam,	Southamton,	Edimburgh,	Malta,	
Philadelphia,	Seale,	Quebec,	Mexico	city…	
Business	ini8a8ves:	IBM,	Siemens,	Oracle	
European	Union	research	and	policy	projects:	IntelciDes,	
INTERREG		
10	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Results
Global
Picture
Scope
Definitions
Theory & framework
Hipothesis
Model
Shanghai
Findings
Challenges
8
9
Scope
Definitions
Theory & framework
Hipothesys
Model
The Case of Shanghai
Findings
Challenges
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
4. Cases for analysis: China
	
People	and	communi8es	
•  Incorporated	through	the	poliDcal	party	
•  Liu	and	Peng	(2013)	suggest	the	importance	of	talented	persons,	
professionals,	educaDon	and	training,	they	suggest	to	build	a	high-end	
talent	plaeorm	with	university	and	scienDfic	insDtutes,	cooperaDon	with	
colleges,	local	industries,	vocaDonal	training	schools…	
	
Natural	environment	
•  Focus	on	the	smart	grid	to	transport	energy	to	coastal	ciDes	in	the	east		
	
		
13	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
4. Cases for analysis: Iskandar
Policy	context	
•  Iskandar	Regional	Development	Authority	(IRDA)	established	by	a	Federal	
Act	of	Parliament	(2007)	“provide	a	livable	and	sustainable	conurbaDon.”	
•  Iskandar	is	placed	as	a	development	area	where	a	main	focus	is	aracDng	
internaDonal	capital	($30	bn	plan	expecDng	1/3	from	abroad)	
People	and	communi8es	
•  Addressed	from	the	point	of	view	of	educaDon	and	top-down.	
•  Ellis	Rubinstein,	president	of	New	York	Academy	of	Sciences	appointed	to	
work	on	Iskandar	university	campus	area	with	the	mandate	to	make	it	a	
reference	and	to	accommodate	necessiDes	of	fast	rising	populaDons.	
•  Support	from	the	cultural	industry	brings	Pinewood	Studios	to	Iskandar	
and	Legoland	has	placed	a	theme	park		
14	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
4. Cases for analysis: Iskandar
	
Not	found	strategies	of	master	planning	for	design	codes,	rooted	
parDcipatory	democracy	or	electronic	media	as	tool	to	extent	the	
democraDc	debate.	
	
IntroducDon	of	carbon	credits	–However,	policies	to	reduce	C02	have	not	
been	contemplated	in	Iskandar	or	Malaysia.	
Public	transit	system	rather	than	more	roads	to	improve	easier	movement.	
	
		
15	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
4. Cases for analysis: Japan
	
Based	on	four	on-going	locaDon	experiments	(2010-2014	in	four	city	wide	
corridors)	
	
“social	infrastructures,	involving	electricity	-energy-,	water,	buildings,	
transportaDon,	communicaDons,	administraDve	services	and	other	elements,	
are	“indispensable	factors	for	ensuring	that	the	lifestyles	of	the	people	and	
businesses	can	be	supported.” 	
	
Includes	evaluaDon	of	the	projects	as	part	of	the	process	towards	smart	
goals:	sub-projects	carried	within	the	selected	ciDes	are	later	supervised	by	
the	Community	Energy	Management	System	(CEMS),	in	charge	of	verificaDon	
and	evaluaDon.		
	
		
16	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
4. Cases for analysis: Japan
People	and	communi8es	
Experiments	include	residents	as	acDve	parts	(menDoning	residents	
especifically):	
	“Smart	ci)es	are	not	something	that	should	be	tackled	by	just	governments	and	
corpora)ons	and	presented	to	residents.	The	general	public	must	also	be	ac)vely	
involved	in	sharing	their	own	ideas	and	helping	to	formulate	the	ci)es	by	throwing	
their	own	wisdom	into	the	pot.	“		
4.5.	Natural	environment	
•  Natural	environment	as	key	driver.	The	origin	of	the	smart	city	projects	in	
Japan	is	the	aoermath	of	the	Great	East	Japan	Earthquake	on	March	11,	
2011,	and	the	subsequent	nuclear	power	plant	accident.	
•  Facing	urbanizaDon	is	an	enormous	issue	for	Japan,	with	agricultural	land	
being	converted	into	urbanized	areas	at	the	same	pace	as	the	rapid	
growth	of	developing	naDons.		
17	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
4. Cases for analysis: NY
	University	Project	on	smart	ci8es.	Dr.	Steven	E.	Koonin,	former	under	
secretary	for	science	in	the	Department	of	Energy	in	the	Obama	
administraDon	heads	the	research	agenda	in	New	York	University’s
	Center	for	Urban	Science	and	Progress	on	smart	ciDes.			
The	approach	defined	at	NYU	“from	sensors	to	sociologists,	and	science	with	
a	social	dimension”	
A	second	smart	project	is	developed	from	the	city	hall,	focusing	on	smart	
data.		
•  For	the	local	government	technology	goes	hand	in	hand	with	the	use	of	data	to	guide	operaDons.	In	2010,	
the	city	set	up	a	team	of	data	scienDsts	for	special	projects	in	the	Mayor’s	office.	The	city	government	has	
commied	to	giving	the	N.Y.U.	center	access	to	all	its	public	data.		
•  Digital	strategy	focused	on	access	to	technology,	open	government,	engagement	and	industry	in	New	York	
City.		
•  Local	government	CIO	Rachel	Haot:	“open	government	is	important	for	the	local	government	because	if	
the	data	and	the	internal	structure	and	prioriDes	aren’t	completely	open	“we’re	not	going	to	be	able	to	
enable	increased	[open]	services,	“we	need	to	be	constantly	gathering	feedback	from	the	public,	
informing	and	serving.	And	access	is	the	founda8on	because	everyone	needs	access	to	these	
technologies.”	(Howard	2011).	
	 18	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
4. Cases for analysis: NY
People	and	communi8es	
Experiments	with	data	driven	approaches	in	governance	include:	
ciDzensourcing	smarter	government,	aimed	at	creaDng	plaeorms	for	ciDzens	to	
collaborate	around	informaDon	to	improve	outcomes,	parDcipatory	budgeDng		and	
“broader	future	as	a	data	plaeorm.” 	
	
New	York	City	government	data	repository,	the	NYC	DataMine.		And	moves	toward	
making	more	useful	public	data	available	(geocoding,	performance	and	regulatory	
data.	Recently,	online	311	service	request	map…)		
	
The	local	government	working	to	grow	the	community	of	civic	entrepreneurs	and	
developers	fostering	a	Big	Apps	program	and	an	contests	known	as	NYC	Big	Apps		
Natural	environment	
Joint	programms	with	the	university	regarding	water	consumpDon,	electricity,	
computer	simulaDons	and	climate	models	for	weather	predicDon.		
19	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Cases for analysis: Tarragona
Management,	organiza8on		
•  A	FoundaDon	has	been	set	up	to	follow	up	the	smart	city	plan.		
•  The	smart	city	projects	presented	in	April	2013	are	influenced	by	Richard	
Florida´s	concepts	of	thriving	ciDes:	based	on	talent,	technology	and	
tolerance.	It	also	brings	in	the	ideas	of	entrepreneurial	spirit	and	
collaboraDve	organizaDons.	The	values	underlying	the	projects	are	
consensus	and	intelligence	“that	would	be	defined	by	universiDes,	firms,	
public	administraDon,	and	ciDzenship.”	Values	are	aimed	at	ciDzen´s	
welfare,	wellbeing,	and	social	cohesion.		
•  Plans	under	the	umbrella	of	a	FoundaDon,	include	the	parDcipaDon	the	
public	university	and	firms	in	the	energy,	water,	health,	mobility,	digital	
contents	and	tourism	industries.		
•  The	Tarragona	smart	city	project	is	designed	with	the	policy	context	of	the	
Mediterranean	Sports	Games	in	mind.	The	games	will	be	held	in	2017:	
Mediterranean	region	as	and	space	with	emerging	opportuniDes,	linked	to	
the	development	of	the	northern	Africa	region	and	the	importance	of	the	
sea	port,	the	fourth	in	importance	in	Spain.		 20	
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
4. Cases for analysis: Tarragona
People	and	community	are	addressed	in	Tarragona	
•  Favoring	the	creaDon	of	a	market	for	open	innovaDon	in	sooware,	with	
the	partnership	of	Innoget,	a	project	based	on	adverDsing	as	a	business	
model.		
•  EducaDve	project	“smart	phones	for	smart	people”	to	teach	how	to	use	
smart	phones	in	the	civic	centers	in	order	to	target	the	digital	divide	
•  Plans	to	install	Video	Wii	games	in	nine	civic	centers	to	engage	ciDzens	on	
physical	exercise	and	community	entertainment.		
		
21	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Cases for analysis: Tarragona
Built	infrastructure	and	natural	environment		
•  Thermal	isolaDon	pilot	in	school	with	BASF	technology	Termabead	to	
measure	the	resulDng	energy	savings.	
•  Environmental	impact	of	public	transportaDon,	to	be	carried	out	by	the	
Chemical	and	Tech	Center	of	Catalonia,	funded	by	Repsol.	
•  Pilot	on	the	use	of	biofuels	produced	by	seaweed,	a	research	project	
applicaDon	from	Repsol	laboratories.	
•  Smart	metering	for	water	in	neighborhoods	and	public	swimming	pools,	
with	AGBAR,	EMATSA	and	AQUALOGY	–expecDng	the	results	of	a	
compeDDve	project	from	the	European	Union	on	telemetry.	
•  New	asphalt	installed	in	zones	of	intensive	use	by	heavy	industrial	
vehicles.	The	properDes	allow	capturing	contaminated	diesel	parDcles,	
beer	water	absorpDon,	and	fissure	self	repair.	
•  Water	quality	control	of	beaches	in	Tarragona	accessible	through	mobile	
phone	and	tablets	apps.	
22	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Analysis and Findings
Interes8ng	similari8es	and	differences	among	cases:	
Absence	of	the	green	city	dimension	in	most	of	the	
projects	except	Amsterdam,	Japanese	ci8es,	China	
	
MulD	faceted	sides	of	the	smart	concept	locally,	shaped	
by	naDonal	and/or	local	governments.		
	
What	smarts	entails	is	very	different	and	open	to	
policy	conceptualizaDon	--in	some	cases,	open	to	
society	engagement,	specially	in	Amsterdam.	
	 23	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
5. Analysis and Findings
People	and	Communi8es	frameworks	to	develop	smart	ci8es	and	
policies	involving	ci8zens.		
3.			Prototype	and	test	of	the	prototype.	The	living	lab	approach,	tesDng	it	
with	actual	ciDzens	and	consumers	in	a	real	world	environment	allows	
for	more	insights		
–  Gathering	ciDzen	feedback	entails	that	ciDzens,	using	the	prototype,	provide	feedback	
about	their	experience	using	the	service,	and	their	feedback	should	be	taken	into	
account	for	next	iteraDons	of	the	proposed	soluDon.	This	feedback	should	then	be	used	
to	improve	the	service.	
–  repeat	the	last	three	steps	in	order	to	improve	the	proposed	soluDon	based	on	feedback	
received	from	potenDal	users-	It	allows	for	improvements	based	on	actual	usage	by	
ciDzens.		
4.	To	drive	the	process,	an	innova8on	team	needs	to	be	established.	
Examples	of	similar	frameworks:	at	the	naDonal	level,	the	government	
innovaDon	labs	Nesta	in	the	United	Kingdom;		At	local	level,	urban	living	
labs	such	as	Forum	Virium	in	Helsinki.			
–  hp://www.ideo.com/	
–  hp://www.nesta.org.uk/	
–  hp://www.forumvirium.fi/en	
	 24	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
“smartness as a vision to respond to local governance
challenges”
Generally: Significant role that local
governments play in cities
Shanghai: Giant developing infrastructure
and global influence
Malaysia: Getting a place in the geo-regional
area
Japan and Amsterdam: Facing energy
constraints with innovation
New York: Innovation for civic engagement
Spain: Opportunities for economic
reactivation?
	
	
Scope
Definitions
Theory & framework
Hipothesis
Model
Shanghai
Findings
Challenges
12
Concluding remarks
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
•  Limited scope for people and
communities
•  Innovation framed whithin the scope of
prefered stakeholders
•  Evaluation is key, and we find few cities
doing it. Shanghai and cities in Japan
do it
Scope
Definitions
Theory & framework
Hipothesys
Model
Shanghai
Findings
Challenges
Concluding remarks
14
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Analysis and Findings
People	and	Communi8es	frameworks	to	develop	smart	ci8es	and	
policies	involving	ci8zens.		
These	innovaDve	frameworks	(Nesta,	Forumvirium…)	are	
insDtuDons	that	have	ingrained	the	values	of	parDcipaDon.	They	share	a	
culture	of	:	
-  rapid	prototyping		
-  and	fail	safe	environments	where	the	tesDng	and	prototyping	of	new	
ideas	is	allowed:	“in	fact,	it	is	failure	during	the	early	stages	of	
prototyping	what	allows	for	a	beer	outcome,	in	collaboraDon	with	
early	adopters	that	provide	useful	and	meaningful	feedback”	(2013).		
These	kind	of	teams	are	well	prepared	to	be	constantly	looking	for	ciDzen	
service	delivery	gaps	and	propose	soluDons	that	are	co-designed	with	
ciDzens	through	feedback	in	iteraDve	processes.	
		
Other	factors	for	further	research	for	people	and	communi8es	include	digital	divides,	
educaDon,	parDcipaDon	and	partnership,	informaDon	and	community	
gatekeepers,	communicaDon,	quality	of	life	and	accessibility.	
	
27	
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Analysis and Findings
Natural	environment	
•  Concerns	present	in	all	the	cases	explored.		
•  Japan	did	set	up	the	smart	pilots	in	the	aoermath	of	the	
nuclear	accidents.		
•  China	faces	severe	environmental	concerns.	Malaysia	is	also	
aware	in	Iskandar.		
•  New	York	has		suffered	severe	impact	of	climate	change	in	
november	2012.		
•  Tarragona	is	also	concerned.	
We	find	this	field	as	one	posing	the	biggest	challenges	at	a	
global	level.	Would	local	policies	be	enough	to	tackle	this	
challenge?	
No	homogeneous	path	towards	a	smart	goal.	
Goals	defined	in	smart	plans	and	factors	men)oned	above	play	a	cri)cal	role	
in	differences	among	the	cases	 28	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
23
Thank you for
your attention
and discussion
Powerpoint will be available
for download at:
Slideshare Olga Gil
謝謝
15
Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Scope
Definitions
Theory &
Framework
Hipothesis
Model
Cases
Findings
Challenges
Annex I, II
Index
16
Annex I
Variables in detail
Annex I
Detailed work
Variables in the study
31	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Variables in the study
32	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Variables in the study
33	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
Variables in the study
34	Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga

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Green Areas in Smart Cities. Ideas. Facts. Definition. Olga Gil

  • 1. Scientific paper associated to this presentation may be found in Academia for download https://uam.academia.edu/OlgaGil 1 Using ideas and/or graphics from this presentation? Please quote as follows: Gil, O. 2017. “Green Areas” PRONATUR Conference. Hosted by the UPM School, Madrid, Spain 27th March 2017
  • 2. Scope Definitions Theory & Framework Hipothesis Model Cases Findings Challenges Annex I, II Index Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga 2
  • 3. Scope Definitions Theory & framework Hipothesys Model Cases Findings Challenges 3 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 4. Theory Definitions of smart cities under three traditions: 1)  human capital 2) technology and 3) digital literacy. Normative question I: What are the skills that people and communities shall have to be digitally literate in the XXI century? Empirically What makes a city smart? Normative question II: Differences in the definition of smart in cities are important translated into differences on which stakeholders are allowed to innovate locally, we founded More on definitions: www.slideshare.net/olga.gil/smart-cities-euraconference2013/6 Scope Definitions Theory & framework Hipothesis Model Shanghai Findings Challenges 4 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 5. Smart places •  Combine the best of physical and virtual worlds. Physical spaces retain relevance (Deaking, Al Waer 2011) •  Presence of a creaDve class (Andrea Caragliu et al 2011, Richard Florida 2002, 2005) •  The “three layers”: Physical space, with aglomeraDon of people, innovaDve clusters 2) insDtuDonal innovaDon mechanisms and policies for technology transfer 3) collaboraDve spaces (Komninos 2009) Definition: What makes a city smart? 5 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 6. Model and the variables Scope Definitions Theory & framework Hipothesis Model Cases Findings Challenges Testing eight variables Unwraping the variables in the study: See Annexes 5 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 7. Hypothesis Factors to advance smart plans are key to differentiate models of urban governance Comparative perspective includes Asian, American and European cases Why? Choice of cases driven by an interest to learn from innovation practices in different world institutional settings and the errors in each local setting In the work we are developing from 2013 we have already covered eight cases Shanghai, cities in Japan, Iskandar, New York, Amsterdam, and three cities in Spain Málaga, Santander and Tarragona Scope Definitions Theory & framework Hypothesis Model Amsterdam Findings Challenges 6 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 8. Hypothesis and cases Hypothesis: Factors to advance smart plans are key to differen8ate models of urban governance Choice of cases: Driven by interest (China, Japan, Iskandar (Malaysia), New York, Tarragona (Spain). •  To learn from innovaDon pracDces in different world insDtuDonal seTngs •  Different innovaDon rates (R&D in China + 17 %, USA 5,2 %, Europe 3,8 %) •  Aempt to tackle differences and similariDes in both OCDE and non OCDE countries •  Interested in variaDons in the universe of cases 8 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 9. Urban Annual Growth Rate % shows converging trend 7 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 10. World Context: Smart cities and green spaces (mostly lacking) in the world agenda An interest in China in city development far from the growth model (Lin 2002) OCDE and European Union link the concept of sustainable environment, compeDDon and cohesion with smart ciDes (2005) City ini8a8ves: Amsterdam, Southamton, Edimburgh, Malta, Philadelphia, Seale, Quebec, Mexico city… Business ini8a8ves: IBM, Siemens, Oracle European Union research and policy projects: IntelciDes, INTERREG 10 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 12. 9 Scope Definitions Theory & framework Hipothesys Model The Case of Shanghai Findings Challenges Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 13. 4. Cases for analysis: China People and communi8es •  Incorporated through the poliDcal party •  Liu and Peng (2013) suggest the importance of talented persons, professionals, educaDon and training, they suggest to build a high-end talent plaeorm with university and scienDfic insDtutes, cooperaDon with colleges, local industries, vocaDonal training schools… Natural environment •  Focus on the smart grid to transport energy to coastal ciDes in the east 13 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 14. 4. Cases for analysis: Iskandar Policy context •  Iskandar Regional Development Authority (IRDA) established by a Federal Act of Parliament (2007) “provide a livable and sustainable conurbaDon.” •  Iskandar is placed as a development area where a main focus is aracDng internaDonal capital ($30 bn plan expecDng 1/3 from abroad) People and communi8es •  Addressed from the point of view of educaDon and top-down. •  Ellis Rubinstein, president of New York Academy of Sciences appointed to work on Iskandar university campus area with the mandate to make it a reference and to accommodate necessiDes of fast rising populaDons. •  Support from the cultural industry brings Pinewood Studios to Iskandar and Legoland has placed a theme park 14 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 15. 4. Cases for analysis: Iskandar Not found strategies of master planning for design codes, rooted parDcipatory democracy or electronic media as tool to extent the democraDc debate. IntroducDon of carbon credits –However, policies to reduce C02 have not been contemplated in Iskandar or Malaysia. Public transit system rather than more roads to improve easier movement. 15 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 16. 4. Cases for analysis: Japan Based on four on-going locaDon experiments (2010-2014 in four city wide corridors) “social infrastructures, involving electricity -energy-, water, buildings, transportaDon, communicaDons, administraDve services and other elements, are “indispensable factors for ensuring that the lifestyles of the people and businesses can be supported.” Includes evaluaDon of the projects as part of the process towards smart goals: sub-projects carried within the selected ciDes are later supervised by the Community Energy Management System (CEMS), in charge of verificaDon and evaluaDon. 16 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 17. 4. Cases for analysis: Japan People and communi8es Experiments include residents as acDve parts (menDoning residents especifically): “Smart ci)es are not something that should be tackled by just governments and corpora)ons and presented to residents. The general public must also be ac)vely involved in sharing their own ideas and helping to formulate the ci)es by throwing their own wisdom into the pot. “ 4.5. Natural environment •  Natural environment as key driver. The origin of the smart city projects in Japan is the aoermath of the Great East Japan Earthquake on March 11, 2011, and the subsequent nuclear power plant accident. •  Facing urbanizaDon is an enormous issue for Japan, with agricultural land being converted into urbanized areas at the same pace as the rapid growth of developing naDons. 17 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 18. 4. Cases for analysis: NY University Project on smart ci8es. Dr. Steven E. Koonin, former under secretary for science in the Department of Energy in the Obama administraDon heads the research agenda in New York University’s Center for Urban Science and Progress on smart ciDes. The approach defined at NYU “from sensors to sociologists, and science with a social dimension” A second smart project is developed from the city hall, focusing on smart data. •  For the local government technology goes hand in hand with the use of data to guide operaDons. In 2010, the city set up a team of data scienDsts for special projects in the Mayor’s office. The city government has commied to giving the N.Y.U. center access to all its public data. •  Digital strategy focused on access to technology, open government, engagement and industry in New York City. •  Local government CIO Rachel Haot: “open government is important for the local government because if the data and the internal structure and prioriDes aren’t completely open “we’re not going to be able to enable increased [open] services, “we need to be constantly gathering feedback from the public, informing and serving. And access is the founda8on because everyone needs access to these technologies.” (Howard 2011). 18 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 19. 4. Cases for analysis: NY People and communi8es Experiments with data driven approaches in governance include: ciDzensourcing smarter government, aimed at creaDng plaeorms for ciDzens to collaborate around informaDon to improve outcomes, parDcipatory budgeDng and “broader future as a data plaeorm.” New York City government data repository, the NYC DataMine. And moves toward making more useful public data available (geocoding, performance and regulatory data. Recently, online 311 service request map…) The local government working to grow the community of civic entrepreneurs and developers fostering a Big Apps program and an contests known as NYC Big Apps Natural environment Joint programms with the university regarding water consumpDon, electricity, computer simulaDons and climate models for weather predicDon. 19 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 20. Cases for analysis: Tarragona Management, organiza8on •  A FoundaDon has been set up to follow up the smart city plan. •  The smart city projects presented in April 2013 are influenced by Richard Florida´s concepts of thriving ciDes: based on talent, technology and tolerance. It also brings in the ideas of entrepreneurial spirit and collaboraDve organizaDons. The values underlying the projects are consensus and intelligence “that would be defined by universiDes, firms, public administraDon, and ciDzenship.” Values are aimed at ciDzen´s welfare, wellbeing, and social cohesion. •  Plans under the umbrella of a FoundaDon, include the parDcipaDon the public university and firms in the energy, water, health, mobility, digital contents and tourism industries. •  The Tarragona smart city project is designed with the policy context of the Mediterranean Sports Games in mind. The games will be held in 2017: Mediterranean region as and space with emerging opportuniDes, linked to the development of the northern Africa region and the importance of the sea port, the fourth in importance in Spain. 20 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 21. 4. Cases for analysis: Tarragona People and community are addressed in Tarragona •  Favoring the creaDon of a market for open innovaDon in sooware, with the partnership of Innoget, a project based on adverDsing as a business model. •  EducaDve project “smart phones for smart people” to teach how to use smart phones in the civic centers in order to target the digital divide •  Plans to install Video Wii games in nine civic centers to engage ciDzens on physical exercise and community entertainment. 21 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 22. Cases for analysis: Tarragona Built infrastructure and natural environment •  Thermal isolaDon pilot in school with BASF technology Termabead to measure the resulDng energy savings. •  Environmental impact of public transportaDon, to be carried out by the Chemical and Tech Center of Catalonia, funded by Repsol. •  Pilot on the use of biofuels produced by seaweed, a research project applicaDon from Repsol laboratories. •  Smart metering for water in neighborhoods and public swimming pools, with AGBAR, EMATSA and AQUALOGY –expecDng the results of a compeDDve project from the European Union on telemetry. •  New asphalt installed in zones of intensive use by heavy industrial vehicles. The properDes allow capturing contaminated diesel parDcles, beer water absorpDon, and fissure self repair. •  Water quality control of beaches in Tarragona accessible through mobile phone and tablets apps. 22 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 24. 5. Analysis and Findings People and Communi8es frameworks to develop smart ci8es and policies involving ci8zens. 3. Prototype and test of the prototype. The living lab approach, tesDng it with actual ciDzens and consumers in a real world environment allows for more insights –  Gathering ciDzen feedback entails that ciDzens, using the prototype, provide feedback about their experience using the service, and their feedback should be taken into account for next iteraDons of the proposed soluDon. This feedback should then be used to improve the service. –  repeat the last three steps in order to improve the proposed soluDon based on feedback received from potenDal users- It allows for improvements based on actual usage by ciDzens. 4. To drive the process, an innova8on team needs to be established. Examples of similar frameworks: at the naDonal level, the government innovaDon labs Nesta in the United Kingdom; At local level, urban living labs such as Forum Virium in Helsinki. –  hp://www.ideo.com/ –  hp://www.nesta.org.uk/ –  hp://www.forumvirium.fi/en 24 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 25. “smartness as a vision to respond to local governance challenges” Generally: Significant role that local governments play in cities Shanghai: Giant developing infrastructure and global influence Malaysia: Getting a place in the geo-regional area Japan and Amsterdam: Facing energy constraints with innovation New York: Innovation for civic engagement Spain: Opportunities for economic reactivation? Scope Definitions Theory & framework Hipothesis Model Shanghai Findings Challenges 12 Concluding remarks Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 26. •  Limited scope for people and communities •  Innovation framed whithin the scope of prefered stakeholders •  Evaluation is key, and we find few cities doing it. Shanghai and cities in Japan do it Scope Definitions Theory & framework Hipothesys Model Shanghai Findings Challenges Concluding remarks 14 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 27. Analysis and Findings People and Communi8es frameworks to develop smart ci8es and policies involving ci8zens. These innovaDve frameworks (Nesta, Forumvirium…) are insDtuDons that have ingrained the values of parDcipaDon. They share a culture of : -  rapid prototyping -  and fail safe environments where the tesDng and prototyping of new ideas is allowed: “in fact, it is failure during the early stages of prototyping what allows for a beer outcome, in collaboraDon with early adopters that provide useful and meaningful feedback” (2013). These kind of teams are well prepared to be constantly looking for ciDzen service delivery gaps and propose soluDons that are co-designed with ciDzens through feedback in iteraDve processes. Other factors for further research for people and communi8es include digital divides, educaDon, parDcipaDon and partnership, informaDon and community gatekeepers, communicaDon, quality of life and accessibility. 27 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 28. Analysis and Findings Natural environment •  Concerns present in all the cases explored. •  Japan did set up the smart pilots in the aoermath of the nuclear accidents. •  China faces severe environmental concerns. Malaysia is also aware in Iskandar. •  New York has suffered severe impact of climate change in november 2012. •  Tarragona is also concerned. We find this field as one posing the biggest challenges at a global level. Would local policies be enough to tackle this challenge? No homogeneous path towards a smart goal. Goals defined in smart plans and factors men)oned above play a cri)cal role in differences among the cases 28 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 29. 23 Thank you for your attention and discussion Powerpoint will be available for download at: Slideshare Olga Gil 謝謝 15 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 30. Scope Definitions Theory & Framework Hipothesis Model Cases Findings Challenges Annex I, II Index 16 Annex I Variables in detail Annex I Detailed work
  • 31. Variables in the study 31 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 32. Variables in the study 32 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 33. Variables in the study 33 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga
  • 34. Variables in the study 34 Green Areas in Smart Cities.Ideas. Facts. Definition Gil@OlgaG @ResearcherOlga