Computational Urban Planning and Management for Smart Cities

506 Pages·2019·24.982 MB·English

by  Stan Geertman, Qingming Zhan, Andrew Allan, Christopher Pettit

Lecture Notes
in Geoinformation and Cartography
Stan Geertman
Qingming Zhan
Andrew Allan
Christopher Pettit E ditors
Computational
Urban
Planning and
Management
for Smart Cities
Lecture Notes in Geoinformation
and Cartography
Series Editors
William Cartwright, School of Science, RMIT University,
Melbourne, VIC, Australia
Georg Gartner, Department of Geodesy and Geoinformation,
Vienna University of Technology, Wien, Austria
Liqiu Meng, Department of Civil, Geo and Environmental Engineering,
Technische Universität München, München, Germany
Michael P. Peterson, Department of Geography and Geology,
University of Nebraska at Omaha, Omaha, NE, USA
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material published traditionally includes:
(cid:129) proceedings that are peer-reviewed and published in association with a
conference;
(cid:129) post-proceedings consisting of thoroughly revised final papers; and
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TheLectureNotesinGeoinformationandCartographyseriesalsoincludesvarious
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(cid:129) tutorials or collections of lectures for advanced courses;
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interest; and
(cid:129) emerging areas of research directed at a broad community of practitioners.
More information about this series at http://www.springer.com/series/7418
Stan Geertman Qingming Zhan
(cid:129) (cid:129)
Andrew Allan Christopher Pettit
(cid:129)
Editors
Computational Urban
Planning and Management
for Smart Cities
123
Editors
StanGeertman Qingming Zhan
Human GeographyandPlanning Schoolof Urban Design
UtrechtUniversity WuhanUniversity
Utrecht, The Netherlands Wuhan, China
AndrewAllan Christopher Pettit
Schoolof Art, Architecture andDesign Faculty of the BuiltEnvironment
University of SouthAustralia University of NewSouthWales
Adelaide, SA,Australia Sydney,NSW,Australia
ISSN 1863-2246 ISSN 1863-2351 (electronic)
Lecture Notesin Geoinformation andCartography
ISBN978-3-030-19423-9 ISBN978-3-030-19424-6 (eBook)
https://doi.org/10.1007/978-3-030-19424-6
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Preface
The international CUPUM conference (Computers in Urban Planning and Urban
Management) has been one of the premier international conferences for the
exchange of ideas and applications of computer technologies to address a range of
socialandenvironmentalproblemsrelatingtourbanareas.Thefirstconferencetook
placein1989inHongKong.Sincethen,thisbiannualconferencehasbeenhosted
in cities across Asia, Australia, Europe, North America and South America
(Table 1).In2009,HongKongonceagainhostedaCUPUMconference.Andnow,
in 2019, 10 years after that date and 30 years after the first CUPUM conference,
ChinaoncemoreisthehostforaCUPUMconference,nowatWuhanUniversityin
its 16th iteration.
Table1 PastCUPUMconferences
Number Year Place Country
I 1989 HongKong HongKong
II 1991 Oxford UK
III 1993 Atlanta USA
IV 1995 Melbourne Australia
V 1997 Mumbai India
VI 1999 Venice Italy
VII 2001 Honolulu USA
VIII 2003 Sendai Japan
IX 2005 London UK
X 2007 IguazuFalls Brazil
XI 2009 HongKong China
XII 2011 LakeLouise(Calgary/Banff) Canada
XIII 2013 Utrecht TheNetherlands
XIV 2015 Boston USA
XV 2017 Adelaide Australia
XVI 2019 Wuhan China
v
vi Preface
Table2 BoardofDirectorsofCUPUM
Name Institute Country
StanGeertman(ChairofBoard) UtrechtUniversity NED
AndrewAllan UniversityofSouthAustralia AUS
JosephFerreira MassachusettsInstituteofTechnology USA
RobertGoodspeed UniversityofMichigan USA
WeifengLi UniversityofHongKong CHN
ChristopherPettit UniversityofNewSouthWales AUS
ZhanQingming WuhanUniversity CHN
AntonioN.RodriguesdaSilva UniversityofSaoPaulo BRA
ReneeSieber McGillUniversity CAN
AtsushiSuzuki MeijoUniversity JPN
Table3 AdvisorstotheCUPUMBoard
Name Institute Country
MichaelBatty(Chair) UniversityCollegeLondon GBR
KarlKim UniversityofHawaii USA
DickKlosterman UniversityofAkron USA
KazuakiMiyamoto TokyoCityUniversity JPN
PaolaRizzi UniversitàdegliStudidiSassari ITA
JohnStillwell UniversityofLeeds GBR
AnthonyG.O.Yeh UniversityofHongKong CHN
RayWyatt UniversityofMelbourne AUS
TheCUPUMBoard(Tables 2and3)haspromotedthepublicationofaSpringer
CUPUMBook2019withaselectionofscientificpapersthatweresubmittedtothe
conference. Those papers went through a competitive review process that resulted
in the selection of what the reviewers deemed to be the best CUPUM papers of
2019. All these papers fit the main overarching central theme of the Wuhan 2019
CUPUM conference: Computational Urban Planning and Management for Smart
Cities.Therein,weacknowledgethattheemergentphenomenonofsmartcitiesisin
need of innovative technologies, associated methodologies and their adoption by
the key actors responsible for their planning and management. By gathering at the
conference premises from 8 to 12 July 2019 in Wuhan China and via the publi-
cation of this Springer CUPUM Book 2019, we hope to exchange new innovative
ideas on this theme and bring together science and practice much closer than ever
before.
Organizing the programme of an international conference and editing a volume
of scientific papers requires dedication, time, effort and support. First of all, we
wouldliketothankallthepeoplecloselyinvolvedintheorganizationoftheWuhan
2019 CUPUM conference. Organizing such a conference always turns out to be
much more work and generating much more problems/challenges than envisaged
before.
Preface vii
Second,asbookeditors,wewouldliketothanktheauthorsfortheirhigh-quality
contributions.Westartedwith35proposalsforinterestingbookchaptersandfinally
ended up with 26 high-quality full chapters in this book. The double-blind review
process was not an easy task and it is always difficult when potential authors
experiencethe disappointment ofnot being selected. By fulfilling thedouble-blind
reviewprocessanddemandingatleasttworeviewspersubmission,webelievethat
the review process has been conducted in a fair and equal way.
Third, we would like to thank our scientific sponsors (Utrecht University,
WuhanUniversity,UniversityofSouthAustralia,UniversityofNewSouthWales)
for their contribution in time and resources to this publication. In addition, we
would like to thank Springer Publishers for their willingness to publish these
contributions in their academic series Springer Lecture Notes in Geoinformation
andCartography.Thisisalreadythefourthtimethataselectionofbestpapersfrom
theCUPUMconferencehasbeenpublishedbySpringer.Thefirsttimewasin2013
when we published the book: Planning Support Systems for Sustainable Urban
Development(StanGeertman,FredToppen,JohnStillwell(eds.)).Thesecondtime
was in 2015 when we published the book: Planning Support Systems and Smart
Cities(StanGeertman,JoeFerreira,RobertGoodspeed,JohnStillwell(eds.)).And
in 2017, we published the book: Planning Support Science for Smarter Urban
Futures (Stan Geertman, Andrew Allan, Christopher Pettit, John Stillwell (eds.)).
We hope more CUPUM books will follow.
Wuhan, China Stan Geertman
2019 Qingming Zhan
Andrew Allan
Christopher Pettit
Contents
1 Computational Urban Planning and Management for Smart
Cities: An Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Stan Geertman, Andrew Allan, Qingming Zhan and Chris Pettit
Part I Smart City
2 Sejong Smart City: On the Road to Be a City of the Future . . . . . 17
Yountaik Leem, Hoon Han and Sang Ho Lee
3 Data Protection Law and City Planning: Role of Open Data in
ClimateResilienceandGovernanceofNationalCapitalTerritory
of Delhi, India. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Mahak Agrawal
4 ExploringShared-BikeTravelPatternsUsingBigData:Evidence
in Chicago and Budapest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Ali Soltani, Tamás Mátrai, Rosalia Camporeale and Andrew Allan
5 Can Social Media Play a Role in Urban Planning? A Literature
Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69
Yanliu Lin and Stan Geertman
6 Bridging the Information and Physical Space: Measuring Flow
from Geo-Located Social Media Data on the Street Network . . . . . 85
Alireza Karduni and Eric Sauda
7 Comparing Smart Governance Projects in China: A Contextual
Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
Huaxiong Jiang, Stan Geertman and Patrick Witte
ix
x Contents
Part II Computational Planning
8 A Preliminary Study on Micro-Scale Planning Support
System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
Daosheng Sun, Xiaochun Huang, Lianna He, Tengyun Hu
and Yilong Rong
9 Geodesign—A Tale of Three Cities. . . . . . . . . . . . . . . . . . . . . . . . . 139
Christopher Pettit, Scott Hawken, Carmela Ticzon
and Hitomi Nakanishi
10 Toward a Better Understanding of Urban Sprawl: Linking
Spatial Metrics and Landscape Networks Dynamics. . . . . . . . . . . . 163
Tengyun Hu, Xiaochun Huang, Xuecao Li, Lu Liang and Fei Xue
11 Correlating Household Travel Carbon Emissions, Travel
Behavior and Land Use: Case Study of Wuhan, China . . . . . . . . . 179
Jingnan Huang, Ming Zhang and Ningrui Du
12 ASimulationPlatformforTransportation,LandUseandMobile
Source Emissions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205
Liyuan Zhao and Zhong-Ren Peng
13 Hosting a Mega Event, a Drive Towards Sustainable
Development: Dubai’s Expo 2020 . . . . . . . . . . . . . . . . . . . . . . . . . . 223
Bashar Taha and Andrew Allan
14 Deep Learning Architect: Classification for Architectural Design
Through the Eye of Artificial Intelligence. . . . . . . . . . . . . . . . . . . . 249
Yuji Yoshimura, Bill Cai, Zhoutong Wang and Carlo Ratti
15 AnImmersive3DVirtualEnvironmenttoSupportCollaborative
Learning and Teaching. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267
Aida Afrooz, Lan Ding and Christopher Pettit
16 Spatiotemporal Information System Using Mixed Reality for
Area-Based Learning and Sightseeing. . . . . . . . . . . . . . . . . . . . . . . 283
Ryuhei Makino and Kayoko Yamamoto
Part III Mobility
17 Origin-Destination Estimation of Bus Users
by Smart Card Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305
Mona Mosallanejad, Sekhar Somenahalli and David Mills
18 The Comparison Between Two Different Algorithms
of Spatio-Temporal Forecasting for Traffic Flow Prediction. . . . . . 321
Haochen Shi, Yufeng Yue and Yunqi Zhou