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Urban Informatics and Future Cities

  • Book
  • © 2021

Overview

Editors:
  1. S. C. M. Geertman

    1. Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands

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  2. Christopher Pettit

    1. City Futures Research Centre, University of New South Wales, Sydney, Australia

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  3. Robert Goodspeed

    1. Taubman College of Architecture and Urban Planning, University of Michigan, Ann Arbor, USA

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  4. Aija Staffans

    1. Department of Built Environment, Aalto University, Helsinki, Finland

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  • Overview of the availability and application of Planning Support Systems (PSS) in the framework of Smart Cities, Big Data, and Urban Futures
  • Provides insights into the field of Planning Support Science (PSScience)
  • Edited by renown experts in the field

Part of the book series: The Urban Book Series (UBS)

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Table of contents (30 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Robert Goodspeed, Chris Pettit, Aija Staffans, Stan Geertman
    Pages 1-14

  3. Data Analytics and the COVID-19 Pandemic

    1. Front Matter

      Pages 15-15
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    2. Smart Governance and COVID-19 Control in Wuhan, China

      • Huaxiong Jiang, Patrick Witte, Stan Geertman
      Pages 17-32

    3. Using Public-Private Data to Understand Compliance with Mobility Restrictions in Sierra Leone

      • Innocent Ndubuisi-Obi Jr, Ziyu Ran, Yanchao Li, Chenab Ahuja Navalkha, Sarah Williams, Lily Tsai
      Pages 33-49

    4. Development of a Spatio-Temporal Analysis Method to Support the Prevention of COVID-19 Infection: Space-Time Kernel Density Estimation Using GPS Location History Data

      • Haruka Kato
      Pages 51-67

  4. Big Data and Smart Cities

    1. Front Matter

      Pages 69-69
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    2. A Review of Spatial Network Insights and Methods in the Context of Planning: Applications, Challenges, and Opportunities

      • Xiaofan Liang, Yuhao Kang
      Pages 71-91

    3. Transport Infrastructure, Twitter and the Politics of Public Participation

      • Wayne Williamson
      Pages 93-108

    4. Public Perceptions and Attitudes Towards Driverless Technologies in the United States: A Text Mining of Twitter Data

      • Zhiqiu Jiang, Max Zheng
      Pages 109-126

    5. Assessing the Value of New Big Data Sources for Transportation Planning: Benton Harbor, Michigan Case Study

      • Robert Goodspeed, Meixin Yuan, Aaron Krusniak, Tierra Bills
      Pages 127-150

    6. How Various Natural Disasters Impact Urban Human Mobility Patterns: A Comparative Analysis Based on Geotagged Photos Taken in Tokyo

      • Ahmed Derdouri, Toshihiro Osaragi
      Pages 151-171

    7. Revealing the Spatial Preferences Embedded in Online Activities: A Case Study of Chengdu, China

      • Enjia Zhang, Yu Ye, Jingxuan Hou, Ying Long
      Pages 173-188

  5. Data-Driven Research of Activity Patterns

    1. Front Matter

      Pages 189-189
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    2. Application for Locational Intelligence and Geospatial Navigation (ALIGN): Smart Navigation Tool for Generating Routes That Meet Individual Preferences

      • Ge Zhang, Subhrajit Guhathakurta, Jon Sanford, Bon Woo Koo
      Pages 191-209

    3. Pedestrian Behavior Characteristics Based on an Activity Monitoring Survey in a University Campus Square

      • Toshihiro Osaragi, Yuriko Yamada, Hiroyuki Kaneko
      Pages 211-231

    4. Developing a GIS-Based Tourist Walkability Index Based on the AURIN Walkability Toolkit—Case Study: Sydney CBD

      • Arsham Bassiri Abyaneh, Andrew Allan, Johannes Pieters, Gethin Davison
      Pages 233-256

    5. Sequential Patterns of Daily Human Activity Extracted from Person Trip Survey Data

      • Weiying Wang, Toshihiro Osaragi, Maki Tagashira
      Pages 257-275

    6. Understanding the Economic Value of Walkable Cities

      • Josephine Roper, Chris Pettit, Matthew Ng
      Pages 277-299

    7. (Big) Data in Urban Design Practice: Supporting High-Level Design Tasks Using a Visualization of Human Movement Data from Smartphones

      • Angela Rout, Wesley Willett
      Pages 301-318
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Keywords

About this book

This book forms a selection of chapters submitted for the CUPUM (Computational Urban Planning and Urban Management) conference, held in the second week of June 2021 at Aalto University in Helsinki, Finland. Chapters were selected from a double-blind review process by the conference's scientific committee. The chapters in the book cover developments and applications with big data and urban analytics, collaborative urban planning, applications of geodesign and innovations, and planning support science.

Editors and Affiliations

  • Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands

    S. C. M. Geertman

  • City Futures Research Centre, University of New South Wales, Sydney, Australia

    Christopher Pettit

  • Taubman College of Architecture and Urban Planning, University of Michigan, Ann Arbor, USA

    Robert Goodspeed

  • Department of Built Environment, Aalto University, Helsinki, Finland

    Aija Staffans

About the editors

Prof. S. C. M. Geertman is full Professor in Planning Support Science and Chair of Spatial Planning at Utrecht University in the Netherlands. He has published widely in (inter-)national journals and has edited a range of scientific books in the field of Planning Support Science. He is/was (co-)editor of several international peer-reviewed journals (e.g., ASAP - Applied Spatial Analysis and Policy) and serves on the editorial boards of diverse scientific journals (e.g. CEUS - Computers, Environment, and Urban Systems). He has been chair/member of several international conference organizations (EGIS; JECC; AGILE-2011; DDSS; CUPUM-2013) and was for the past 10 years Chair of the International Board of Directors of CUPUM (Computational Urban Planning and Urban Management). He has participated in numerous interdisciplinary research projects, ranging from ‘Climate change and sustainable land use’ to ‘Spatial economic deconcentration’. For 10 years he was the scientific director of an academic spin-off of Utrecht University (Nexpri) and was one of the founding fathers and first program director of the inter-university Master program GIMA (Geographical Information Management and Applications). His research interest can be categorized under the heading ‘Planning Support Science for Sustainable Urban Futures’.


Chris Pettit is the Director of the City Futures Research Centre, inaugural professor of Urban Science, and Plus Alliance Fellow at UNSW Sydney. He currently Chair of the Board of Directors for CUPUM (Computational Urban Planning and Urban Management). He is a member of the Planning Institute of Australia’s National Plantech Working Group, the advisory board for the Centre for Data Leadership, the Committee for Sydney’s Smart Cities Taskforce and the NSW Government Expert Advisory Group for Planning Evidence and Insights.


Prof. Pettit established the City Analytics Lab (CAL), a dedicated space designed to support collaborative city planning and user-centred design. He Chief investigator on a number of ARC, CRC and Industry projects including: The Rapid Analytics Interactive Scenario Explorer (RAISE) Toolkit which has been the recepient of the NSW Planning Institute of Australia’s Award for Research Excellence and the Committee for Sydney’s award for Smart Cities – Industry partnership.


Prof. Pettit’s expertise is in the convergence of the fields of city planning and digital technologies including Geographical Information Systems (GIS) and Planning Support Systems (PSS). He has given numerous keynote addresses at conferences around the world, is on the editorial board for a number of journals and has published over 200 academic papers. For the last 25 years, he has been undertaking research and development in the use of digital tools to support evidenced-based spatial planning.


Robert Goodspeed is an assistant professor of urban and regional planning at the University of Michigan’s Taubman College of Architecture and Urban Planning. He teaches and conducts research in the areas of collaborative planning, planning support systems, urban informatics, and scenario planning theory and methods, and is the author of the book Scenario Planning for Cities and Regions: Managing and Envisioning Uncertain Futures. He is a member of the American Institute of Certified Planners, and serves on the boards of the conference Computational Urban Planning and Urban Management (CUPUM) and the Consortium for Scenario Planning, an initiative of the Lincoln Institute of Land Policy.


Dr. Aija Staffans is an architect and works as Senior Research Fellow at Aalto University, Finland. Staffans is a pioneer in developing participative methods, digitally supported platforms and interactive environments for urban development and collaborative land use proces¬ses. She has initiated and leads the Aalto Built Environment Lab ABE for investigating innovative planning and design methodology. She also leads the multi-disciplinary research network of human-centered living environments, Living+, at Aalto since 2018. She holds several positions of trust and expertise in academic, professional and NGO organizations, and has impacted the development of urban planning in practice at various levels from local guidelines to national legislation in Finland.

Bibliographic Information

  • Book Title: Urban Informatics and Future Cities

  • Editors: S. C. M. Geertman, Christopher Pettit, Robert Goodspeed, Aija Staffans

  • Series Title: The Urban Book Series

  • DOI: https://doi.org/10.1007/978-3-030-76059-5

  • Publisher: Springer Cham

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-76058-8Published: 16 July 2021

  • Softcover ISBN: 978-3-030-76061-8Published: 17 July 2022

  • eBook ISBN: 978-3-030-76059-5Published: 15 July 2021

  • Series ISSN: 2365-757X

  • Series E-ISSN: 2365-7588

  • Edition Number: 1

  • Number of Pages: XII, 632

  • Number of Illustrations: 42 b/w illustrations, 181 illustrations in colour

  • Topics: Computer Applications, Geography, general

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