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Intelligence for Future Cities

Planning Through Big Data and Urban Analytics

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Robert Goodspeed

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

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  2. Raja Sengupta

    1. Department of Geography, McGill University, Montreal, Canada

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  3. Marketta Kyttä

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

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  4. Christopher Pettit

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

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  • Provides state-of-the-art research in the areas of smart cities, urban AI, mobility, and urban analytics
  • Presents the best papers from a leading conference
  • Covers a wide range of analysis methods in use in urban analytics today

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

Included in the following conference series:

Conference proceedings info: CUPUM 2023.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • Robert Goodspeed, Raja Sengupta, Marketta Kyttä, Christopher Pettit
    Pages 1-6

  4. Mobility Futures

    1. Front Matter

      Pages 89-89
      Download chapter PDF

    2. Shared Micro-mobility: A Panacea or a Patch for Our Urban Transport Problems?

      • Zhenpeng Zou
      Pages 91-108

    3. Understanding Bikeability: Insight into the Cycling-City Relationship Using Massive Dockless Bike-Sharing Records in Beijing

      • Enjia Zhang, Wanting Hsu, Ying Long, Scott Hawken
      Pages 109-123

    4. Disclosing the Impact of Micro-level Environmental Characteristics on Dockless Bikeshare Trip Volume: A Case Study of Ithaca

      • Qiwei Song, Wenjing Li, Jintai Li, Xinran Wei, Waishan Qiu
      Pages 125-147

    5. A Planning Support System for Boosting Bikeability in Seoul

      • Madiha Bencekri, Donggyun Ku, Doyun Lee, Seungjae Lee
      Pages 149-171

    6. Integrating Big Data and a Travel Survey to Understand the Gender Gap in Ride-Hailing Usage: Evidence from Chengdu, China

      • Si Qiao, Anthony Gar-On Yeh, Mengzhu Zhang
      Pages 173-192

    7. Urban Airspace Route Planning for Advanced Air Mobility Operations

      • Xi Wang, Perry Pei-Ju Yang, Michael Balchanos, Dimitri Mavris
      Pages 193-211

  5. Fine-Scale Urban Analysis

    1. Front Matter

      Pages 213-213
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    2. “Eyes on the Street”: Estimating Natural Surveillance Along Amsterdam’s City Streets Using Street-Level Imagery

      • Timo Van Asten, Vasileios Milias, Alessandro Bozzon, Achilleas Psyllidis
      Pages 215-229

    3. Automatic Evaluation of Street-Level Walkability Based on Computer Vision Techniques and Urban Big Data

      • Lu Huang, Takuya Oki, Sachio Muto, Hongjik Kim, Yoshiki Ogawa, Yoshihide Sekimoto
      Pages 231-259

    4. Promoting Sustainable Travel Through a Web-Based Tourism Support System

      • Yudai Kato, Kayoko Yamamoto
      Pages 261-282

    5. Applying the AURIN Walkability Index at the Metropolitan and Local Levels by Sex and Age in Australia

      • Arsham Bassiri Abyaneh, Andrew Allan, Johannes Pieters, Sekhar Somenahalli, Ali Soltani
      Pages 283-303

    6. Predicting Urban Heat Island Mitigation with Random Forest Regression in Belgian Cities

      • Mitali Yeshwant Joshi, Daniel G. Aliaga, Jacques Teller
      Pages 305-323
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  1. Intelligence for Future Cities

Keywords

About this book

This book contains a selection of the best papers presented at the Computational Urban Planning and Urban Management (CUPUM) conference, held in June 2023 at McGill University in Montreal, Quebec. Major themes of this book are smart cities, urban big data, and shared mobility. This book also contains chapters with cutting-edge research on urban modeling, walkability and bikeability analysis, and planning support systems (PSS).

Editors and Affiliations

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

    Robert Goodspeed

  • Department of Geography, McGill University, Montreal, Canada

    Raja Sengupta

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

    Marketta Kyttä

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

    Christopher Pettit

Bibliographic Information

  • Book Title: Intelligence for Future Cities

  • Book Subtitle: Planning Through Big Data and Urban Analytics

  • Editors: Robert Goodspeed, Raja Sengupta, Marketta Kyttä, Christopher Pettit

  • Series Title: The Urban Book Series

  • DOI: https://doi.org/10.1007/978-3-031-31746-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-31745-3Published: 03 June 2023

  • Softcover ISBN: 978-3-031-31748-4Due: 04 July 2023

  • eBook ISBN: 978-3-031-31746-0Published: 02 June 2023

  • Series ISSN: 2365-757X

  • Series E-ISSN: 2365-7588

  • Edition Number: 1

  • Number of Pages: XI, 345

  • Number of Illustrations: 7 b/w illustrations, 93 illustrations in colour

  • Topics: Sustainable Architecture/Green Buildings, Computational Science and Engineering

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