Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or ‘Big Data’. This data now allows us to examine urban and regional phenomena in ways that were previously not possible. Despite the tremendous potential of big data for regional science, its use and application in this context is fraught with issues and challenges. This book brings together leading contributors to present an interdisciplinary, agenda-setting and action-oriented platform for research and practice in the urban and regional community.
This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes contributed by experts from all over the world with a wide array of disciplinary backgrounds. The content is organized along four themes: sources of big data; integration, processing and management of big data; analytics for big data; and, higher level policy and programmatic considerations. As well as concisely and comprehensively synthesising work done to date, the book also considers future challenges and prospects for the use of big data in regional science.
Big Data for Regional Science provides a seminal contribution to the field of regional science and will appeal to a broad audience, including those at all levels of academia, industry, and government.
Table of Contents:
Contents
List of Figures
List of Tables
List of Contributors
Foreword by Michael Batty
1. Introduction
Laurie A. Schintler and Zhenhua Chen
PART I New Big Data Source in Regional Science
2. Opportunities for Retail Data and Their Geographic Integration in Social Science
Guy Lansley and Paul Longley
3. Use of Probe Data Generated by Taxis
Josep Maria Salanova, Michal Maciejewski, Joschka Bischoff, Miquel Estrada Romeu, Panagiotis Tzenos, and Iraklis Stamos
4. The Emerging Geography of Globalizing Chinese Cities Based on Web-based Information Services
Jean-Claude Thill, Jae Soen Son, and Min Chen
5. Using Web Crawled Data for Urban Housing Research
Zhenhua Chen
6. Examining Intraurban Migration in the Twin Cities Metropolitan Area using Parcel Data
Shipeng Sun
7. Crowdsourcing Street Beauty: Visual Preference Surveys in the Big Data Era
Robert Goodspeed and Xiang Yan
8. Public Response to Campus Shootings Using Social Media
Xinyue Ye, Zhuo Chen, and Shengwen Li
PART II Big Data Integration and Management
9. Using Big (Synthetic) Data to Identify Local Housing Market Attributes
A.Yair Grinberger and Daniel Felsenstein
10. Using Recurrent Spatio-Temporal Profiles in GPS Panel Data for Enhancing Imputation of Activity Type
Tao Feng and Harry J.P. Timmermans
11. Processing Uncertain GPS Trajectory Data for Assessing the Locations of Physical Activity
Sungsoon Hwang, Sai Yalla, and Ryan Crews
12. Exploring Digital Technology Industry Clusters Using Administrative and Frontier Data
Max Nathan and Anna Rosso
13. The Integration of Internet Data and Census Data for Spatial Analysis in a Geoportal
Bing She, Hua Li and Shuming Bao
14. Big Data, Socio-Environmental Resilience, and Urban Systems Planning Support
Brian Deal, Aaron Petri, Haozhi Pan, and Stephanie Timm
15. Big Data Perspectives: Adoption of a Regional Environmental Information System
Andrea De Montis, Sabrina Lai, Nicoletta Sannio, and Gianluca Cocco
PART III Big Data Analytics in Regional Science
16. From ‘Big Data’ to Big Regions: the Geography of the American Commute
Alasdair Rae and Garrett Nelson
17. Big Data, Agents and the City
Andrew Crooks, Nick Malleson, Sarah Wise, and Alison Heppenstall
18. Damage Assessment of the Urban Environment during Disasters using Volunteered Geographic Information
Carolynne Hultquist, Elena Sava, Guido Cervone, and Nigel Waters
19. Integrating Big Data into a Geospatial Framework of Disaster Impact Analysis
Yuri Mansury, Sutee Anantsuksomri, and Nij Tontisirin
20. A Big Data Application of Spatial Microsimulation for Neighbourhoods in England and Wales Michelle A Morris and Stephen Clark
21. Big Data Clustering and Its Applications in Regional Science
Yazhou Ren
22. Big Data and Shrinking Cities: How Twitter Can Help Determine Urban Sentiments
Justin B. Hollander and Maxwell D. Hartt
PARI IV New Frontiers of Big Data in Regional Science: Opportunity and Challenge
23. Big Data in Emerging Cities
Pranab K. Roy Chowdhury, Susanna H. Sutherland, Kathleen M. Ernst, Alexander Pawlowski, Erik H. Schmidt, Janna R. Caspersen, Ziliang Zhao, and Budhendra L. Bhaduri
24. Recommendations for Big Data Programs at Transportation Agencies
Gregory D. Erhardt, Michael Batty, and Elsa Arcaute
25. Towards Data-Driven Cities: Incorporating Big Data into Urban Management
Hossein Estiri and Nader Afzalan
26. Big Data, Privacy and the Policy Process in the U.S.: In Regional Economic Development
Roger Stough and Dennis McBride
27. Urban Informatics: Defining an Emerging Field
Robert Goodspeed
28. The Constantly Shifting Face of the Digital Divide: Implications for Big Data, Urban Informatics, and Regional Science
Laurie A. Schintler
Index
