Big Data for Regional Science

1. Auflage 2017
ISBN: 978-1-138-28218-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 376 Seiten, Format (B × H): 240 mm x 161 mm, Gewicht: 710 g

Reihe: Routledge Advances in Regional Economics, Science and Policy

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.

Autoren/Hrsg.

Schintler, Laurie A

Chen, Zhenhua

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien

Inhaltsverzeichnis

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

Über Autor(innen)

Laurie A. Schintler is a computational social scientist with interests and research activity in the following areas related to Big Data analytics: geocomputation (socio-spatio modelling), transportation, regional science, scientometrics/bibliometrics and network modeling and analysis. She also has expertise on the policy-side of Big Data - specifically, issues related to the digital divide, job automation, workforce education and training and emerging technologies.
Zhenhua Chen is an assistant professor in City and Regional Planning at the Knowlton School of Architecture at The Ohio State University. His research interest includes regional science, big data analytics, risk and resilience, infrastructure planning and policy.