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.

chapter 1|8 pages


ByLaurie A. Schintler, Zhenhua Chen

part I|97 pages

New big data sources in regional science

chapter 2|11 pages

Opportunities for retail data and their geographic integration in social science

ByGuy Lansley, Paul Longley

chapter 3|16 pages

Use of probe data generated by taxis

ByJosep Maria Salanova, Michal Maciejewski, Joschka Bischoff, Miquel Estrada Romeu, Panagiotis Tzenos, Iraklis Stamos

chapter 4|14 pages

The emerging geography of globalizing Chinese cities based on web-based information services

ByJean-Claude Thill, Jae Soen Son, Min Chen

chapter 5|12 pages

Using web-crawled data for urban housing research

ByZhenhua Chen

chapter 7|19 pages

Crowdsourcing street beauty

Visual preference surveys in the big data era
ByRobert Goodspeed, Xiang Yan

chapter 8|12 pages

Public response to campus shootings using social media

ByXinyue Ye, Zhuo Chen, Shengwen Li

part II|81 pages

Big data integration and management

chapter 9|12 pages

Using big (synthetic) data to identify local housing market attributes

ByA. Yair Grinberger, Daniel Felsenstein

chapter 11|12 pages

Processing uncertain GPS trajectory data for assessing the locations of physical activity

BySungsoon Hwang, Sai Yalla, Ryan Crews

chapter 13|11 pages

The integration of Internet data and census data for spatial analysis in a geoportal

ByBing She, Hua Li, Shuming Bao

chapter 14|12 pages

Big data, socio-environmental resilience and urban systems planning support

ByBrian Deal, Aaron Petri, Haozhi Pan, Stephanie Timm

chapter 15|12 pages

Big data perspectives

Adoption of a regional environmental information system
ByAndrea De Montis, Sabrina Lai, Nicoletta Sannio, Gianluca Cocco

part III|85 pages

Big data analytics in regional science

chapter 16|13 pages

From ‘big data’ to big regions

The geography of the American commute
ByAlasdair Rae, Garrett Dash Nelson

chapter 17|10 pages

Big data, agents and the city

ByAndrew Crooks, Nick Malleson, Sarah Wise, Alison Heppenstall

chapter 18|15 pages

Damage assessment of the urban environment during disasters using volunteered geographic information

ByCarolynne Hultquist, Elena Sava, Guido Cervone, Nigel Waters

chapter 19|14 pages

Integrating big data into a geospatial framework of disaster impact analysis

ByYuri Mansury, Sutee Anantsuksomsri, Nij Tontisirin

chapter 20|14 pages

A big data application of spatial microsimulation for neighborhoods in England and Wales

ByMichelle A. Morris, Stephen Clark

chapter 21|8 pages

Big data clustering and its applications in regional science

ByYazhou Ren

chapter 22|9 pages

Big data and shrinking cities

How Twitter can help determine urban sentiments
ByJustin B. Hollander, Maxwell D. Hartt

part IV|72 pages

New frontiers of big data in regional science

chapter 23|15 pages

Big data in emerging cities

ByPranab K. Roy Chowdhury, Susanna H. Sutherland, Kathleen M. Ernst, Alexander Pawlowski, Erik H. Schmidt, Janna R. Caspersen, Ziliang Zhao, Budhendra L. Bhaduri

chapter 24|12 pages

Recommendations for big data programs at transportation agencies

ByGregory D. Erhardt, Michael Batty, Elsa Arcaute

chapter 25|11 pages

Towards data-driven cities

Incorporating big data into urban management
ByHossein Estiri, Nader Afzalan

chapter 26|9 pages

Big data, privacy and the policy process in the United States

In regional economic development
ByRoger Stough, Dennis McBride

chapter 27|12 pages

Urban informatics

Defining an emerging field
ByRobert Goodspeed

chapter 28|11 pages

The constantly shifting face of the digital divide

Implications for big data, urban informatics, and regional science
ByLaurie A. Schintler