| Description |
1 online resource (xxv, 350 pages) |
| Series |
Routledge Advances in Regional Economics, Science and Policy |
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Routledge advances in regional economics, science and policy ; 22.
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| Contents |
Cover; Title; Copyright; Contents; List of figures; List of tables; List of contributors; Foreword; 1 Introduction; Part I New big data sources in regional science; 2 Opportunities for retail data and their geographic integration in social science; 3 Use of probe data generated by taxis; 4 The emerging geography of globalizing Chinese cities based on web-based information services; 5 Using web-crawled data for urban housing research; 6 Examining intraurban migration in the Twin Cities metropolitan area using parcel data |
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7 Crowdsourcing street beauty: Visual preference surveys in the big data era8 Public response to campus shootings using social media; Part II Big data integration and management; 9 Using big (synthetic) data to identify local housing market attributes; 10 Using recurrent spatio-temporal profiles in GPS panel data for enhancing imputation of activity type; 11 Processing uncertain GPS trajectory data for assessing the locations of physical activity; 12 Exploring digital technology industry clusters using administrative and frontier data |
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13 The integration of Internet data and census data for spatial analysis in a geoportal14 Big data, socio-environmental resilience and urban systems planning support; 15 Big data perspectives: Adoption of a regional environmental information system; Part III Big data analytics in regional science; 16 From 'big data' to big regions: The geography of the American commute; 17 Big data, agents and the city; 18 Damage assessment of the urban environment during disasters using volunteered geographic information; 19 Integrating big data into a geospatial framework of disaster impact analysis |
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20 A big data application of spatial microsimulation for neighborhoods in England and Wales21 Big data clustering and its applications in regional science; 22 Big data and shrinking cities: How Twitter can help determine urban sentiments; Part IV New frontiers of big data in regional science; 23 Big data in emerging cities; 24 Recommendations for big data programs at transportation agencies; 25 Towards data-driven cities: Incorporating big data into urban management; 26 Big data, privacy and the policy process in the United States: In regional economic development |
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27 Urban informatics: Defining an emerging field28 The constantly shifting face of the digital divide: Implications for big data, urban informatics and regional science; Index |
| Summary |
"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."--Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Regional planning.
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City planning -- Statistical methods
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Big data.
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regional planning.
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SOCIAL SCIENCE -- Sociology -- Urban.
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BUSINESS & ECONOMICS -- Development -- Economic Development.
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Big data
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City planning -- Statistical methods
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Regional planning
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| Form |
Electronic book
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| Author |
Schintler, Laurie A. (Laurie Anne), editor.
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Chen, Zhenhua, editor.
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| ISBN |
9781315270838 |
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1315270838 |
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9781351983266 |
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1351983261 |
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9781351983242 |
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1351983245 |
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