BIG DATA AND BIG CITIES: THE PROMISES AND LIMITATIONS OF IMPROVED MEASURES OF URBAN LIFE.
New, 'big data' sources allow measurement of city characteristics and outcome variables at higher collection frequencies and more granular geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big urban data has the most value for the s...
| Publicado en: | Economic Inquiry Vol. 56; no. 1; pp. 114 - 138 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Wiley-Blackwell
Jan2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=126419581&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 126419581 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00952583 EIQ jtl: Economic Inquiry issn: 00952583 maglogo: Y pubinfo: dt: Jan2018 vid: 56 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 126419581 10.1111/ecin.12364 ppf: 114 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P size: 886KB tig: atl: BIG DATA AND BIG CITIES: THE PROMISES AND LIMITATIONS OF IMPROVED MEASURES OF URBAN LIFE. aug: au: Glaeser, Edward L. Kominers, Scott Duke Luca, Michael Naik, Nikhil affil: Department of Economics, Harvard University, Cambridge, MA, 02138 John F. Kennedy School of Government, Harvard University, Cambridge, MA, 02138 National Bureau of Economic Research, Cambridge, MA, 02138. Center of Mathematical Sciences and Applications, Harvard University, Cambridge, MA, 02138 Center for Research on Computation and Society, Harvard University, Cambridge, MA, 02138 Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138 Entrepreneurial Management, Harvard Business School, Boston, MA, 02163 Society of Fellows, Harvard University, Cambridge, MA, 02138. Negotiation, Organizations & Markets, Harvard Business School, Boston, MA, 02163 Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139 su: Google Maps Google Earth (Web resource) Urban life Income Poverty Big data sug: subj: Urban life Income Poverty Big data Google Maps Google Earth (Web resource) ab: New, 'big data' sources allow measurement of city characteristics and outcome variables at higher collection frequencies and more granular geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big urban data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar imagery data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services. ( JEL R1, C8, C18) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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