Urban Big Data: City Management and Real Estate Markets
In this chapter we discuss recent trends in the application of urban big data and their impact on real estate markets. We expect such technologies to improve quality of life and the productivity of cities over the long run. We forecast that smart city technologies will reinforce the primacy of th...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer International Publishing
2024
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| Online Access: | https://hdl.handle.net/1721.1/156704 |
| _version_ | 1826189934273232896 |
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| author | Barkham, Richard Bokhari, Sheharyar Saiz, Albert |
| author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
| author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Barkham, Richard Bokhari, Sheharyar Saiz, Albert |
| author_sort | Barkham, Richard |
| collection | MIT |
| description | In this chapter we discuss recent trends in the application of urban big data and their impact on real estate markets. We expect such technologies to improve quality of life and the productivity of cities over the long run.
We forecast that smart city technologies will reinforce the primacy of the most successful global metropolises at least for a decade or more. A few select metropolises in emerging countries may also leverage these technologies to leapfrog on the provision of local public services. In the long run, all cities throughout the urban system will end up adopting successful and cost-effective smart city initiatives. Nevertheless, smaller scale interventions are likely to crop up everywhere, even in the short run. Such targeted programs are more likely to improve conditions in blighted or relatively deprived neighborhoods, which could generate gentrification and higher valuations there.
It is unclear whether urban information systems will have a centralizing or suburbanizing impact. They are likely to make denser urban centers more attractive, but they are also bound to make suburban or exurban locations more accessible. |
| first_indexed | 2024-09-23T08:30:54Z |
| format | Article |
| id | mit-1721.1/156704 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2025-02-19T04:17:01Z |
| publishDate | 2024 |
| publisher | Springer International Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1567042024-12-23T06:18:58Z Urban Big Data: City Management and Real Estate Markets Barkham, Richard Bokhari, Sheharyar Saiz, Albert Massachusetts Institute of Technology. Department of Urban Studies and Planning Massachusetts Institute of Technology. Center for Real Estate In this chapter we discuss recent trends in the application of urban big data and their impact on real estate markets. We expect such technologies to improve quality of life and the productivity of cities over the long run. We forecast that smart city technologies will reinforce the primacy of the most successful global metropolises at least for a decade or more. A few select metropolises in emerging countries may also leverage these technologies to leapfrog on the provision of local public services. In the long run, all cities throughout the urban system will end up adopting successful and cost-effective smart city initiatives. Nevertheless, smaller scale interventions are likely to crop up everywhere, even in the short run. Such targeted programs are more likely to improve conditions in blighted or relatively deprived neighborhoods, which could generate gentrification and higher valuations there. It is unclear whether urban information systems will have a centralizing or suburbanizing impact. They are likely to make denser urban centers more attractive, but they are also bound to make suburban or exurban locations more accessible. 2024-09-11T19:51:53Z 2024-09-11T19:51:53Z 2022 2024-09-11T19:46:45Z Article http://purl.org/eprint/type/BookItem https://hdl.handle.net/1721.1/156704 Barkham, R., Bokhari, S., Saiz, A. (2022). Urban Big Data: City Management and Real Estate Markets. In: Pardalos, P.M., Rassia, S.T., Tsokas, A. (eds) Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities. Springer Optimization and Its Applications, vol 186. Springer, Cham. en 10.1007/978-3-030-84459-2_10 Creative Commons Attribution-Noncommercial-ShareAlike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer International Publishing Author |
| spellingShingle | Barkham, Richard Bokhari, Sheharyar Saiz, Albert Urban Big Data: City Management and Real Estate Markets |
| title | Urban Big Data: City Management and Real Estate Markets |
| title_full | Urban Big Data: City Management and Real Estate Markets |
| title_fullStr | Urban Big Data: City Management and Real Estate Markets |
| title_full_unstemmed | Urban Big Data: City Management and Real Estate Markets |
| title_short | Urban Big Data: City Management and Real Estate Markets |
| title_sort | urban big data city management and real estate markets |
| url | https://hdl.handle.net/1721.1/156704 |
| work_keys_str_mv | AT barkhamrichard urbanbigdatacitymanagementandrealestatemarkets AT bokharisheharyar urbanbigdatacitymanagementandrealestatemarkets AT saizalbert urbanbigdatacitymanagementandrealestatemarkets |