Economic outcomes predicted by diversity in cities
Much recent work has illuminated the growth, innovation, and prosperity of entire cities, but there is relatively less evidence concerning the growth and prosperity of individual neighborhoods. In this paper we show that diversity of amenities within a city neighborhood, computed from openly availab...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EPJ Data Science
2021
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| Online Access: | https://hdl.handle.net/1721.1/130289 |
| _version_ | 1811096892820422656 |
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| author | Chong, Shi Kai Bahrami, Mohsen Chen, Hao Balcisoy, Selim Pentland, Alex |
| author_facet | Chong, Shi Kai Bahrami, Mohsen Chen, Hao Balcisoy, Selim Pentland, Alex |
| author_sort | Chong, Shi Kai |
| collection | MIT |
| description | Much recent work has illuminated the growth, innovation, and prosperity of entire cities, but there is relatively less evidence concerning the growth and prosperity of individual neighborhoods. In this paper we show that diversity of amenities within a city neighborhood, computed from openly available points of interest on digital maps, accurately predicts human mobility (“flows”) between city neighborhoods and that these flows accurately predict neighborhood economic productivity. Additionally, the diversity of consumption behaviour or the diversity of flows together with geographic centrality and population density accurately predicts neighborhood economic growth, even after controlling for standard factors such as population, etc. We develop our models using geo-located purchase data from Istanbul, and then validate the relationships using openly available data from Beijing and several U.S. cities. Our results suggest that the diversity of goods and services within a city neighborhood is the largest single factor driving both human mobility and economic growth. |
| first_indexed | 2024-09-23T16:51:02Z |
| format | Article |
| id | mit-1721.1/130289 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:51:02Z |
| publishDate | 2021 |
| publisher | EPJ Data Science |
| record_format | dspace |
| spelling | mit-1721.1/1302892021-03-30T19:55:54Z Economic outcomes predicted by diversity in cities Chong, Shi Kai Bahrami, Mohsen Chen, Hao Balcisoy, Selim Pentland, Alex Much recent work has illuminated the growth, innovation, and prosperity of entire cities, but there is relatively less evidence concerning the growth and prosperity of individual neighborhoods. In this paper we show that diversity of amenities within a city neighborhood, computed from openly available points of interest on digital maps, accurately predicts human mobility (“flows”) between city neighborhoods and that these flows accurately predict neighborhood economic productivity. Additionally, the diversity of consumption behaviour or the diversity of flows together with geographic centrality and population density accurately predicts neighborhood economic growth, even after controlling for standard factors such as population, etc. We develop our models using geo-located purchase data from Istanbul, and then validate the relationships using openly available data from Beijing and several U.S. cities. Our results suggest that the diversity of goods and services within a city neighborhood is the largest single factor driving both human mobility and economic growth. 2021-03-30T19:53:21Z 2021-03-30T19:53:21Z 2020-06-24 Article https://hdl.handle.net/1721.1/130289 Chong, S. K., Bahrami, M., Chen, H., Balcisoy, S., Bozkaya, B., & Pentland, A. (2020). Economic outcomes predicted by diversity in cities. EPJ Data Science, 9(1), 17. en Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us/ application/pdf EPJ Data Science |
| spellingShingle | Chong, Shi Kai Bahrami, Mohsen Chen, Hao Balcisoy, Selim Pentland, Alex Economic outcomes predicted by diversity in cities |
| title | Economic outcomes predicted by diversity in cities |
| title_full | Economic outcomes predicted by diversity in cities |
| title_fullStr | Economic outcomes predicted by diversity in cities |
| title_full_unstemmed | Economic outcomes predicted by diversity in cities |
| title_short | Economic outcomes predicted by diversity in cities |
| title_sort | economic outcomes predicted by diversity in cities |
| url | https://hdl.handle.net/1721.1/130289 |
| work_keys_str_mv | AT chongshikai economicoutcomespredictedbydiversityincities AT bahramimohsen economicoutcomespredictedbydiversityincities AT chenhao economicoutcomespredictedbydiversityincities AT balcisoyselim economicoutcomespredictedbydiversityincities AT pentlandalex economicoutcomespredictedbydiversityincities |