Economic outcomes predicted by diversity in cities
Name
s13688-020-00234-x.pdf
Description
Published version
Size
1.69 MB
Format
Adobe PDF
Checksum (MD5)
7bc7fff52096735071d07044dfb5feba
Author(s)
Chong, SK
Bahrami, M
Chen, H
Balcisoy, S
Bozkaya, B
Pentland, A
Date Issued
June 2020
Journal
EPJ Data Science
Publisher
Springer Science and Business Media LLC
Citation
Chong, SK, Bahrami, M, Chen, H, Balcisoy, S, Bozkaya, B et al. 2020. "Economic outcomes predicted by diversity in cities." EPJ Data Science, 9 (1).
Version
Final published version
Abstract
© 2020, The Author(s). 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.
MIT Department
MIT Connection Science (Research institute)
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1140/epjds/s13688-020-00234-x
