Predicting neighborhoods’ socioeconomic attributes using restaurant data

Accessing high-resolution, timely socioeconomic data such as data on population, employment, and enterprise activity at the neighborhood level is critical for social scientists and policy makers to design and implement location-based policies. However, in many developing countries or cities, reliabl...

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Bibliographic Details
Main Authors: Dong, Lei, Ratti, Carlo, Zheng, Siqi
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Language:English
Published: Proceedings of the National Academy of Sciences 2020
Subjects:
Online Access:https://hdl.handle.net/1721.1/124367