Human mobility networks reveal increased segregation in large cities
Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic, Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec

TL;DR
This study uses cell phone mobility data to measure exposure segregation in US cities, revealing that larger cities have significantly higher socioeconomic segregation in everyday encounters than smaller ones, challenging previous assumptions.
Contribution
It introduces a new measure of exposure segregation using mobility data and uncovers how city design influences socioeconomic mixing and segregation.
Findings
Exposure segregation is 67% higher in large MSAs than small ones.
Large cities offer more differentiated spaces for socioeconomic groups.
City hubs that bridge neighborhoods reduce exposure segregation.
Abstract
A long-standing expectation is that large, dense, and cosmopolitan areas support socioeconomic mixing and exposure between diverse individuals. It has been difficult to assess this hypothesis because past approaches to measuring socioeconomic mixing have relied on static residential housing data rather than real-life exposures between people at work, in places of leisure, and in home neighborhoods. Here we develop a new measure of exposure segregation (ES) that captures the socioeconomic diversity of everyday encounters. Leveraging cell phone mobility data to represent 1.6 billion exposures among 9.6 million people in the United States, we measure exposure segregation across 382 Metropolitan Statistical Areas (MSAs) and 2829 counties. We discover that exposure segregation is 67% higher in the 10 largest Metropolitan Statistical Areas (MSAs) than in small MSAs with fewer than 100,000…
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Taxonomy
TopicsUrban Transport and Accessibility · Human Mobility and Location-Based Analysis · Urban, Neighborhood, and Segregation Studies
