Estimating experienced racial segregation in US cities using large-scale GPS data

Proc Natl Acad Sci U S A. 2021 Nov 16;118(46):e2026160118. doi: 10.1073/pnas.2026160118.

Abstract

We estimate a measure of segregation, experienced isolation, that captures individuals' exposure to diverse others in the places they visit over the course of their days. Using Global Positioning System (GPS) data collected from smartphones, we measure experienced isolation by race. We find that the isolation individuals experience is substantially lower than standard residential isolation measures would suggest but that experienced isolation and residential isolation are highly correlated across cities. Experienced isolation is lower relative to residential isolation in denser, wealthier, more educated cities with high levels of public transit use and is also negatively correlated with income mobility.

Keywords: isolation; mobility; racial segregation.

MeSH terms

  • Cities / statistics & numerical data
  • Geographic Information Systems / statistics & numerical data*
  • Humans
  • Residence Characteristics / statistics & numerical data*
  • Social Segregation
  • Socioeconomic Factors
  • United States
  • Urban Population / statistics & numerical data*