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

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...

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Detalles Bibliográficos
Autores principales: Athey, Susan, Ferguson, Billy, Gentzkow, Matthew, Schmidt, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609621/
https://www.ncbi.nlm.nih.gov/pubmed/34764221
http://dx.doi.org/10.1073/pnas.2026160118
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author Athey, Susan
Ferguson, Billy
Gentzkow, Matthew
Schmidt, Tobias
author_facet Athey, Susan
Ferguson, Billy
Gentzkow, Matthew
Schmidt, Tobias
author_sort Athey, Susan
collection PubMed
description 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.
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spelling pubmed-86096212021-12-06 Estimating experienced racial segregation in US cities using large-scale GPS data Athey, Susan Ferguson, Billy Gentzkow, Matthew Schmidt, Tobias Proc Natl Acad Sci U S A Social Sciences 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. National Academy of Sciences 2021-11-10 2021-11-16 /pmc/articles/PMC8609621/ /pubmed/34764221 http://dx.doi.org/10.1073/pnas.2026160118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Social Sciences
Athey, Susan
Ferguson, Billy
Gentzkow, Matthew
Schmidt, Tobias
Estimating experienced racial segregation in US cities using large-scale GPS data
title Estimating experienced racial segregation in US cities using large-scale GPS data
title_full Estimating experienced racial segregation in US cities using large-scale GPS data
title_fullStr Estimating experienced racial segregation in US cities using large-scale GPS data
title_full_unstemmed Estimating experienced racial segregation in US cities using large-scale GPS data
title_short Estimating experienced racial segregation in US cities using large-scale GPS data
title_sort estimating experienced racial segregation in us cities using large-scale gps data
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609621/
https://www.ncbi.nlm.nih.gov/pubmed/34764221
http://dx.doi.org/10.1073/pnas.2026160118
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