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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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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. |
format | Online Article Text |
id | pubmed-8609621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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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