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Human mobility patterns are associated with experienced partisan segregation in US metropolitan areas
Partisan sorting in residential environments is an enduring feature of contemporary American politics, but little research has examined partisan segregation individuals experience in activity spaces through their daily activities. Relying on advances in spatial computation and global positioning sys...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276023/ https://www.ncbi.nlm.nih.gov/pubmed/37328538 http://dx.doi.org/10.1038/s41598-023-36946-z |
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author | Zhang, Yongjun Cheng, Siwei Li, Zhi Jiang, Wenhao |
author_facet | Zhang, Yongjun Cheng, Siwei Li, Zhi Jiang, Wenhao |
author_sort | Zhang, Yongjun |
collection | PubMed |
description | Partisan sorting in residential environments is an enduring feature of contemporary American politics, but little research has examined partisan segregation individuals experience in activity spaces through their daily activities. Relying on advances in spatial computation and global positioning system data on everyday mobility flows collected from smartphones, we measure experienced partisan segregation in two ways: place-level partisan segregation based on the partisan composition of its daily visitors and community-level experienced partisan segregation based on the segregation level of places visited by its residents. We find that partisan segregation experienced in places varies across different geographic areas, location types, and time periods. Moreover, partisan segregation is distinct from experienced segregation by race and income. We also find that partisan segregation individuals experience is relatively lower when they visit places beyond their residential areas, but partisan segregation in residential space and activity space is strongly correlated. Residents living in predominantly black, liberal, low-income, non-immigrant, more public transit-dependent, and central city communities tend to experience a higher level of partisan segregation. |
format | Online Article Text |
id | pubmed-10276023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102760232023-06-18 Human mobility patterns are associated with experienced partisan segregation in US metropolitan areas Zhang, Yongjun Cheng, Siwei Li, Zhi Jiang, Wenhao Sci Rep Article Partisan sorting in residential environments is an enduring feature of contemporary American politics, but little research has examined partisan segregation individuals experience in activity spaces through their daily activities. Relying on advances in spatial computation and global positioning system data on everyday mobility flows collected from smartphones, we measure experienced partisan segregation in two ways: place-level partisan segregation based on the partisan composition of its daily visitors and community-level experienced partisan segregation based on the segregation level of places visited by its residents. We find that partisan segregation experienced in places varies across different geographic areas, location types, and time periods. Moreover, partisan segregation is distinct from experienced segregation by race and income. We also find that partisan segregation individuals experience is relatively lower when they visit places beyond their residential areas, but partisan segregation in residential space and activity space is strongly correlated. Residents living in predominantly black, liberal, low-income, non-immigrant, more public transit-dependent, and central city communities tend to experience a higher level of partisan segregation. Nature Publishing Group UK 2023-06-16 /pmc/articles/PMC10276023/ /pubmed/37328538 http://dx.doi.org/10.1038/s41598-023-36946-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Yongjun Cheng, Siwei Li, Zhi Jiang, Wenhao Human mobility patterns are associated with experienced partisan segregation in US metropolitan areas |
title | Human mobility patterns are associated with experienced partisan segregation in US metropolitan areas |
title_full | Human mobility patterns are associated with experienced partisan segregation in US metropolitan areas |
title_fullStr | Human mobility patterns are associated with experienced partisan segregation in US metropolitan areas |
title_full_unstemmed | Human mobility patterns are associated with experienced partisan segregation in US metropolitan areas |
title_short | Human mobility patterns are associated with experienced partisan segregation in US metropolitan areas |
title_sort | human mobility patterns are associated with experienced partisan segregation in us metropolitan areas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276023/ https://www.ncbi.nlm.nih.gov/pubmed/37328538 http://dx.doi.org/10.1038/s41598-023-36946-z |
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