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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...

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Detalles Bibliográficos
Autores principales: Zhang, Yongjun, Cheng, Siwei, Li, Zhi, Jiang, Wenhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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