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Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina
The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140319/ https://www.ncbi.nlm.nih.gov/pubmed/35664727 http://dx.doi.org/10.1016/j.tranpol.2022.05.012 |
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author | Wang, Jueyu Kaza, Nikhil McDonald, Noreen C. Khanal, Kshitiz |
author_facet | Wang, Jueyu Kaza, Nikhil McDonald, Noreen C. Khanal, Kshitiz |
author_sort | Wang, Jueyu |
collection | PubMed |
description | The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We identified 5 pandemic stages with different restriction regimes: the pre-pandemic, lockdown, reopening stage, restriction, and complete opening stage. Using the block-group mobility data from SafeGraph, we quantify visits to 8 types of destinations during the 5 stages. We construct regression models with interaction terms between SES and stages and find that visit patterns during the pandemic vary for different types of destinations and SES areas. Specifically, we show that visits to retail stores have a slight decrease for low and medium SES areas, and visits to retail stores and restaurants and bars bounced back immediately after the lockdown for all SES areas. The results suggest that people in low SES areas continued traveling during the pandemic. Transportation planners and policymakers should carefully design the transportation system to satisfy travel needs of those residents. Furthermore, the results also highlight the importance of designing mitigation policies that recognize the immediate recovery of visits to retail locations, restaurants, and bars. |
format | Online Article Text |
id | pubmed-9140319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91403192022-05-31 Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina Wang, Jueyu Kaza, Nikhil McDonald, Noreen C. Khanal, Kshitiz Transp Policy (Oxf) Article The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We identified 5 pandemic stages with different restriction regimes: the pre-pandemic, lockdown, reopening stage, restriction, and complete opening stage. Using the block-group mobility data from SafeGraph, we quantify visits to 8 types of destinations during the 5 stages. We construct regression models with interaction terms between SES and stages and find that visit patterns during the pandemic vary for different types of destinations and SES areas. Specifically, we show that visits to retail stores have a slight decrease for low and medium SES areas, and visits to retail stores and restaurants and bars bounced back immediately after the lockdown for all SES areas. The results suggest that people in low SES areas continued traveling during the pandemic. Transportation planners and policymakers should carefully design the transportation system to satisfy travel needs of those residents. Furthermore, the results also highlight the importance of designing mitigation policies that recognize the immediate recovery of visits to retail locations, restaurants, and bars. The Authors. Published by Elsevier Ltd. 2022-09 2022-05-27 /pmc/articles/PMC9140319/ /pubmed/35664727 http://dx.doi.org/10.1016/j.tranpol.2022.05.012 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wang, Jueyu Kaza, Nikhil McDonald, Noreen C. Khanal, Kshitiz Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina |
title | Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina |
title_full | Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina |
title_fullStr | Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina |
title_full_unstemmed | Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina |
title_short | Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina |
title_sort | socio-economic disparities in activity-travel behavior adaptation during the covid-19 pandemic in north carolina |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140319/ https://www.ncbi.nlm.nih.gov/pubmed/35664727 http://dx.doi.org/10.1016/j.tranpol.2022.05.012 |
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