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Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis
The ongoing COVID-19 pandemic has created significant public health concerns that led the public and private sectors to impose stay-at-home and work-from-home policies. Although working from home has been a conventional albeit infrequent behavior, the prevalence of this option was significantly and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919854/ https://www.ncbi.nlm.nih.gov/pubmed/35308087 http://dx.doi.org/10.1016/j.tra.2022.03.003 |
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author | Rafiq, Rezwana McNally, Michael G. Sarwar Uddin, Yusuf Ahmed, Tanjeeb |
author_facet | Rafiq, Rezwana McNally, Michael G. Sarwar Uddin, Yusuf Ahmed, Tanjeeb |
author_sort | Rafiq, Rezwana |
collection | PubMed |
description | The ongoing COVID-19 pandemic has created significant public health concerns that led the public and private sectors to impose stay-at-home and work-from-home policies. Although working from home has been a conventional albeit infrequent behavior, the prevalence of this option was significantly and rapidly accelerated during the pandemic. This study explored the impacts of working from home on activity-travel behavior during the pandemic. Both work and non-work activity participation declined during the pandemic but to what extent was this due to working from home? How did working from home affect other measures of travel such as person-miles traveled? We approached these questions by developing a Structural Regression model and using cross-sectional data for the early phase of the pandemic when the infection curve was flattened and activity-travel behavior became relatively stable following the drastic changes observed during the pandemic’s initial shock. Combining U.S. county-level data from the Maryland Transportation Institute and Google Mobility Reports, we concluded that the proportion of people working from home directly depended on pandemic severity and associated public health policies as well as on a range of socio-economic characteristics. Working from home contributed to a reduction in workplace visits. It also reduced non-work activities but only via a reduction in non-work activities linked to work. Finally, a higher working from home proportion in a county corresponded to a reduction in average person-miles traveled. A higher degree of state government responses to containment and closure policies contributed to an increase in working from home, and decreases in workplace and non-workplace visits and person-miles traveled in a county. The results of this study provide important insights into changes in activity-travel behavior associated with working from home as a response strategy to major disruptions such as those imposed by a pandemic. |
format | Online Article Text |
id | pubmed-8919854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89198542022-03-14 Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis Rafiq, Rezwana McNally, Michael G. Sarwar Uddin, Yusuf Ahmed, Tanjeeb Transp Res Part A Policy Pract Article The ongoing COVID-19 pandemic has created significant public health concerns that led the public and private sectors to impose stay-at-home and work-from-home policies. Although working from home has been a conventional albeit infrequent behavior, the prevalence of this option was significantly and rapidly accelerated during the pandemic. This study explored the impacts of working from home on activity-travel behavior during the pandemic. Both work and non-work activity participation declined during the pandemic but to what extent was this due to working from home? How did working from home affect other measures of travel such as person-miles traveled? We approached these questions by developing a Structural Regression model and using cross-sectional data for the early phase of the pandemic when the infection curve was flattened and activity-travel behavior became relatively stable following the drastic changes observed during the pandemic’s initial shock. Combining U.S. county-level data from the Maryland Transportation Institute and Google Mobility Reports, we concluded that the proportion of people working from home directly depended on pandemic severity and associated public health policies as well as on a range of socio-economic characteristics. Working from home contributed to a reduction in workplace visits. It also reduced non-work activities but only via a reduction in non-work activities linked to work. Finally, a higher working from home proportion in a county corresponded to a reduction in average person-miles traveled. A higher degree of state government responses to containment and closure policies contributed to an increase in working from home, and decreases in workplace and non-workplace visits and person-miles traveled in a county. The results of this study provide important insights into changes in activity-travel behavior associated with working from home as a response strategy to major disruptions such as those imposed by a pandemic. Elsevier Ltd. 2022-05 2022-03-14 /pmc/articles/PMC8919854/ /pubmed/35308087 http://dx.doi.org/10.1016/j.tra.2022.03.003 Text en © 2022 Elsevier Ltd. All rights reserved. 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 Rafiq, Rezwana McNally, Michael G. Sarwar Uddin, Yusuf Ahmed, Tanjeeb Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis |
title | Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis |
title_full | Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis |
title_fullStr | Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis |
title_full_unstemmed | Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis |
title_short | Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis |
title_sort | impact of working from home on activity-travel behavior during the covid-19 pandemic: an aggregate structural analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919854/ https://www.ncbi.nlm.nih.gov/pubmed/35308087 http://dx.doi.org/10.1016/j.tra.2022.03.003 |
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