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Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments

The COVID-19 pandemic has resulted in substantial negative impacts on social equity. To investigate transport inequities in communities with varying medical resources and COVID controlling measures during the COVID pandemic and to develop transport-related policies for the post-COVID-19 world, it is...

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Autores principales: Xi, Haoning, Li, Qin, Hensher, David A., Nelson, John D., Ho, Chinh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033235/
https://www.ncbi.nlm.nih.gov/pubmed/37008070
http://dx.doi.org/10.1016/j.tranpol.2023.03.014
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author Xi, Haoning
Li, Qin
Hensher, David A.
Nelson, John D.
Ho, Chinh
author_facet Xi, Haoning
Li, Qin
Hensher, David A.
Nelson, John D.
Ho, Chinh
author_sort Xi, Haoning
collection PubMed
description The COVID-19 pandemic has resulted in substantial negative impacts on social equity. To investigate transport inequities in communities with varying medical resources and COVID controlling measures during the COVID pandemic and to develop transport-related policies for the post-COVID-19 world, it is necessary to evaluate how the pandemic has affected travel behavior patterns in different socio-economic segments (SES). We first analyze the travel behavior change percentage due to COVID, e.g., increased working from home (WFH), decreased in-person shopping trips, decreased public transit trips, and canceled overnight trips of individuals with varying age, gender, education levels, and household income, based on the most recent US Household Pulse Survey census data during Aug 2020 ∼ Dec 2021. We then quantify the impact of COVID-19 on travel behavior of different socio-economic segments, using integrated mobile device location data in the USA over the period 1 Jan 2020–20 Apr 2021. Fixed-effect panel regression models are proposed to statistically estimate the impact of COVID monitoring measures and medical resources on travel behavior such as nonwork/work trips, travel miles, out-of-state trips, and the incidence of WFH for low SES and high SES. We find that as exposure to COVID increases, the number of trips, traveling miles, and overnight trips started to bounce back to pre-COVID levels, while the incidence of WFH remained relatively stable and did not tend to return to pre-COVID level. We find that the increase in new COVID cases has a significant impact on the number of work trips in the low SES but has little impact on the number of work trips in the high SES. We find that the fewer medical resources there are, the fewer mobility behavior changes that individuals in the low SES will undertake. The findings have implications for understanding the heterogeneous mobility response of individuals in different SES to various COVID waves and thus provide insights into the equitable transport governance and resiliency of the transport system in the “post-COVID” era.
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spelling pubmed-100332352023-03-23 Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments Xi, Haoning Li, Qin Hensher, David A. Nelson, John D. Ho, Chinh Transp Policy (Oxf) Article The COVID-19 pandemic has resulted in substantial negative impacts on social equity. To investigate transport inequities in communities with varying medical resources and COVID controlling measures during the COVID pandemic and to develop transport-related policies for the post-COVID-19 world, it is necessary to evaluate how the pandemic has affected travel behavior patterns in different socio-economic segments (SES). We first analyze the travel behavior change percentage due to COVID, e.g., increased working from home (WFH), decreased in-person shopping trips, decreased public transit trips, and canceled overnight trips of individuals with varying age, gender, education levels, and household income, based on the most recent US Household Pulse Survey census data during Aug 2020 ∼ Dec 2021. We then quantify the impact of COVID-19 on travel behavior of different socio-economic segments, using integrated mobile device location data in the USA over the period 1 Jan 2020–20 Apr 2021. Fixed-effect panel regression models are proposed to statistically estimate the impact of COVID monitoring measures and medical resources on travel behavior such as nonwork/work trips, travel miles, out-of-state trips, and the incidence of WFH for low SES and high SES. We find that as exposure to COVID increases, the number of trips, traveling miles, and overnight trips started to bounce back to pre-COVID levels, while the incidence of WFH remained relatively stable and did not tend to return to pre-COVID level. We find that the increase in new COVID cases has a significant impact on the number of work trips in the low SES but has little impact on the number of work trips in the high SES. We find that the fewer medical resources there are, the fewer mobility behavior changes that individuals in the low SES will undertake. The findings have implications for understanding the heterogeneous mobility response of individuals in different SES to various COVID waves and thus provide insights into the equitable transport governance and resiliency of the transport system in the “post-COVID” era. Elsevier Ltd. 2023-06 2023-03-23 /pmc/articles/PMC10033235/ /pubmed/37008070 http://dx.doi.org/10.1016/j.tranpol.2023.03.014 Text en © 2023 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
Xi, Haoning
Li, Qin
Hensher, David A.
Nelson, John D.
Ho, Chinh
Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments
title Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments
title_full Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments
title_fullStr Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments
title_full_unstemmed Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments
title_short Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments
title_sort quantifying the impact of covid-19 on travel behavior in different socio-economic segments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033235/
https://www.ncbi.nlm.nih.gov/pubmed/37008070
http://dx.doi.org/10.1016/j.tranpol.2023.03.014
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