Quantifying the impact of COVID-19 on travel behavior in different socioeconomic segments
Access status:
Open Access
Type
ArticleAbstract
This paper investigates the impact of COVID-19 on travel behavior in different socio-economic segments
in the USA using integrated mobile device location data over the period 1 Jan 2020 ~ 20 Apr 2021.
A fixed-effect panel regression model is estimated to statistically identify ...
See moreThis paper investigates the impact of COVID-19 on travel behavior in different socio-economic segments in the USA using integrated mobile device location data over the period 1 Jan 2020 ~ 20 Apr 2021. A fixed-effect panel regression model is estimated to statistically identify the relationship between COVID monitoring measures and travel behavior such as nonwork/work trips, travel miles, out-of-state trips, and the incidence of WFH in different socio-economic segments. We find that as exposure to COVID increases, the number of trips and traveling miles starts to bounce back to pre-COVID levels, while the incidence of WFH remained relatively stable and may never return to pre-COVID level. The findings have implications for understanding the heterogeneous mobility response of individuals in different socio-economic segments to various COVID waves, and thus can provide insights into the recovery of travel behavior.
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See moreThis paper investigates the impact of COVID-19 on travel behavior in different socio-economic segments in the USA using integrated mobile device location data over the period 1 Jan 2020 ~ 20 Apr 2021. A fixed-effect panel regression model is estimated to statistically identify the relationship between COVID monitoring measures and travel behavior such as nonwork/work trips, travel miles, out-of-state trips, and the incidence of WFH in different socio-economic segments. We find that as exposure to COVID increases, the number of trips and traveling miles starts to bounce back to pre-COVID levels, while the incidence of WFH remained relatively stable and may never return to pre-COVID level. The findings have implications for understanding the heterogeneous mobility response of individuals in different socio-economic segments to various COVID waves, and thus can provide insights into the recovery of travel behavior.
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Date
2022-08-24Funding information
iMOVE Cooperative Research Centre (CRC) research projects 1-031 and 1-034 with Transport and Main Roads, Queensland (TMR), Transport for News South Wales (TfNSW) and WA Department of Transport (WADoT) on Working for Home and Implications for Revision of Metropolitan Strategic Transport Models
Faculty/School
The University of Sydney Business SchoolDepartment, Discipline or Centre
Institute of Transport and Logistics Studies (ITLS)Share