Quantifying the impact of COVID-19 on travel behavior in different socioeconomic segments
Field | Value | Language |
dc.contributor.author | Xi, Haoning | |
dc.contributor.author | Li, Qin | |
dc.contributor.author | Hensher, David A. | |
dc.contributor.author | Nelson, John | |
dc.contributor.author | Ho, Chinh | |
dc.date.accessioned | 2022-08-24T05:26:31Z | |
dc.date.available | 2022-08-24T05:26:31Z | |
dc.date.issued | 2022-08-24 | |
dc.identifier.uri | https://hdl.handle.net/2123/29461 | |
dc.description.abstract | 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 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. | en_AU |
dc.language.iso | en | en_AU |
dc.subject | COVID-19 | en_AU |
dc.subject | Travel behavior | en_AU |
dc.subject | Socio-economic segments | en_AU |
dc.subject | Mobile device location data | en_AU |
dc.subject | Fixedeffect panel regression model | en_AU |
dc.title | Quantifying the impact of COVID-19 on travel behavior in different socioeconomic segments | en_AU |
dc.type | Article | en_AU |
dc.subject.asrc | 1507 Transportation and Freight Services | en_AU |
dc.identifier.doi | 10.2139/ssrn.4195506 | |
dc.type.pubtype | Author accepted manuscript | en_AU |
dc.relation.other | 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 | |
usyd.faculty | SeS faculties schools::The University of Sydney Business School | en_AU |
usyd.department | Institute of Transport and Logistics Studies (ITLS) | en_AU |
workflow.metadata.only | No | en_AU |
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