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dc.contributor.authorHensher, David A.
dc.contributor.authorBalbontin, Camila
dc.contributor.authorBeck, Matthew J.
dc.contributor.authorWei, Edward
dc.date.accessioned2024-01-17T23:55:58Z
dc.date.available2024-01-17T23:55:58Z
dc.date.issued2024-01-18
dc.identifier.urihttps://hdl.handle.net/2123/32107
dc.description.abstractAs COVID-19 slowly dissipated after 30 months since March 2020, working from home (WFH) continues to be popular, with support from notable numbers of employees and employers. With growing evidence that we have either reached, or appear to be close to, a level of WFH to some extent that might be described as an equilibrium outcome going forward, we need to update any travel behaviour response models that have been developed during the passage of the pandemic. This paper sets out a commuter model for each day of the week for the Greater Sydney Metropolitan Area as of September 2022 where the alternative responses are to not work, WFH, or commute by one of ten modes available. Given the probability of WFH obtained from a mixed logit model, we construct a mapping equation to establish the sources of statistical variance by origin and destination location that influence the incidence of WFH. The evidence is used as the basis of commenting on what this means for longer-term structural changes on network performance, the likely move to a greater focus on living locally, and the need or otherwise for employers to retain office space. A significant return to the office has recently been promoted by some employers, and we comment on this as to what it might mean for the future of a hybrid working location model.en
dc.language.isoenen
dc.rightsCopyright All Rights Reserveden
dc.subjectWorking from homeen
dc.subjecthybrid work locationen
dc.subjectcommuting activityen
dc.subjectCOVID-19en
dc.subjectmode choice modelen
dc.subjectsurvey dataen
dc.titleCommuting mode choice and work from home in the later stages of COVID-19: Consolidating a future focussed prediction tool to inform transport and land use planning.en
dc.typeWorking Paperen
dc.subject.asrcANZSRC FoR code::35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES::3509 Transportation, logistics and supply chainsen
usyd.facultySeS faculties schools::The University of Sydney Business Schoolen
usyd.facultyThe University of Sydney Business School, Institute of Transport and Logistics Studies (ITLS)
usyd.departmentInstitute of Transport and Logistics Studiesen
workflow.metadata.onlyNoen


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