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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_AU
dc.language.isoenen_AU
dc.rightsCopyright All Rights Reserveden_AU
dc.subjectWorking from homeen_AU
dc.subjecthybrid work locationen_AU
dc.subjectcommuting activityen_AU
dc.subjectCOVID-19en_AU
dc.subjectmode choice modelen_AU
dc.subjectsurvey dataen_AU
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_AU
dc.typeWorking Paperen_AU
dc.subject.asrcANZSRC FoR code::35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES::3509 Transportation, logistics and supply chainsen_AU
usyd.facultySeS faculties schools::The University of Sydney Business Schoolen_AU
usyd.departmentInstitute of Transport and Logistics Studiesen_AU
workflow.metadata.onlyNoen_AU


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