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dc.contributor.authorBalbontin, Camila
dc.contributor.authorNelson, John D.
dc.contributor.authorHensher, David A.
dc.contributor.authorBeck, Matthew J.
dc.date.accessioned2024-05-15T22:34:51Z
dc.date.available2024-05-15T22:34:51Z
dc.date.issued2024-05-16
dc.identifier.urihttps://hdl.handle.net/2123/32561
dc.description.abstractUniversities are major trip attractors and generators in large cities, and they have a significant influence on the transport network particularly in high-density areas. The trips to and from university campuses are made by staff, students, and visitors, with an important daily rotation of people (e.g., students who leave early, arrive later, etc.). In this study, we aim to improve our understanding of the trips made to the University of Sydney campuses, one of the largest universities in Australia, through investigation of how individuals (namely, staff and students) choose to study/work from home and their modes of transport used to go to campus on differ-ent days of the week. We have collected three sets of data: one in 2022 and two in 2023, using a survey answered by both staff and students. A hybrid logit model including latent variables is estimated to understand the motivations and main drivers to work/study from home and to choose different modes of transport when attending campus.en_AU
dc.language.isoenen_AU
dc.rightsCopyright All Rights Reserveden_AU
dc.subjectUniversity travel choicesen_AU
dc.subjectsustainable modes of transporten_AU
dc.subjectwork/study from homeen_AU
dc.subjectstaff and student behaviouren_AU
dc.subjectchoice modellingen_AU
dc.titleIdentifying main drivers for students and staff members’ mode choice or to work/study from home or attend University campus: A case study in Australiaen_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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