Identifying main drivers for students and staff members’ mode choice or to work/study from home or attend University campus: A case study in Australia
Access status:
Open Access
Type
Working PaperAbstract
Universities 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 ...
See moreUniversities 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.
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See moreUniversities 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.
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Date
2024-05-16Licence
Copyright All Rights ReservedFaculty/School
The University of Sydney Business SchoolDepartment, Discipline or Centre
Institute of Transport and Logistics StudiesShare