Active commuting in a university setting: Assessing commuting habits and potential for modal change |
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| Institution: | 1. School of Population Health, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia;2. Director Cardiovascular Health, Heart Foundation of Australia, Western Australian Division, 334 Rokeby Road, Subiaco, WA 6008, Australia;1. Institute of Transportation Studies, University of California at Davis, One Shields Ave, Davis, CA 95616, United States;2. Department of Environmental Science and Policy, University of California at Davis, One Shields Ave, Davis, CA 95616, United States;1. University of the Basque Country (UPV/EHU), Faculty of Engineering, Gipuzkoa, Department of Mechanical Engineering, Plaza Europa 1, 20018 Donostia-San Sebastián, Spain;2. University of the Basque Country (UPV/EHU), Faculty of Engineering in Bilbao, Department of Graphic Design and Engineering Projects, Alameda Urquijo s/n, 48013 Bilbao, Spain;1. Department of Geography and Planning, University of Toronto St. George, 100 St. George St., Toronto, Ontario M5S 3G3, Canada;2. Department of Human Geography, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada;1. Transport Research Centre – TRANSyT, Technical University of Madrid, C/Profesor Aranguren, 3, 28040 Madrid, Spain;2. Center for Geospatial Analytics, Department of Parks, Recreation and Tourism Management, North Carolina State University, 2820 Faucette Dr., Raleigh, NC 27695, USA;3. Department of Geography, Institute of Environmental Science and Technology (ICTA), Autonomous University of Barcelona (Spain), Campus de Bellaterra, Edifici B, 08193 Bellaterra, Barcelona, Spain |
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| Abstract: | This paper describes the results of an online survey that examined commuting patterns, potential for change and barriers and motivators affecting transport decisions in a University population (n=1040 students, n=1170 staff). Overall, 21.5% of staff and 46.8% of students at The University of Western Australia regularly used active modes, and potentially an additional 30% of staff and students would switch to active modes. The results suggested that reducing barriers to using active modes, in particular reducing actual and perceived travel time by bus and bicycle would have the greatest impact on commuting patterns. Some policy applications appeared to hold particular promise, including an implementation of a subsidised public transport pass (U-Pass), increased student housing on or near campus, increased cost of parking, and improved bus services and cycle networks. |
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