School travel mode choice in Beijing,China |
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| Institution: | 1. Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, MN 55455, USA;2. University of Sydney, School of Civil Engineering, Sydney, NSW 2006, Australia;1. Centre for Hip Health and Mobility, 7/F – 2635 Laurel Street, Vancouver, BC, Canada V5Z 1M9;2. Department of Family Practice, Faculty of Medicine, University of British Columbia, 3rd Floor, 5950 University Boulevard, Vancouver, BC, Canada V6T 1Z3;3. Vancouver Fraser Medical Program, Faculty of Medicine, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC, Canada V6T 1Z3;4. Department of Pediatrics, Faculty of Medicine, 1F/4480 Oak Street, BC Children''s Hospital, Vancouver, BC, Canada V6H 3V4;5. School of Exercise Science, Physical and Health Education, University of Victoria, 3800 Finnerty Road, Victoria, BC, Canada V8P 5C2;6. Department of Orthopaedics, Faculty of Medicine, University of British Columbia, 3114 ? 910 West 10th Avenue, Vancouver, BC, Canada V5Z 1M9;1. UCL Energy Institute, University College London, Central House, 14 Upper Woburn Place, WC1H 0NN London, UK;2. The University of Texas at Austin, Department of Civil, Architectural and Environmental Engineering, 301 E. Dean Keeton St. Stop C1761, Austin, TX 78712, United States;3. Department of Shipping, Trade and Transport, University of the Aegean, Korai 2a, Chios 82100, Greece;4. King Abdulaziz University, Jeddah 21589, Saudi Arabia;1. Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Ontario, Canada;2. School of Health and Human Performance, Dalhousie University, Halifax, Nova Scotia, Canada;3. Department of Geography, University of Toronto Mississauga, Toronto, Ontario, Canada;1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, PR China;2. George Mason University, Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, 4400 University Drive, MS6C1, Fairfax, VA 22030, USA;1. Auckland University of Technology, School of Sport and Recreation, New Zealand;2. Massey University, SHORE and Whāriki Research Centre, New Zealand;3. The University of Auckland, School of Nursing, New Zealand |
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| Abstract: | This study explores school travel mode choice behavior of 7–18 year-old students in Beijing, China, based on the data collected in Fifth Travel Survey of Beijing Inhabitants. The integration of tree-based and logit-based models is employed to examine the influence of key variables on school travel mode choice. In particular, the tree-based model is used to preliminarily select the traits which have a statistical effect on mode choice, and the logit-based model is used to provide deeper understanding of the underlying decision processes and the correlation effects of the variables. Results show that car ownership, poor walking/cycling environment, and adults' convenience for escorting students significantly stimulate the use of cars in school commuting. Students are more inclined to choose cars when their departure time is at rush hour compared to the other time. Moreover, the longer distance encourages the use of motorized transport, where the households with local hukou (usually related to the car ownership and other welfares) are more willing to drive their children to school. A number of recommendations on car restraint, sustainable travel environment improvement, different working hour implementing, and educational resources layout for the encouragement and promotion of sustainable travel practices are lastly proposed. |
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