Constraints affecting mode choices by morning car commuters |
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Affiliation: | 1. Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu, 610064, PR China;2. Department of Civil and Environmental Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, United States;1. Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, No. 500 Dongchuan Road, Shanghai 200241, China;2. School of Geographic Sciences, East China Normal University, No. 500 Dongchuan Road, Shanghai 200241, China;3. School of Tourism Management, Sun Yat-sen University, No. 135 Xingangxi Road, Guangzhou 510275, China;4. Department of Urban and Economic Geography, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;1. Friedrich-Schiller-Universität Jena, Lehrstuhl für Operations Management, Carl-Zeiß-Straße 3, Jena 07743, Germany;2. Bergische Universität Wuppertal, Professur für BWL, insbesondere Produktion und Logistik, Rainer-Gruenter-Str. 21, Wuppertal 42119, Germany;3. Friedrich-Schiller-Universität Jena, Lehrstuhl für Management Science, Carl-Zeiß-Straße 3, Jena 07743, Germany |
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Abstract: | In New Zealand as elsewhere, there is an increasing interest in alleviating congestion on the road transport network to improve economic productivity, reduce pollution, and to use the transport network more effectively. Governments enact various policies to encourage car drivers to change their behaviour, but often find that the full impact is not reached. We propose that car drivers have constraints influencing their mode choice for the morning peak period trip (e.g. needing to transport children, needing a car for work during the day). A stated preference experiment conducted in the three largest New Zealand urban areas not only quantifies the likely impact of a wide range of policy tools (both ‘sticks’ discouraging car use, and ‘carrots’ encouraging alternative modes) for each area, but also identifies many significant constraints. |
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Keywords: | Driver behaviour Travel behaviour Stated preference Constraints Peak period Mode choice Urban Policy Demand management |
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