Spatial context and the complexity of daily travel patterns: an international comparison |
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| Institution: | 1. Eindhoven University of Technology, Urban Planning Group, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands;2. Civil and Environmental Engineering, Imperial College, London SW7 2BU, UK;3. Department of Economics, Saint Mary’s University, Halifax B3H 2BU, Canada;4. Fukuoka University, Department of Architecture, Fukuoka 814-0180, Japan;5. Connekt, P.O. Box 48, 2600 AA Delft, The Netherlands;1. Room No. 815, 7th Floor Main Building, Transport Research and Injury Prevention Programme, Indian Institute of Technology, Delhi, Hauz Khas, New Delhi 110016, India;2. Department of Civil Engineering, Indian Institute of Technology, Delhi, Hauz Khas, New Delhi 110016, India;3. Department of Mechanical Engineering, Indian Institute of Technology, Delhi, Hauz Khas, New Delhi 110016, India;1. University of Pennsylvania, Department of City and Regional Planning, 210 S. 34th Street, Philadelphia, PA 19104, USA;2. University of Pennsylvania, Department of City and Regional Planning, Department of Electrical and Systems Engineering, 210 S. 34th Street, Philadelphia, PA 19104, USA;1. Norwegian University of Life Sciences, Department of Urban and Regional Planning, PO Box 5003, 1432, Ås, Norway;2. Utrecht University, Faculty of Geosciences, PO Box 80115, 3508 TC Utrecht, the Netherlands;1. Department of City and Regional Planning, Nanjing University, China;2. Department of Urban Design and Planning, University of Washington, United States;3. Department of Urban Planning, Tongji University, China;1. Tecnologico de Monterrey, Mexico;2. Universidad de Monterrey, Mexico;1. School of Environment, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China;2. State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China;3. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, United States;4. Research and Advanced Engineering, Ford Motor Company, 2101 Village Road MD-1170, Dearborn, MI 48121, United States;5. Asia Pacific Research, Ford Motor Company, Unit 4901, Tower C, Beijing Yintai Center, No. 2 Jianguomenwai Street, Beijing 100022, China |
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| Abstract: | The analysis of travel patterns is an important research topic in transportation research and urban planning. It provides the background information necessary to better understand the complex relationship between urban structure, the transportation system and household travel patterns. To what extent do travel behaviour reflect the properties of the urban structure and the transportation network, or do these patterns largely follow their own regularities? Can different patterns be observed across different space-time settings, or can common patterns be observed, largely independent from such contexts? To better understand these relationships, this paper reports on some of the findings of analyses, conducted to identify underlying structures in various aspects of travel patterns. Travel patterns, derived from activity and travel diary data collected in Portland (USA), Midlands (UK), Fukuoka (Japan), Canadian metropolitan areas, and the South-Rotterdam region (The Netherlands) are compared. The results indicate that travel patterns are largely independent from spatial setting, except for some extreme cases. |
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