A random utility maximization (RUM) based measure of accessibility to transit: Accurate capturing of the first-mile issue in urban transit |
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| Institution: | 1. Department of Civil Engineering, University of Toronto, 35 St George Street, Toronto, ON, M5S1A4, Canada;2. Transportation Consultant at Arup, 2 Bloor St E, Toronto, ON, M4W 1A8, Canada;1. Sauder School of Business, University of British Columbia, 2053 Main Mall, Vancouver, BC V6T 1Z2, Canada;2. School of Commerce, University of Southern Queensland, Toowoomba, Queensland 4350, Australia;3. School of Economics, Faculty of Economics and Management, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China;2. Distinguished Professor of Beijing University of Technology, Shandong Jiaotong University and Chan''an University, China;3. PATH Program, The University of California at Berkeley, Richmond Field Station, Bldg. 177, MC 3580, 1357 S. 46th Street, Richmond, CA 94804, USA;4. National Risk Management Research Laboratory, US EPA, Office of Research and Development, Cincinnati, OH 45268, USA;1. International Center for Adaptation and Design (iAdapt), School of Landscape Architecture and Planning, College of Design, Construction and Planning, University of Florida, USA;2. Department of Electrical and Computer Engineering, University of Florida, Arch Building, P.O. Box 115706, Gainesville, FL 32611-5706 USA;3. School of Landscape Architecture and Planning, College of Design, Construction and Planning, University of Florida, Arch Building, P.O. Box 115706, Gainesville, FL 32611-5706 USA;4. China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, China;5. School of Architecture, Tsinghua University, Beijing, 100084, China;1. College of Geography and Tourism, Chongqing Normal University, Chongqing, China;2. Student Pilot Management Center, Hainan Airlines Co., LTD, Haikou, China;3. Department of Educational Information and Statistics, National Institute of Education Sciences, Beijing, China;1. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China;2. Department of Geographic Information Science, Nanjing University, Nanjing, China;3. Collaborative Innovation Center for the South Sea Studies, Nanjing University, Nanjing, China;4. Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, China;5. Department of Civil and Environmental Engineering, University of California, Davis, CA, United States;6. Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing, China |
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| Abstract: | The paper presents a random utility-based measure of accessibility to explain the first-mile issue in urban transit. A discrete access stop/station location choice model is used to calculate the expected maximum utility of transit access choices as the measure of the proposed access to transit measurement approach. It captures the effects of changes in various personal, sociodemographic, transportation and land-use variables on access to urban transit that are overlooked by conventional approaches of accessibility measurements (count-based cumulative opportunities measures and gravity-based measures). The proposed accessibility to transit measurement approach is empirically measured for the Greater Toronto Area and is integrated into an operational tool programmed in a GIS-based traffic assignment software, TransCAD 7.0. This allows comparing it to the conventional measures, and the results reveal that the conventional measures tend to over-estimate access to transit. |
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