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Behavioral shifts after a fatal rapid transit accident: A multinomial logit model
Affiliation:1. Department of Civil and Environmental Engineering, Virginia Tech, 7054 Haycock Road, Falls Church, VA 22043, USA;2. School of Public and International Affairs, Virginia Tech, 1021 Prince Street, Alexandria, VA, USA;1. Department of Econometrics, Riskcenter-IREA, Universitat de Barcelona, Av. Diagonal, 690, 08034 Barcelona, Spain;1. Urban Informatics Research Lab, School of Design, Creative Industries Faculty, Brisbane, Australia;2. Centre for Accident Research and Road Safety Queensland (CARRS-Q), Faculty of Health, Brisbane, Australia;3. Institute for Future Environments, Queensland University of Technology, Brisbane, Australia;1. Department of Environmental Science and Policy, University of California at Davis, Davis, CA 95616, USA;2. Department of Public Health Sciences, University of California at Davis, Davis, CA 95616, USA;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. Department of Civil Engineering, University of New Mexico, Albuquerque, NM 87131, USA;2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;3. School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China;4. Department of Civil and Environmental Engineering, Rutgers University, New Brunswick, NJ 08901, USA;5. Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712, USA
Abstract:The Washington, DC Metrorail collision in 2009 presents a rare opportunity to study rapid transit passengers’ responses to a highly publicized rail incident entailing injuries and fatalities. To investigate behavioral responses to the accident, particularly mode shifts, we conducted a web-based survey of approximately 300 commuters traveling on Metrorail after the accident who had used Metrorail in the 6 months prior to the collision. The most common response to the accident was avoidance of the first and last train cars. Some respondents substituted some Metrorail trips with other modes or took fewer Metrorail trips. To investigate factors influencing these behavioral responses, we employ multinomial logit models to explore the statistical association between respondent and travel characteristics and the choice among the options of (1) making no changes, (2) avoiding certain seating locations, (3) changing modes of transportation, and (4) changing both seating locations and modes of transportation. Results suggest that travel inertia, specifically mode inertia, exists, in that respondents generally prefer not to make mode or travel choice changes. However, some mode characteristics, such as cost differences and frequent delays have a statistically significant association with mode switching. Gender and the presence of children in the household correlate with the option selected.
Keywords:Transit  Fatal accident  Behavior  Travel inertia
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