A tour-based analysis of travel mode choice accounting for regional transit service
来源期刊：中南大学学报(英文版)2015年第1期
论文作者：DING Chuan(丁川) LIN Yao-yu(林姚宇) XIE Bing-lei(谢秉磊) ZHU Xiao-yu(朱晓雨) Sabyasachee Mishra
文章页码：402 - 408
Key words：transit service; travel mode choice; spatial heterogeneity; Bayesian hierarchical model; transit accessibility; transit connectivity; tour
Abstract: The aim of this work is to explore the impact of regional transit service on tour-based commuter travel behavior by using the Bayesian hierarchical multinomial logit model, accounting for the spatial heterogeneity of the people living in the same area. With two indicators, accessibility and connectivity measured at the zone level, the regional transit service is captured and then related to the travel mode choice behavior. The sample data are selected from Washington-Baltimore Household Travel Survey in 2007, including all the trips from home to workplace in morning hours in Baltimore city. Traditional multinomial logit model using Bayesian approach is also estimated. A comparison of the two different models shows that ignoring the spatial context can lead to a misspecification of the effects of the regional transit service on travel behavior. The results reveal that improving transit service at regional level can be effective in reducing auto use for commuters after controlling for socio-demographics and travel-related factors. This work provides insights for interpreting tour-based commuter travel behavior by using recently developed methodological approaches. The results of this work will be helpful for engineers, urban planners, and transit operators to decide the needs to improve regional transit service and spatial location efficiently.
DING Chuan(丁川)1, LIN Yao-yu(林姚宇)2, XIE Bing-lei(谢秉磊)2, ZHU Xiao-yu(朱晓雨)3, Sabyasachee Mishra4
(1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;
2. Shenzhen Key Laboratory of Urban Planning and Decision Making Simulation
(Shenzhen Graduate School, Harbin Institute of Technology), Shenzhen 518055, China;
3. Department of Civil Engineering, University of Arizona, Tucson 85721, USA;
4. Department of Civil Engineering, University of Memphis, Memphis 38152, USA)
Abstract:The aim of this work is to explore the impact of regional transit service on tour-based commuter travel behavior by using the Bayesian hierarchical multinomial logit model, accounting for the spatial heterogeneity of the people living in the same area. With two indicators, accessibility and connectivity measured at the zone level, the regional transit service is captured and then related to the travel mode choice behavior. The sample data are selected from Washington-Baltimore Household Travel Survey in 2007, including all the trips from home to workplace in morning hours in Baltimore city. Traditional multinomial logit model using Bayesian approach is also estimated. A comparison of the two different models shows that ignoring the spatial context can lead to a misspecification of the effects of the regional transit service on travel behavior. The results reveal that improving transit service at regional level can be effective in reducing auto use for commuters after controlling for socio-demographics and travel-related factors. This work provides insights for interpreting tour-based commuter travel behavior by using recently developed methodological approaches. The results of this work will be helpful for engineers, urban planners, and transit operators to decide the needs to improve regional transit service and spatial location efficiently.
Key words:transit service; travel mode choice; spatial heterogeneity; Bayesian hierarchical model; transit accessibility; transit connectivity; tour
