A tour-based analysis of travel mode choice accounting for regional transit service
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 connecti...
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Published in | Journal of Central South University Vol. 22; no. 1; pp. 402 - 408 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Central South University
01.01.2015
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Online Access | Get full text |
ISSN | 2095-2899 2227-5223 |
DOI | 10.1007/s11771-015-2535-5 |
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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. |
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AbstractList | 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. |
Author | Xie, Bing-lei Mishra, Sabyasachee Ding, Chuan Zhu, Xiao-yu Lin, Yao-yu |
Author_xml | – sequence: 1 givenname: Chuan surname: Ding fullname: Ding, Chuan organization: School of Transportation Science and Engineering, Beihang University – sequence: 2 givenname: Yao-yu surname: Lin fullname: Lin, Yao-yu email: linyaoyuhit@163.com organization: Shenzhen Key Laboratory of Urban Planning and Decision Making Simulation, Shenzhen Graduate School, Harbin Institute of Technology – sequence: 3 givenname: Bing-lei surname: Xie fullname: Xie, Bing-lei organization: Shenzhen Key Laboratory of Urban Planning and Decision Making Simulation, Shenzhen Graduate School, Harbin Institute of Technology – sequence: 4 givenname: Xiao-yu surname: Zhu fullname: Zhu, Xiao-yu organization: Department of Civil Engineering, University of Arizona – sequence: 5 givenname: Sabyasachee surname: Mishra fullname: Mishra, Sabyasachee organization: Department of Civil Engineering, University of Memphis |
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Cites_doi | 10.1198/004017005000000517 10.1007/s11116-013-9476-3 10.3141/1835-01 10.3141/2143-01 10.1007/s11771-012-1043-0 10.1023/A:1012973004152 10.1016/j.apgeog.2011.02.001 10.1007/s11116-004-7962-3 10.1068/a41372 10.1007/s11116-010-9309-6 10.1023/A:1024768007730 10.1016/j.socnet.2004.11.008 10.1068/a34159 10.1016/S0966-6923(97)00036-7 10.1016/S0191-2615(99)00038-7 10.1007/s11116-013-9462-9 10.1016/j.trd.2013.03.006 10.1007/s11116-007-9153-5 10.1201/9781584888413.ch9 |
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Keywords | Bayesian hierarchical model transit accessibility transit connectivity transit service travel mode choice spatial heterogeneity tour |
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