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- W564548952 abstract "The aim of this paper is to explore the impact of regional transit service on tour-based commuter travel behavior by using the Bayesian hierarchical multinomial logit (MNL) 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 (HTS) during 2007-2008, including all the travel from home to workplace in morning hours in Baltimore city. Traditional MNL model using Bayesian approach is also estimated. A comparison of the two different models shows that ignoring the spatial context can lead to an erroneous conclusion of the effects of the regional transit service on travel behavior. The results of the analysis 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 study provides insights for interpreting tour-based commuter travel behavior by using recently developed methodological approaches. The results of this study will be helpful for engineers, urban planners, and transit operators to decide the needs to improve regional transit service and spatial location efficiently." @default.
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- W564548952 date "2014-01-01" @default.
- W564548952 modified "2023-09-24" @default.
- W564548952 title "The Impact of Regional Transit Service on Tour-Based Commuter Travel Mode Choice Using Bayesian Hierarchical Modeling" @default.
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