TY - JOUR
T1 - A Joint Modeling Analysis of Passengers' Intercity Travel Destination and Mode Choices in Yangtze River Delta Megaregion of China
AU - Wang, Yanli
AU - Wu, Bing
AU - Dong, Zhi
AU - Ye, Xin
N1 - Funding Information:
This research is funded by the National Natural Science Foundation of China. The project title is Research on Transportation Pattern of Urban Agglomeration based on the Travel Service Chain (no. 51178346)
Publisher Copyright:
© 2016 Yanli Wang et al.
PY - 2016
Y1 - 2016
N2 - Joint destination-mode travel choice models are developed for intercity long-distance travel among sixteen cities in Yangtze River Delta Megaregion of China. The model is developed for all the trips in the sample and also by two different trip purposes, work-related business and personal business trips, to accommodate different time values and attraction factors. A nested logit modeling framework is applied to model trip destination and mode choices in two different levels, where the lower level is a mode choice model and the upper level is a destination choice model. The utility values from various travel modes in the lower level are summarized into a composite utility, which is then specified into the destination choice model as an intercity impedance factor. The model is then applied to predict the change in passenger number from Shanghai to Yangzhou between scenarios with and without high-speed rail service to demonstrate the applicability. It is helpful for understanding and modeling megaregional travel destination and mode choice behaviors in the context of developing country.
AB - Joint destination-mode travel choice models are developed for intercity long-distance travel among sixteen cities in Yangtze River Delta Megaregion of China. The model is developed for all the trips in the sample and also by two different trip purposes, work-related business and personal business trips, to accommodate different time values and attraction factors. A nested logit modeling framework is applied to model trip destination and mode choices in two different levels, where the lower level is a mode choice model and the upper level is a destination choice model. The utility values from various travel modes in the lower level are summarized into a composite utility, which is then specified into the destination choice model as an intercity impedance factor. The model is then applied to predict the change in passenger number from Shanghai to Yangzhou between scenarios with and without high-speed rail service to demonstrate the applicability. It is helpful for understanding and modeling megaregional travel destination and mode choice behaviors in the context of developing country.
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U2 - 10.1155/2016/5293210
DO - 10.1155/2016/5293210
M3 - Article
AN - SCOPUS:84982843534
SN - 1024-123X
VL - 2016
JO - Mathematical Problems in Engineering
JF - Mathematical Problems in Engineering
M1 - 5293210
ER -