Chapter
Aug 12, 2020
Analysis on the Influencing Factors of Traffic Mode Choice Behavior for Regional Travel in China
Authors: Di Miao [email protected], Wei Wang [email protected], Yun Xiang [email protected], Xuedong Hua [email protected], and Weijie Yu [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
The aim of this paper is to analyze the influencing factors of traffic mode choice behavior for regional travel. Five main mode including high-speed rail, ordinary railway, airplane, car and coach was considered to build regional travel mode choice models based on multiple Logit model and Nested Logit model. The model is calibrated with the online survey results and data collected by crawler technology. The modeling results show that: The accuracy of both models is acceptable, with more than 80%, among which the accuracy of NL model is higher. In regional travel, traveler’s choice behavior can be affected by more factors compare with in the city. Distance, psychological needs of travelers and the economic development level of the departure and destination have an important impact on the choice behavior in regional travel.
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Published In
CICTP 2020
Pages: 3969 - 3980
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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Authors
Affiliations
1Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Dong Nan Da Xue Rd. #2, Nanjing 211189, China. Email: [email protected]
2Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Dong Nan Da Xue Rd. #2, Nanjing 211189, China. Email: [email protected]
3College of City Construction, Jiangxi Normal Univ., Zi Yang Rd. #99, Nanchang 211189, China. Email: [email protected]
4Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Dong Nan Da Xue Rd. #2, Nanjing 211189, China. Email: [email protected]
5Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Dong Nan Da Xue Rd. #2, Nanjing 211189, China. Email: [email protected]
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