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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis on the Influencing Factors of Traffic Mode Choice Behavior for Regional Travel in China


    Contributors:
    Miao, Di (author) / Wang, Wei (author) / Xiang, Yun (author) / Hua, Xuedong (author) / Yu, Weijie (author)

    Conference:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Published in:

    CICTP 2020 ; 3969-3980


    Publication date :

    2020-08-12




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain

    Xiaowei Li / Siyu Zhang / Yao Wu et al. | DOAJ | 2021

    Free access

    Does regional travel time unreliability influence mode choice?

    Sweet, Matthias N. / Chen, Mengke | Online Contents | 2011


    Does regional travel time unreliability influence mode choice?

    Sweet, Matthias N. / Chen, Mengke | Online Contents | 2011


    School travel mode choice in Beijing, China

    Zhang, Rui / Yao, Enjian / Liu, Zhili | Elsevier | 2017