In a large metro network, passenger path selection is a key component of the study of passenger flow performance in complex metro networks. The Logit model has been widely welcomed by scholars due to its simple and practical characteristics. However, existing studies often ignore the impact of congestion, transfer on passenger path selection. Therefore, this paper proposes a passenger path selection model considering multiple factors. Firstly, this paper analyzes the main factors that affect passenger path selection behavior by questionnaire. Then, the discrete selection model considering the ride time, transfer time, transfer times, congestion degree is established, and the calibration method of parameters is given. Finally, the validity of the model is verified by taking Suzhou rail transit as an example. The results show that the multi-factor model proposed in this paper can estimate the passenger path selection behavior more accurately.


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    Titel :

    Modeling on passenger path selection behavior of metro network considering multiple factors


    Beteiligte:
    Sun, Yanan (Herausgeber:in) / Jiang, Bin (Herausgeber:in) / Zhi, Kun (Autor:in) / Wang, Xiaoxi (Autor:in) / Qu, Xiaoyan (Autor:in) / Shi, Yunzhe (Autor:in)

    Kongress:

    Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023) ; 2023 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 12923 ; 1292321


    Erscheinungsdatum :

    08.11.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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