Using data collected from the automatic fare collection (AFC) systems of the Nanjing rail network on weekdays during one week, this paper researches the characteristics of Nanjing passenger flow, including: 1) travel peak time distribution over the whole network; 2) passenger travel time, travel distance, inferred distribution of transfer times on the whole network; 3) daily inbound and outbound passenger volume, and peak hour passenger volume; and 4) stations that suffer from maximum passenger flow pressure in whole day and in peak hours for each line, and distribution characteristics of hourly passenger volumes at typical stations. We expect that studying the passenger flow characteristics on Nanjing rail network, in lines, and at stations, can provide a theoretical foundation for the determination of key parameters values for railway transit passenger flow forecasting and the reasonable justification for forecasting results.


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    Titel :

    Analysis of Rail Transit Passenger Flow in Nanjing


    Beteiligte:
    Zhao, Xing (Autor:in) / Ji, Kang (Autor:in) / Chen, Ji-huai (Autor:in) / Ren, Gang (Autor:in)

    Kongress:

    18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China


    Erschienen in:

    CICTP 2018 ; 1202-1211


    Erscheinungsdatum :

    2018-07-02




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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