Airline revenue management is used to study the fare strategy and revenue optimization method of railway passenger transport in the context of fare reform. Based on income and seat management, this paper aims to build a railway passenger ticket dynamic pricing model with maximum revenue for the railway operation department. At the same time, the optimal seat selection method is proposed for the seat management strategy. Finally, the comparison between the standard particle swarm optimization algorithm and elite particle swarm optimization algorithm verifies that the dynamic pricing and optimal seat selection method can be used to increase the profit.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Railway Passenger Ticket Pricing and Seat Management Based on Revenue Management


    Beteiligte:
    Liu, Yingke (Autor:in) / Jing, Yun (Autor:in)

    Kongress:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Erschienen in:

    CICTP 2019 ; 3160-3170


    Erscheinungsdatum :

    2019-07-02




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Railway passenger ticket pricing policy portfolio

    Qin, Mao / Li, Yanjin / Che, Guopeng | IEEE | 2016




    Setting Price to Railway Passenger Ticket

    Liu, Huilin / Tao, Siyu / Zha, Weixiong | ASCE | 2007


    Setting Price to Railway Passenger Ticket

    Liu, H. / Tao, S. / Zha, W. et al. | British Library Conference Proceedings | 2007