This study uses the important container rail-sea intermodal transport areas in China as the research area, and gets data through visiting research and network query to investigate the change in container rail-sea intermodal transport demand under the new development pattern. The generation and distribution of container freight in the source area are investigated using the 'four-stage' method. The market competitiveness of rail-sea intermodal transport is then investigated and assessed, and the Logit-based share rate model is developed to forecast the flow and direction of container rail-sea intermodal transport in the source area. Finally, the market share rate of container rail-sea intermodal transportation under various situations is investigated by varying the price and capacity level of container transportation.


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    Titel :

    Market demand forecasting for container rail-sea express line transportation


    Beteiligte:
    Nayyar, Anand (Herausgeber:in) / Kolivand, Hoshang (Herausgeber:in) / Han, Shoukan (Autor:in)

    Kongress:

    Fourth International Conference on Signal Processing and Computer Science (SPCS 2023) ; 2023 ; Guilin, China


    Erschienen in:

    Proc. SPIE ; 12970 ; 1297019


    Erscheinungsdatum :

    21.12.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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