As an important hub port along the southeast coast of China, Xiamen Port provides strong support for the development of regional trade, and the sea-rail intermodal transport has strong potential in port consolidation and hinterland expansion. This paper uses the grey GM (1, 1) model and Markov model to build a prediction model for the sea-rail intermodal throughput of Xiamen port, and conducts statistical analysis on the sea-rail intermodal throughput data of Xiamen port from 2014 to 2021. The results show that the average relative error of the improved model is reduced from 15.66% to 6.25%, which greatly improves the accuracy of the improved model and increases the credibility of the model of sea-rail intermodal throughput of Xiamen Port. This paper predicts the development trend of the sea-rail intermodal throughput of Xiamen port in the next three years, providing a certain basis for the construction of the sea-rail intermodal transport market in Xiamen.


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    Titel :

    Forecast of sea-rail throughput of Xiamen Port based on improved grey prediction model


    Beteiligte:
    Tang, Huiyi (Autor:in) / Shi, Jingbin (Autor:in) / Liu, Xiaojia (Autor:in)

    Kongress:

    Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022) ; 2022 ; Guangzhou,China


    Erschienen in:

    Proc. SPIE ; 12302


    Erscheinungsdatum :

    2022-11-23





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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