The aviation leading integrated passenger transport hub is an important place for passenger flow collection and distribution, as well as an important node of various transportation networks. However, there are some problems such as the mismatch between the capacity of some hubs and connecting lines, and the disharmony between various transportation systems. Starting from the calculation of passenger arrival capacity of air transport, passenger transport capacity of railway, connecting capacity of other transportation modes in the city, matching degree calculation and bottleneck identification, this study aims to grasp the variation rule of transport capacity of various transportation modes in the hub and provide decision-making basis for reasonable allocation of transport capacity resources in the subsequent hub. In terms of empirical analysis, this study chooses Shijiazhuang Zhengding International Airport as an example. The research results show that the matching degree of some transportation modes at Shijiazhuang Zhengding International Airport reaches the bottleneck standard (≥0.90) in some time periods, especially during 22:00–24:00, presenting a serious capacity bottleneck. Based on this result, some optimization suggestions are given to improve the hub transport capacity matching degree.


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    Titel :

    Research on Capacity Matching Degree Calculation and Bottleneck Identification of Aviation Leading Integrated Passenger Transport Hub


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wuhong (Herausgeber:in) / Jin, Lisheng (Herausgeber:in) / Tan, Haiqiu (Herausgeber:in) / Hu, Hangqi (Autor:in) / Chen, Jun (Autor:in) / Xue, Feng (Autor:in)

    Kongress:

    International Conference on Green Intelligent Transportation System and Safety ; 2022 ; Qinghuangdao, China September 16, 2022 - September 18, 2022



    Erscheinungsdatum :

    2024-05-22


    Format / Umfang :

    18 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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