The interaction between passenger flow and influencing factors is a key issue in rail transit planning. This paper uses the spatial econometric model to delimit the multi-level impact zone of the rail station based on the multi-mode connection mode, and explores the multi-level effect of the factors influencing passenger flow in the urban rail transit station from three aspects: built environment, external connectivity and multi-mode traffic. The results show that the population, the number of posts, the office building area, the mixed degree of land use, the number of schools, the number of bus lines, and the distance from the station to the city center are the significant influencing factors of rail passenger flow. There are different decisive factors affecting rail passenger flow in the multi-stage area, and the degree of effect is obviously different.


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    Titel :

    Multilevel effects of factors influencing passenger flow in urban rail transit stations based on spatial metrology model


    Beteiligte:
    Limongi, Tania (Herausgeber:in) / Lin, Hong (Herausgeber:in) / Mao, Monuo (Autor:in) / Deng, Mingying (Autor:in)

    Kongress:

    Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023) ; 2023 ; Wuhan, China


    Erschienen in:

    Proc. SPIE ; 12983 ; 129832N


    Erscheinungsdatum :

    15.01.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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