The influence of the built environment on metro ridership has important significance for improving the integration of urban and rail transit development. This paper investigates the influence of the built environment on ridership in Nanjing, China. The study started with point of interest (POI) data mining and auto fare collection (AFC) data acquisition. The spatial-temporal distribution characteristics of subway stations and the peak passenger flow characteristics of weekday travel were analyzed. Based on the qualitative analysis of rail transit and the built environment, the data set was established from three aspects: land use factors, accessibility factors, and station attributes. A multiple linear regression model was used to analyze the influence of the built environment factors on ridership. Six factors were found to be significantly related to ridership: employment, CBD dummy variable, number of bus lines, the distance to the destination, terminal station dummy variable, and length of the road network.


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    Title :

    Research on the Influence of Built Environment on Ridership: Insights from Nanjing


    Contributors:
    Tai, Jinghua (author) / Yang, Min (author) / Li, Guoqiang (author) / Gao, Zhao (author)

    Conference:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Published in:

    CICTP 2020 ; 2987-2999


    Publication date :

    2020-12-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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