Previous research on urban rail transit (URT) evolution mainly focused on network topology, neglecting ridership attributes. This study extracts ridership and network topology indicators from Chinese URT data. Employing a self-organizing mapping neural network model, it divides China’s URT development into four stages. The initial stage and the development stage form the framework of URT network. The network diameter reaches the maximum in the networked operation stage. In the mature stage, URT network densification occurs alongside a significant increase in resident ridership. It is also found that each network indicator has a significant nonlinear relationship with ridership attributes. These findings are of guiding significance for urban planners to accurately understanding URT’s future development and rational network planning and construction.


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    Title :

    Unveiling the evolution of urban rail transit network: considering ridership attributes


    Additional title:

    Y. ZHAO ET AL.
    TRANSPORTATION LETTERS


    Contributors:
    Zhao, Yunpeng (author) / Zhu, Zhenjun (author) / Zhang, Yong (author) / Yang, Yimian (author) / Guo, Yuliang (author) / Zhou, Wei (author)

    Published in:

    Transportation Letters ; 17 , 2 ; 310-321


    Publication date :

    2025-02-07


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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