The load capacity of urban rail transit station is of great significance to provide reference in station design and operation management. However, it is difficult to carry out quantitative calculation quickly and accurately due to the complex interaction among passenger behaviors, facility layout, and the limit capacity of single facility. In this paper, the association network of facilities is set up based on the analysis of passenger service chain in station. Then the concept of cascading failure is introduced to the dynamic calculation model of load capacity, which is established on the user-equilibrium allocation model. The solution algorithm is optimized with node attack strategy of complex network to effectively reduce the computational complexity. Finally, a case study of Lujiabang Road Station in Shanghai is carried out and compared with the simulation results of StaPass, verifying the feasibility of this approach. The proposed method can not only search for the bottleneck of capacity, but also help to trace the loading variation of facilities network in different scenarios, providing theoretical supports on passenger flow organization.


    Access

    Download


    Export, share and cite



    Title :

    Calculation Method for Load Capacity of Urban Rail Transit Station considering Cascading Failure


    Contributors:
    Jiajun Huang (author) / Feng Zhou (author) / Mengru Xi (author)


    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Vulnerability Analysis of Urban Rail Transit Network considering Cascading Failure Evolution

    Ranran Sun / Guangyu Zhu / Bing Liu et al. | DOAJ | 2022

    Free access

    Urban Rail Transit Station Carrying Capacity Analysis and Calculation

    Dong, Hanxuan / Li, Qiangqiang / Qu, Xu et al. | ASCE | 2019



    Urban rail transit station interval time calculation method

    TANG JINJIN / DONG QIUHAN / YANG XINZHENG et al. | European Patent Office | 2024

    Free access