Issue 1
Feb.  2014
Turn off MathJax
Article Contents
SHAN Zheng, SONG Rui, LI Tingting, CHEN Liyang. Bottleneck Identification for the Gathering and Distributing Capacity of Urban Rail Transit Station[J]. Journal of Transport Information and Safety, 2014, (1): 117-121. doi: 10.3963/j.issn.1674-4861.2014.01.024
Citation: SHAN Zheng, SONG Rui, LI Tingting, CHEN Liyang. Bottleneck Identification for the Gathering and Distributing Capacity of Urban Rail Transit Station[J]. Journal of Transport Information and Safety, 2014, (1): 117-121. doi: 10.3963/j.issn.1674-4861.2014.01.024

Bottleneck Identification for the Gathering and Distributing Capacity of Urban Rail Transit Station

doi: 10.3963/j.issn.1674-4861.2014.01.024
  • Publish Date: 2014-02-28
  • The bottleneck for the gathering and distributing capacity of urban rail transit station leads to serious passenger traffic congestion and reduces the distribution performance of stations ,which affects the efficiency and safety of passenger travel .Based on the full analysis of the connotation and cause of the gathering and distributing capacity bottle-neck of urban rail transit station ,the bottleneck identification method based on the congestion level is put forward .First-ly ,the cumulative Logistic regression based on a congestion level measurement model is built .Then ,the model is calibra-ted and validated with the survey data .Finally ,by taking Beijing Dongzhimen Rail Transit Station as the study site ,the validity of the model is verified by using Anylogic dynamic simulation .Results show that the model can accurately reflect the bottleneck of the gathering and distributing capacity of urban rail transit station in real time .

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (144) PDF downloads(1) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return