The configuration of service facilities, such as ticket vending machines, staffed ticket booths, automatic fare gates, and escalators, is an important issue for the plan and design of rail transit stations. Reasonable configuration of service facilities is based on a good understanding of the passenger traffic characteristics of such service facilities, which are affected by passenger characteristics, station types, and facility performance. To study the passenger traffic characteristics of service facilities, five stations are selected in Shanghai, and their passenger traffic data are collected and analyzed. In this study, the results indicate that service-time frequencies of ticket vending machines and staffed ticket booths follow Weibull distribution and exponential distribution, respectively, and that the headway of passengers passing the automatic fare gate under ideal conditions follows normal distribution. According to the service time and headway distributions of ticket-selling facilities and automatic fare gates, the derived capacities of ticket vending machines, staffed ticket booths, and automatic fare gates are 137, 186, 253, 368, and 1 , 500 passengers / h , respectively. In addition, theoretical analysis and field survey of escalators show that escalator capacity is between 4,700 and 5 , 200 passengers / h / m . It is found that the capacities of ticket-selling facilities and escalators in this study are far lower than those in China’s design codes. The capacity of automatic fare gates in this study is a little lower than that in China’s code; however, it is a little greater than that from the corresponding U.S. capacity manual.


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    Titel :

    Passenger Traffic Characteristics of Service Facilities in Rail Transit Stations of Shanghai


    Beteiligte:
    Liao, Mingjun (Autor:in) / Liu, Gang (Autor:in) / Qiu, Tony Z. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    15.01.2013


    Format / Umfang :

    72013-01-01 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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