Empirical Analysis of Ultra-peak Coefficient of Inbound Passenger Flow in Guangzhou Metro Station

Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 3

Abstract

[Objective] Ultra-peak passenger flow is an important parameter for designing the capacity of various parts in urban rail transit station, which is obtained by multiplying the peak-hour passenger flow by the ultra-peak coefficient. However, there is no appropriate method to determine the ultra-peak coefficient at present. In practical design, its value is usually calculated based on the recommended one given by "Code for design of Metro" and the designer′s experience. Therefore, it is necessary to study the distribution rule and value calculation method of the coefficient. [Method] Based on the current passenger flow data in Guangzhou Metro stations, the stations are classified by the daily inbound passenger flow and the location. The differences in distribution range of the above ultra-peak coefficient at different stations are analyzed, and the distribution pattern and determination approach are discussed. [Result & Conclusion] For the stations surrounded by employment land, the ultra-peak coefficient of inbound passenger flow during evening peak hours should be taken around the lower limit of recommended value given by "Code for design of metro" . For the stations surrounded by residential land, the ultra-peak coefficient during morning peak hours should be taken according to the concentration of travel distance distribution of inbound passenger flow. If the distribution of travel distance is highly concentrated, the coefficient value should be taken around the upper limit of the recommended value in the "Code for design of metro" .

Authors and Affiliations

Lei PENG, Yucheng LI, Dantong ZHAO

Keywords

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  • EP ID EP732799
  • DOI 10.16037/j.1007-869x.2024.03.025
  • Views 14
  • Downloads 0

How To Cite

Lei PENG, Yucheng LI, Dantong ZHAO (2024). Empirical Analysis of Ultra-peak Coefficient of Inbound Passenger Flow in Guangzhou Metro Station. Urban Mass Transit, 27(3), -. https://europub.co.uk/articles/-A-732799