地铁车站站内设施高峰客流到达率计算方法研究
李晨林仇婉约徐行方
Calculation Method of Peak Passenger Arrival Rate inside Subway Station Facilities
LI ChenlinQIU WanyueXU Xingfang
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作者信息:同济大学道路与交通工程教育部重点实验室，201804，上海
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Affiliation:State Key Laboratory of Road and Traffic Engineering, Tongji University, 201804, Shang\|hai, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2020.00.017
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中图分类号/CLCN:U293.1+3U231.4
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栏目/Col:研究报告
摘要:
现有的地铁设施规模设计主要是基于高峰小时客流量，而未能有效考虑瞬时客流到达率对设施的冲击，导致设施设计能力略显不足。为应对地铁站内设施设计能力与客流实际需求不匹配的问题，对地铁站内设施高峰客流到达率的计算方法进行了研究。从列车到达前后两种状态分析站内设施到达客流构成及其变化规律；以乘客泊松到达过程为基础，推导出设施高峰客流到达率的计算公式；以上海轨道交通陆家浜路站为案例，对不同设施高峰客流到达率进行了计算，并将计算最大值与实测最大值进行对比分析，计算结果表明两者之间的误差较小且均在6%以内，验证了计算方法的有效性。
Abstracts:
The current design of subway facility scale is mainly based on the peak hour passenger flow with less attention paid to the impact of instantaneous passenger arrival rate, resulting in the slightly insufficient facility design capacity. In order to solve the mismatched problems between facility design capacity and passenger flow demands at subway stations, the method of calculating the peak passenger arrival rate is studied. According to the two states before and after the arrival of trains, the composition of passenger flow and its change rule are analyzed. Then, based on the passenger Poisson arrival process, a calculating formula for the peak passenger arrival rate is derived. Finally, taking Lujiabang Road Station of Shanghai urban rail transit as an example, the peak passenger arrival rate of different facilities is calculated, the calculated maximum value and the measured maximum value are compared and analyzed. Results show that the error between the two is less than 6%, thus the effectiveness of the proposed method is verified.
引文 / Ref:
李晨林，仇婉约，徐行方.地铁车站站内设施高峰客流到达率计算方法研究[J].城市轨道交通研究，2020，23（7）：83.
LI Chenlin，QIU Wanyue，XU Xingfang.Calculation Method of Peak Passenger Arrival Rate inside Subway Station Facilities[J].Urban mass transit，2020，23（7）：83.
LI Chenlin，QIU Wanyue，XU Xingfang.Calculation Method of Peak Passenger Arrival Rate inside Subway Station Facilities[J].Urban mass transit，2020，23（7）：83.
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