考虑城市韧性安全的地铁枢纽站出站乘客楼扶梯引导策略  

Guiding strategy of stair and escalator passengers in metro hub stations considering urban resilient safety

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作  者:丁小兵[1] 洪晨 史淦 DING Xiaobing;HONG Chen;SHI Gan(School of Urban Railway Transportation,Shanghai University of Engineering Science,Shanghai 201620,China)

机构地区:[1]上海工程技术大学城市轨道交通学院,上海201620

出  处:《上海工程技术大学学报》2024年第4期370-374,共5页Journal of Shanghai University of Engineering Science

基  金:上海市哲学社会科学规划课题资助(2024BGL005)。

摘  要:为解决轨道交通站台楼扶梯处因列车到站高密度客流导致的乘客拥挤等问题,建立了考虑体力和时间消耗的综合阻抗函数,提出最优楼扶梯选择建议。首先,采集到站列车各车门下车乘客数,结合Dijkstra算法实现乘客楼扶梯组分配;其次,计算楼扶梯处乘客排队参数;再次,构建乘客楼扶梯选择阻抗函数,结合排队特性得到不同乘客楼扶梯选择最优决策;最后,选取上海地铁2号线虹桥火车站地铁站进行实例分析。结果表明:当扶梯前排队等待时间为10.32 s时,建议普通乘客选择楼梯进行乘降;当扶梯前排队等待时间分别为29.91 s和40.31 s时,分别建议小件和大件携行乘客选择楼梯进行乘降作业。To address issues related to passenger congestion at the stairs and escalators of the platforms resulting from the intense gathering of passenger flow upon the arrival of rail transit trains,the impedance function of the optimal decision selecting stair and escalator was constructed,which integrated both physical consumption and time consumption.Firstly,the number of passengers disembarking from each door of the arriving train were collected and Dijkstra's algorithm was utilized to allocate passengers to stair and escalator groups.Secondly,passenger queuing parameters at stairs and escalators were calculated.Thirdly,combined with the queuing characteristics,the impedance functions for stair and escalator selection were built,then the optimal decision of stair and escalator selection for different passengers were obtained.Finally,a case study of Hongqiao Railway Station of Shanghai Metro Line 2 was carried out.The results indicated that,when the waiting time in the queue before the escalator was 10.32 s,it was recommended for regular passengers to use the stairs;when the waiting time in the queue before the escalator increased to 29.91 and 40.31 s,it was advisable for passengers with luggage to use the stairs.

关 键 词:交通运输规划与管理 客流组织优化 排队论 楼扶梯瓶颈 最短路算法 

分 类 号:U293.13[交通运输工程—交通运输规划与管理]

 

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