市域铁路与城市轨道交通换乘站瓶颈识别与优化
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摘要
采用静态评价与动态评价相结合的方法研究了市域铁路与城市轨道交通换乘站的瓶颈识别与优化问题。首先,分换乘方向确定了基于乘客换乘需求的换乘服务水平评价指标体系,结合熵权法建立了用于评价换乘站换乘服务水平的综合评价模型;其次,采用Anylogic仿真动态模拟乘客在车站的换乘过程,根据仿真结果及综合评价模型分析了换乘站的换乘服务水平,识别换乘站的能力瓶颈;最后,以犀浦站为例进行了分析,分析得到犀浦站的能力瓶颈是检票闸机、铁路售票机及铁路实名制验票机。仿真结果表明,该能力瓶颈识别方法对换乘站设备布局及流线组织有一定的参考意义。
Bottlenecks identification and optimization of transfer station between commuter rail and urban rail transit are studied by combining static evaluation and dynamic evaluation. Firstly, the evaluation index system of transfer service level based on the transfer demand of passengers is determined in accordance with transfer direction. A comprehensive evaluation model combined with entropy weight method is established to evaluate the transfer service level of transfer station. Then, the transfer process of passengers in the station is simulated by Anylogic simulation. The bottlenecks of the transfer station are identified and the transfer service level is analyzed through the comprehensive evaluation model and Anylogic simulation results. Finally, the Xipu station is taken as an example. The analysis result shows Xipu station's transfer capacity bottlenecks are automatic fare gates, ticket machines and commuter rail's real-name ticket inspection machines. The simulation result shows that the transfer capacity bottlenecks identification method has some significance for setting layout of facilities and organizing passenger flow in the transfer station.
Bottlenecks identification and optimization of transfer station between commuter rail and urban rail transit are studied by combining static evaluation and dynamic evaluation. Firstly, the evaluation index system of transfer service level based on the transfer demand of passengers is determined in accordance with transfer direction. A comprehensive evaluation model combined with entropy weight method is established to evaluate the transfer service level of transfer station. Then, the transfer process of passengers in the station is simulated by Anylogic simulation. The bottlenecks of the transfer station are identified and the transfer service level is analyzed through the comprehensive evaluation model and Anylogic simulation results. Finally, the Xipu station is taken as an example. The analysis result shows Xipu station's transfer capacity bottlenecks are automatic fare gates, ticket machines and commuter rail's real-name ticket inspection machines. The simulation result shows that the transfer capacity bottlenecks identification method has some significance for setting layout of facilities and organizing passenger flow in the transfer station.
引文
[1]周锐.《铁路“十三五”发展规划》发布[J].城市轨道交通研究,2017,20(12):37.
[2]Zhang X Q,Jie H E,Zhu J Z.Urban Rail Transfer Service Evaluation Based on Colored Petri Net[J].Journal of Transportation Systems Engineering&Information Technology,2013,13(5):101-106.
[3]闫冬梅,向红艳,邵毅明.城市轨道交通换乘站运行效率评价[J].重庆交通大学学报(自然科学版),2013,32(01):99-102.
[4]郭丽丽,肖展欣.综合客运枢纽服务功能评价的研究综述[J].综合运输,2016,38(08):62-67.
[5]李世民,安栓庄,贺腊妮.西安地铁北大街站换乘功能评价研究[J].都市快轨交通,2015,28(06):119-124.
[6]陈伟,李宗平.地铁换乘站设施布局优化仿真研究[J].交通运输工程与信息学报,2016,14(02):110-115.
[7]费爽,刘智丽.地铁换乘系统拥堵点的仿真分析及优化研究[J].城市轨道交通研究,2018,21(07):100-105.
[8]王晖,陈丽,陈垦,等.多指标综合评价方法及权重系数的选择[J].广东药学院学报,2007(05):583-589.
[2]Zhang X Q,Jie H E,Zhu J Z.Urban Rail Transfer Service Evaluation Based on Colored Petri Net[J].Journal of Transportation Systems Engineering&Information Technology,2013,13(5):101-106.
[3]闫冬梅,向红艳,邵毅明.城市轨道交通换乘站运行效率评价[J].重庆交通大学学报(自然科学版),2013,32(01):99-102.
[4]郭丽丽,肖展欣.综合客运枢纽服务功能评价的研究综述[J].综合运输,2016,38(08):62-67.
[5]李世民,安栓庄,贺腊妮.西安地铁北大街站换乘功能评价研究[J].都市快轨交通,2015,28(06):119-124.
[6]陈伟,李宗平.地铁换乘站设施布局优化仿真研究[J].交通运输工程与信息学报,2016,14(02):110-115.
[7]费爽,刘智丽.地铁换乘系统拥堵点的仿真分析及优化研究[J].城市轨道交通研究,2018,21(07):100-105.
[8]王晖,陈丽,陈垦,等.多指标综合评价方法及权重系数的选择[J].广东药学院学报,2007(05):583-589.