| 468 | 13 | 339 |
| 下载次数 | 被引频次 | 阅读次数 |
为提高轨道交通综合客运枢纽的服务效率,针对枢纽间不同轨道交通系统,研究不同系统间的运能匹配和疏散能力。本文分析了综合枢纽的定位及功能,提出了铁路到发能力、枢纽交通方式客流分担率、城轨疏散能力和枢纽设施设备能力的计算方法,基于此进行了分时段运能匹配分析,识别出枢纽运能高峰期的瓶颈所在位置并提出优化建议。成都东客站实例分析表明,该站高峰期线路运能匹配度为0.79,匹配性较好,城轨线路疏散能力足够及时有效地疏散铁路客流;而枢纽设施设备运能匹配度为1.10,匹配性不佳,枢纽设施设备能力不足,影响了乘客集散效率,呈现出瓶颈现象。
Abstract：To improve the service efficiency of rail transit integrated passenger transport hubs,the capacity matching and evacuation capacity among different rail transit systems are studied.This study analyzes the positioning and functions of a comprehensive hub,and proposes the calculation methods for the railway arrival and departure capacity,the sharing rate of the hub traffic mode,the urban rail evacuation capacity,and the hub facilities and equipment capacity.Based on this,we analyze the matching of transport capacities in different time periods,identify the peak capacity and bottleneck locations of the hub,and propose appropriate optimization suggestions.The case study of Chengdu East Railway Station shows that,the matching degree of transportation capacity of the station is 0.79 in the peak period,which is desirable,and the evacuation capacity of the urban rail line is sufficient enough so that the railway passenger flow can be evacuated in a timely and effective manner.In contrast,the matching degree of hub facilities and equipment is 1.10,which is not desirable,and the capacity of hub facilities and equipment is insufficient,which affects the passenger collection and distribution efficiency and presents a bottleneck phenomenon.
[1]YAP M,LUO D,CATS O.Where shall we sync?Clustering passenger flows to identify urban public transport hubs and their key synchronization priorities[J].Transportation Research Part C:Emerging Technologies,2019,98:433-448.
[2]FAN B F,YANG Y L,LI L.Integrated optimization of urban agglomeration passenger transport hub location and network design[J].EURASIP Journal on Wireless Communications and Networking,2018,2018(1):1-7.
[3]任俊学,季常煦.客运枢纽集散服务网络瓶颈识别方法研究[C]// Proceedings of 2010 International Conference on Management Science and Engineering.Wuhan:ETP,2010:105-109.
[4]陈慧,汪波.城市轨道交通基于网络瓶颈的运力资源分配研究[J].石家庄铁道大学学报,2014(4):64-67.
[5]蒋洁滢.区域轨道交通综合运能匹配评价方法研究[J].中国铁路,2019(9):90-94.
[6]王睿.区域轨道交通枢纽运能匹配方法研究[D].成都:西南交通大学,2019.
[7]陈春安,荣建,李伴儒,等.基于系统动力学的枢纽换乘系统运能匹配研究[J].城市交通,2017(2):48-55.
[8]王睿,马驷.区域轨道交通网络运能匹配方法研究[J].交通运输工程与信息学报,2020,18(2):103-110.
[9]贺玉姣.高铁地铁枢纽换乘客流的控制——以成都东站高铁换乘地铁为例[D].成都:西南交通大学,2018.
[10]赵晓婷.铁路客运与城市轨道交通换乘模型及优化方法研究[D].兰州:兰州交通大学,2015.
[11]NIE G Y,YUAN Z Z,WU H L.Analysis and calculationon the capacity of stairway in urban rail transit hubs[J].Applied Mechanics and Materials,2014,3308,1733-1736.
[12]李佳.铝合金车体结构强度分析与碰撞仿真研究[D].兰州:兰州交通大学,2014.
[13]张一梅.基于路网的城市轨道交通系统运输能力研究[D].北京:北京交通大学,2009.
[14]庄同宁.游客绿色出行驱动机理及其影响因素研究——以共享单车为例[D].江苏:江苏师范大学,2018.
[15]刘嘉宝,崔炳谋,秦佳佳.城市一体化运输体系交通方式换乘分担率模型[J].中国铁路,2015(10):31-35.
[16]王顺豪.基于前景理论的高速铁路线路方案优选研究[D].成都:西南交通大学,2018.
[17]周跃云,赵先超,丁梦.基于OWA-TOPIS模型的湖南省能源碳排放经济效率聚类分析[J].湖南工业大学学报,2014(3):1-4.
[18]潘瑞.公交网络瓶颈识别方法研究[D].北京:北京交通大学,2012.
[19]赵德.多方式公共交通资源耦合效能评价[D].南京:东南大学,2016.
[20]李承隆.成都枢纽运输组织方案优化[D].成都:西南交通大学,2014.
[21]张璇.我国食品安全政府管制模式转型研究[D].南京:南京航空航天大学,2010.
[22]唐子涵.综合客运枢纽站流线组织与分析[D].成都:西南交通大学,2010.
[23]WU P,PITCHFORTH J,MENGERSEN K.A hybrid queue-based bayesian network framework for passenger facilitation modelling[J].Transportation Research Part C,2014(46):247-260.
[24]YAGHINI M,SARMADI M,NIKOO N,et al.Capacity consumption analysis using heuristic solution method for under construction railway routes[J].Networks and Spatial Economics,2014,14(3):317-333.
基本信息:
DOI：10.19961/j.cnki.1672-4747.2020.11.002
中图分类号:U291.7
引用信息:
[1]汪雯文,薛锋.综合客运枢纽轨道交通系统运能匹配度研究[J],2021,19(03):111-122.DOI:10.19961/j.cnki.1672-4747.2020.11.002.
基金信息:
国家重点研发计划项目(2017YFB1200702);; 四川省科技计划项目(2021YJ0077);; 四川省社会科学规划项目“统计发展专项课题”(SC19TJ027)
2020-11-03
2020
2020-12-09
2020
1