考虑公交换乘的地铁常态化限流站点识别方法研究  

Identification Method of Metro Stations with Regularized Passenger Flow Control Considering Bus Transfers

作　　者：胡馨月 彭其渊[1,2] 陈锦渠 杜剑飞 HU Xinyue;PENG Qiyuan;CHEN Jinqu;DU Jianfei(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,Sichuan,China;National Joint Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 611756,Sichuan,China)

机构地区：[1]西南交通大学交通运输与物流学院,四川成都610031 [2]西南交通大学综合交通运输智能化国家地方联合工程实验室,四川成都611756

出　　处：《铁道运输与经济》2024年第6期169-180,共12页Railway Transport and Economy

基　　金：国家重点研发计划项目(2022YFB4300502)。

摘　　要：目前地铁常态化限流站点选择的研究,未考虑线路运输能力限制以及客流损失问题,脱离实际运营而难以推广使用。为平衡地铁公司和车站的决策标准,减少常态化限流站点的数量,提出一种考虑公交换乘疏散客流的地铁常态化限流站点识别方法。首先构建由地铁-公交耦合网络拓扑模型,并分别从地铁网络化运营和公交换乘减少客流损失2个角度设计7个地铁站关键程度量化指标;验证系统的线性时不变特性,基于子网生成策略设计站点识别算法;最后以2018年1月某工作日北京市的乘客出行链数据为例,验证指标和算法设计的合理性,研究每10 min时变客流分布规律,对比2018年的实际方案,结果表明:初始网络可控性为0.057 5,识别准确度趋近于80%,准确率高且误判率低的限流站数量分别为67,70,73,78。将常态化限流站分为固定和备选2类,并提出了结合公交换乘引导、分批次限流的措施,从而为大城市地铁车站高峰时段的常态化限流方案决策提供参考。Existing research on the selection of metro stations for regularized passenger flow control fails to consider the limitations of line transport capacity and the issue of passenger flow loss,which leads to impractical applications.To balance the decision-making criteria of metro companies and stations and to reduce the number of regularized passenger flow control stations,this study proposed a method that takes into account bus transfers to disperse passenger flows.Firstly,a metro-bus coupled network topology model was constructed,and seven key indicators for measuring the importance of metro stations were designed from two perspectives:metro networked operation and reducing passenger flow loss through bus transfers.The linear time-invariant characteristics of the system were confirmed,and a station identification algorithm based on a sub-network generation strategy was developed.The indicators and algorithm were validated using passenger travel chain data from a working day in January 2018 in Beijing.The study analyzed the dynamic passenger flow distribution pattern every 10 min and compared it with the actual plan from 2018.The results indicate that the initial network controllability is 0.0575,with an identification accuracy approaching 80%.The number of flow control stations with high accuracy and low misjudgment rates are 67,70,73,and 78,respectively.The regular passenger flow control stations are categorized into fixed and optional,and measures combining bus transfer guidance and phased flow control are suggested.This research provides a reference for decision-making regarding regularized passenger flow control plans during peak hours at metro stations in large cities.

关 键 词：城市交通 常态化限流站 精确可控性 地铁车站 公交换乘 

分 类 号：U293.1[交通运输工程—交通运输规划与管理]