摘要
随着城市轨道交通规模的不断发展,如何快速有效地挖掘重要站点对轨道交通的安全运营具有重要意义。以2021年底武汉城市轨道交通为研究对象,运用Space-L方法构建武汉地铁网络拓扑结构;考虑节点所处的局部环境和节点在网络中的全局属性,引入进行网页排名的PageRank算法,分析了客流量对地铁站点的影响;最后通过基于余弦相似性TOPSIS法代替传统TOPSIS法来解决节点重要度排序的问题。研究结果表明:武汉城市轨道交通网络为无标度网络,整个线路呈现出小环线、长放射线的模式,放射线过长会造成长距离通勤放射线过分依赖市中心的换乘,易造成客流的不均衡;重要度排名靠前的车站在轨道交通网络中拥有着较多的邻居节点、位置相对中心化、客流量较大且具有较高的局部重要性和全局重要性;与单一指标评估结果相比,笔者方法更加全面客观并赋予了不同属性指标权重,使得评价更加全面,且能在一定程度上改善因欧式距离失效而产生的逆序现象。
With the consistent development of urban rail transit,how to dig out important sites quickly and effectively is of great significance for the safe operation of rail transit.Taking Wuhan urban rail transit at the end of 2021 as the research object,the Space-L method was used to construct the topological structure of the Wuhan subway network,which considered the local environment of the node and its global attributes in the network,as well as introduced the PageRank algorithm for webpage ranking.The impact of passenger flow on subway stations was analyzed,and the problem of node importance ranking was solved by replacing the traditional TOPSIS method with the cosine similarity TOPSIS method.The results show that:the rail transit network of Wuhan is a scale-free network,and the entire Wuhan rail transit line presents a pattern of small loop line and long radiation.Too long radiation will cause long-distance commuting radiation to over-rely on the transfer of the city center,which is easy to cause the imbalance of passenger flow.The stations with the highest importance ranking in Wuhan s rail transit network have more neighboring nodes,relatively centralized locations,larger passenger flow,and higher local and global importance.Compared with the evaluation results of a single indicator,the proposed method is more comprehensive and objective in assigning weights to different attribute indicators,which makes the evaluation more comprehensive and to some extent improves the reverse order phenomenon caused by the failure of Euclidean distance.
作者
涂敏
韩雨濛
TU Min;HAN Yumeng(School of Transportation&Logistics Engineering,Wuhan University of Technology,Wuhan 430063,Hubei,China)
出处
《重庆交通大学学报（自然科学版）》
CAS
CSCD
北大核心
2023年第9期113-121,共9页
Journal of Chongqing Jiaotong University(Natural Science)
基金
湖北省委重大财经调研课题项目(HBSWCJ—2019—0*)。
