成渝城市群铁路客运网特性研究  

Research on characteristics of the railway passenger transport network in Chengdu-Chongqing urban agglomeration

作　　者：薛锋[1,2] 王朝阳 曾与 XUE Feng;WANG Zhaoyang;ZENG Yu(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China;China Railway Shanghai Design Institute Group Co.,Ltd.,Shanghai 200070,China)

机构地区：[1]西南交通大学交通运输与物流学院,成都611756 [2]西南交通大学综合交通大数据应用技术国家工程实验室,成都611756 [3]中铁上海设计院集团有限公司,上海200070

出　　处：《北京交通大学学报》2025年第1期17-27,共11页JOURNAL OF BEIJING JIAOTONG UNIVERSITY

基　　金：国家社会科学基金(22FTJB004);四川省重点研发计划(2024YFHZ0021);四川省哲学社会科学规划项目“四川统计发展”专项课题(SC23TJ038);宜宾智慧物流研究院资助项目(YW2024YB01)。

摘　　要：针对现有的区域铁路网特性研究较少考虑站点之间的联系程度、分析视角单一等问题,从社团划分的角度出发,以成渝城市群铁路客运网为研究对象,开展铁路网结构及功能复杂特性研究.首先,考虑铁路基础设施和列车开行,采用Space L和Space P方法分别构建铁路客运物理网与服务网模型;其次,通过计算度分布、平均路径长度等拓扑统计指标分析网络整体特性;最后,引入社团结构理论研究网络内部特性,提出一种基于改进粒子群算法的铁路网社团划分方法,进一步分析成渝城市群铁路客运网的社团构成、地理分布及内部连通性.研究结果表明:成渝城市群铁路客运物理网具有无标度特性,服务网具有小世界特性;物理网被划分为12个社团,其空间分布具有明显地理特征,与铁路干线分布基本吻合;服务网被划分为8个社团,其空间分布突破了地理位置的限制,社团内部站点表现出远距离相互作用,同时各社团网络也具有小世界特性.研究成果可为推动成渝城市群铁路客运网一体化发展,提升铁路网的可靠性提供参考.Existing research on regional railway network characteristics often overlooks the degree of connectivity between stations and tends to adopt a singular analytical perspective.To address these limitations,this study examines the railway passenger transport network of the Chengdu-Chongqing urban agglomeration from the perspective of community division,exploring the complex structural and functional characteristics of the railway network.First,considering both railway infrastructure and train operations,the Space L and Space P methods are employed to construct models of the railway passenger physical network and service network,respectively.Next,the overall network characteristics are analyzed through topological statistical indicators such as degree distribution and average path length.Finally,community structure theory is introduced to investigate the internal network characteristics.A community division method based on an improved particle swarm optimization algorithm is proposed to further analyze the community composition,geographical distribution,and internal connectivity of the Chengdu-Chongqing railway passenger transport network.The results indicate that the railway passenger physical network of the Chengdu-Chongqing urban agglomeration exhibits scale-free characteristics,while the service network demonstrates small-world characteristics.The physical network is divided into 12 communities,whose spatial distribution exhibits obvious geographical patterns closely aligned with the main railway lines.The service network is divided into 8 communities,with a spatial distribution that transcends geographical constraint,where stations within the same community display long-distance interactions.Additionally,each community network retains small-world characteristics.The study’s conclusions provide valuable insights for promoting the integrated development of the Chengdu-Chongqing railway passenger transport network and enhancing its overall reliability.

关 键 词：铁路运输 成渝城市群铁路客运网 社团划分 网络特性 粒子群算法 

分 类 号：U293.1[交通运输工程—交通运输规划与管理]