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城市轨道交通换乘节点与网络运行效率关系研究
引用本文:李明高,杜鹏,朱宇婷,史芮嘉,冯旭杰.城市轨道交通换乘节点与网络运行效率关系研究[J].交通运输系统工程与信息,2015,15(2):48-53.
作者姓名:李明高  杜鹏  朱宇婷  史芮嘉  冯旭杰
作者单位:1. 北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京100044;2. 北京交通大学交通运输学院,北京100044;3. 交通运输部科学研究院,北京100029
基金项目:国家自然科学基金重点项目(71131001);国家基础研究计划项目(2012CB725406);中央高校基本科研业务费专项资金资助(2014YJS078);交通运输部建设科技项目(2013318221420).
摘    要:换乘节点是城市轨道交通不同线路间转乘的必经场所,对城市轨道交通系统运行有重要影响.本文基于复杂网络理论,将平均路径长度、网络局部效率和网络全局效率作为网络运行效率的评价指标,研究了换乘节点比例、换乘节点衔接线路数及换乘节点分布与网络运行效率的变化关系.研究表明,网络平均路径长度随换乘节点比例、换乘节点衔接线路数增加呈幂函数降低;网络局部效率随换乘节点比例增加呈指数下降,网络全局效率随换乘节点比例增加呈对数增加且换乘效率越高,增长越明显;换乘节点衔接线路数的增加会降低网络局部效率,增加网络全局效率;换乘节点在各线路分布越均匀,网络全局效率越高.

关 键 词:城市交通  复杂网络  换乘节点  网络运行  网络效率  
收稿时间:2014-08-18

Effect of Urban Rail Transit Transfer Nodes on Network Performance
LI Ming-gao , DU Peng , ZHU Yu-ting , SHI Rui-jia , FENG Xu-jie.Effect of Urban Rail Transit Transfer Nodes on Network Performance[J].Transportation Systems Engineering and Information,2015,15(2):48-53.
Authors:LI Ming-gao  DU Peng  ZHU Yu-ting  SHI Rui-jia  FENG Xu-jie
Institution:1. MOE Key Laboratory for Urban Transportation Complex Systems Theory & Technology, Beijing Jiaotong University, Beijing 100044, China; 2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 3. China Urban Sustainable Transport Research Center,China Academy of Transportation Sciences,Beijing 100029, China
Abstract:Transfer nodes, which are the place while transferring between urban rail transit lines, have great influence to urban rail transit network performance. In this paper, the average path length, network local efficiency and network global efficiency are proposed as the network performance indexes based on complex theory. Then, the effect of transfer nodes proportion, transfer nodes connecting lines and transfer nodes distribution on the urban rail transit network performance is studied. The results show that the average path length decreases by power relate to the transfer nodes proportion and transfer nodes connecting lines. The local efficiency decline by exponential as the transfer nodes proportion increases, while the global efficiency has logarithmic growth as the transfer nodes proportion increases. Transfer efficiency may affect the global efficiency and the higher the transfer efficiency is, the effect of the transfer nodes on global efficiency is more remarkable. Moreover, the local efficiency has inverse correlation with the transfer nodes connecting lines while the global efficiency has positive correlation with the transfer nodes connecting lines. The network performs well while the transfer nodes uniformly distributed in all lines.
Keywords:urban traffic  complex network  transfer nodes  network performance  network efficiency
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