期刊文献+

城市群交通网络特性 被引量:13

The Properties of Traffic Networks in Urban Clusters
原文传递
导出
摘要 城市群经济社会蓬勃发展要求有相适应的交通运输网络为其提供强有力的支持,因此,以长株潭城市群交通网络为背景,研究了交通网络特性。给出了道路的n阶平均度、网络平均n-聚集系数、网络失效弹性等概念,定义了度为k的道路的介数中心性和基于节点介数中心性的结构熵,在数值计算的基础上分析了交通网络性质。研究分析发现:(1)五个交通网络中,整个长株潭交通网络是比较抗失效的,湘潭交通网络显示出对失效的脆弱性,而长沙市及长株潭整个交通网络是最为有序的;(2)长株潭城市群交通网络是小世界网络而不具有无标度性;(3)对网络匹配关系研究表明交通网络是异配的,利用网络异配性初步探讨了网络层阶性。 The flourishing development of urban agglomeration economic society demands for appropriate strong transportation networks. We explore the properties of traffic networks in urban clusters by exemplifying the traffic network of Chang-Zhu-Tan Urban Agglomeration. We first discuss the basic concepts of average n-degree, average n-clustering coefficient, resilience against network failure, then define betweenness centrality of roads with degree k and structure entropy based on node betweenness centrality, which is followed by analysis of properties of traffic networks with numerical results. Studies show that traffic networks have small-world behavior but no scale-free property, and that, among the five traffic networks, the traffic network in Chang-Zhu-Tan Urban Agglomeration is strongly resilient against network failure, while Xiangtan traffic network is vulnerable to failure, and that traffic networks in Changsha and the agglomeration are the most orderly systems. The investigations of network matching relationship imply that traffic networks are disassortative. Finally, we make a preliminary study of network hierarchy in terms of disassortativeness.
出处 《系统工程》 CSCD 北大核心 2009年第3期10-15,共6页 Systems Engineering
基金 湖南省研究生科研创新基金项目(3340-74236000003) 轨道交通安全与控制国家重点实验室开放课题(2007K-0027)
关键词 交通网络 网络层阶性 异配性 n-聚集系数 Traffic Network Network Hierarchy Disassortativeness n-clustering Coefficient
  • 相关文献

参考文献17

  • 1Albert R,Barabási A L.Topology of evolving networks:local events and universality[J].Phys.Rev.Lett.(S0031-9007),2000,85(24):5234-5237.
  • 2Angeloudis P,Fisk D.Large subway systems as complex networks[J].Physic A (S0378-4371),2006,367:553-558.
  • 3Barabási A L.Linked:The new science of networks[M].Cambridge,Massachusetts:Perseus Publishing,2002.
  • 4Barabási A L,Albert R.Emergence of scaling in random networks[J].Science (S0056-8075),1999,286:509-512.
  • 5Eckmann J P,Moses E.Curvature of co-links uncovers hidden thematic layers in the World Wide Web[Z].Proc Nat Acad Sci USA,2002,99(9):5825-5829.
  • 6Jeong H,et al.The large-scale organization of metabolic network[J].Nature(S0028-0836),2000,407(6804):651-654.
  • 7Sienkiewicz J,Holyst J A.Public transport systems in Poland[J].Phys.Rev.E (S1063-651x),2005,72:046127.
  • 8Seaton K A,Lisa M.Hackett L M.Stations,trains and small-world networks[J].Physica A (S0378-4371),2004,339:635-644.
  • 9Newman M E J.Scientific collaboration networks.Ⅰ.Network construction and fundamental results[J].Phys.Rev.E (S1063-651x),2001,64(1):016131.
  • 10Newman M E J.Mixing patterns in networks[J].Phys.Rev.E(S1063-651x),2003,67(2):026126.

二级参考文献12

共引文献148

同被引文献132

引证文献13

二级引证文献69

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部