中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2021, Vol. 40 ›› Issue (05): 31-37.DOI: 10.3969/j.issn.1674-0696.2021.05.06

• Transport+Big Data and Artificial Intelligence • Previous Articles     Next Articles

Characteristics Analysis of Hubei Expressway Network Based on Complex Network

ZHENG Yibin, CAI Hangpeng, LAI Weiwei, LIU Guanyu   

  1. (School of Transportation, Wuhan University of Technology, Wuhan 430063, Hubei, China)
  • Received:2019-08-26 Revised:2020-01-09 Online:2021-05-17 Published:2021-05-18
  • Supported by:
     

基于复杂网络的湖北省高速公路网特性分析

郑义彬,蔡航鹏,赖伟伟,刘冠宇   

  1. (武汉理工大学 交通学院,湖北 武汉 430063)
  • 作者简介:郑义彬(1962—),男,湖北武汉人,副教授,主要从事交通规划与管理方面的研究。E-mail:Zfrank1088@163.com
  • 基金资助:
     

Abstract: Taking the expressway network of Hubei Province as the research object, the network topology model was established by the Space-P method, and the static characteristics, centrality and robustness of the expressway network were analyzed. The research results show that the network structure of expressways in Hubei Province has obvious characteristics of small world network. The nodes can be accessed through fewer path conversions, and the network connectivity is good. Under the random attack strategy, the road network shows good robustness; while the node degree and clustering coefficient of some nodes are lower, and the network connectivity of local areas is poor. At the same time, from the analysis perspective of node centrality, the importance of some nodes in the expressway network is too high, and the performance of the road network is significantly reduced under the deliberate attack strategy.

 

Key words: traffic and transportation engineering, complex network, expressway network, topology structure, centrality, robustness

摘要: 以湖北省高速公路网为研究对象,选取Space-P方法建立其网络拓扑模型,分析高速公路网的静态特性、中心性和鲁棒性。研究结果表明:湖北省高速公路的网络结构具有明显的小世界网络特性,节点间通过较少次的路径转换便可通达,网络连通性好;在随机攻击策略下,路网表现出良好的鲁棒性,但部分节点的节点度和聚类系数较低,局部地区的连通性较差;从节点中心性分析角度看,高速公路网部分节点重要性过高,在蓄意攻击策略下,路网性能降低显著。

关键词: 交通运输工程, 复杂网络, 高速公路网, 拓扑结构, 中心性, 鲁棒性

CLC Number: