交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (1): 217-222.

• 案例分析 • 上一篇    下一篇

河谷型城市公交网络脆弱性研究——以兰州市为例

冯慧芳*,李彩虹,王瑞   

  1. 西北师范大学数学与统计学院,兰州730070
  • 收稿日期:2015-08-10 修回日期:2015-12-08 出版日期:2016-02-25 发布日期:2016-02-25
  • 作者简介:冯慧芳(1971-),女,甘肃古浪人,教授,博士.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China (61363081,71561024,);甘肃省高等学校基本科研 业务费/Fundamental Research Funds for the Gansu Universities(2013);甘肃省科技计划项目/Science and Technology Program of Gansu Province(1308RJZA294, 1506RJZA121).

Vulnerability Study for Public Transport Network of Valley City: Case of Lanzhou

FENG Hui-fang, LI Cai-hong,WANG Rui   

  1. College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, China
  • Received:2015-08-10 Revised:2015-12-08 Online:2016-02-25 Published:2016-02-25

摘要:

应用复杂网络理论,以兰州市为例研究河谷型城市公交网络的脆弱性.首先, 根据L 空间模型构建城市公交站点网络,分析该网络静态拓扑特性.然后,基于随意攻击 和蓄意攻击两种攻击模式,建立城市公交网络脆弱性测度指标,并对两种攻击模式下公 交网络的脆弱性进行分析.研究结果表明,由于兰州市特殊的河谷型地形特征,在蓄意攻 击下的脆弱性远远强于其在随意攻击下的脆弱性.最后,结合公交网络脆弱性特征研究公 交网络核心站点选取策略.结果表明,基于度的核心站点选择更适合兰州市公交网络,这 为兰州市交通规划和交通网络优化决策提供理论依据.

关键词: 城市交通, 脆弱性, 复杂网络, 公交网络, 河谷型城市

Abstract:

The public transport network vulnerability of Lanzhou is studied based on complex network theory. Firstly, the bus stations network are constructed according to the space L model and the static topological properties is analyzed. Then, the metrics about the vulnerability of urban public transport network is established on the basis of the random failure and selective attack of complex networks, and the corresponding performances are presented. The results show that the vulnerability of a selective attack is far stronger than that of random failure because of the special features of the valley terrain in Lanzhou. Finally, combined with the vulnerability of public transport network, the key station selection strategy is studied. It shows that the selection strategy based on the degree is more suitable for Lanzhou. These results provide a theoretical basis to support decision making on transportation planning and urban traffic network optimization for Lanzhou.

Key words: urban traffic, vulnerability, complex network, public transport network, valley city

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