交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (3): 21-27.

• 综合交通运输体系论坛 • 上一篇    下一篇

多式联运网络风险传播建模与仿真

雷凯1,朱晓宁*1,侯键菲2   

  1. 1. 北京交通大学交通运输学院,北京100044;2. 交通运输部科学研究院,北京100029
  • 收稿日期:2016-02-01 修回日期:2016-04-05 出版日期:2016-06-25 发布日期:2016-06-27
  • 作者简介:雷凯(1983-),男,新疆克拉玛依市人,讲师,博士生
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(71390332).

Modeling and Simulation of Risk Communication in Multimodal Transportation Networks

LEI Kai1, ZHU Xiao-ning1, HOU Jian-fei2   

  1. 1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 2. China Academy of Transportation Science, Beijing 100029, China
  • Received:2016-02-01 Revised:2016-04-05 Online:2016-06-25 Published:2016-06-27

摘要:

将复杂网络传播动力学理论引入多式联运网络风险传播问题,旨在进一步揭 示风险传播的复杂内在规律.首先对复杂网络动力学模型在多式联运网络的适用性进行 阐述;接着对多式联运网络风险传播过程进行深入分析,进而基于灾害蔓延动力学模型 建立了多式联运网络风险传播动力学模型,并对多式联运网络风险传播仿真实验进行详 细设计;最后分别从风险传播源节点类型、初始风险值及节点风险阈值3 个方面的差异对 风险传播范围进行仿真分析.研究表明,本文建立的风险传播动力学模型能够反映多式联 运网络风险传播的过程,基于网络节点差异化特征的仿真过程揭示了风险在多式联运网 络中的传播规律,可为多式联运网络风险控制提供一定的理论依据.

关键词: 综合交通运输, 风险传播, 复杂网络, 灾害蔓延动力学模型, 多式联运, 风险阈值

Abstract:

The dynamic theory of complex networks is introduced into the study of the risk communication of multimodal transportation network. This paper aims to reveal the complex internal rule of the risk communication in the multimodal transportation network. Firstly, the applicability of complex network dynamics model is described. Secondly, the risk communication process is deeply analyzed. Then, the risk communication dynamics model is built based on the disaster spreading dynamic model. And then the simulation experiment of the risk communication is designed in multimodal transportation network. Finally, the risk communication range is simulated from three aspects, such as node type, initial risk value and node risk threshold. The research shows that the risk communication dynamics model in this paper is in line with the process and can reflect the process of the risk communication of the multimodal transportation network. At the same time, the simulation experiment reveals the risk communication rule based on the differentiation of network nodes, and can provide certain theoretical basis for the risk control of the multimodal transportation network.

Key words: integrated transportation, risk communication, complex network, disaster spreading dynamic model, multimodal transportation, risk threshold

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