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危险品运输关联网络级联失效建模及耦合特性
引用本文:种鹏云,帅斌.危险品运输关联网络级联失效建模及耦合特性[J].交通运输系统工程与信息,2015,15(5):150-156.
作者姓名:种鹏云  帅斌
作者单位:1. 云南省交通科学研究院云南省交通运输厅安全研究中心,昆明650011;2. 西南交通大学交通运输与物流学院,成都610031
基金项目:国家自然科学基金资助项目(71173177).
摘    要:为研究危险品运输关联网络级联失效机理及耦合特性,在提出一个包含物理网络、服务网络和关联边的危险品运输关联网络模型的基础上,通过构建危险品运输关联网络级联失效模型,利用基于节点度的级联失效平均规模作为网络抗毁性评估测度,基于此对比研究了危险品运输网络关联网络级联失效机理及耦合特性.仿真结果表明:危险品运输物理网络和服务网络间关联边的“传导”特性并不相同,相同失效节点数目下,物理网络的级联失效节点数总大于服务网络,通过改变网络模型参数可提升关联网络抗毁性,且提升服务网络的参数比提升物理网络见效更快.上述结论对危险品运输关联网络的风险识别和应急管理具有一定的理论指导意义.

关 键 词:公路运输  关联网络  复杂网络  危险品运输  级联失效  
收稿时间:2014-07-30

Cascading Failure Model and Coupling Properties for Interdependent Networks of Hazardous Materials Transportation
CHONG Peng-yun,SHUAI Bin.Cascading Failure Model and Coupling Properties for Interdependent Networks of Hazardous Materials Transportation[J].Transportation Systems Engineering and Information,2015,15(5):150-156.
Authors:CHONG Peng-yun  SHUAI Bin
Institution:1. Traffic Safety Research Center of Department of Transportation of Yunnan Province, Yunnan Science Research Institute of Communication & Transportation, Kunming 650011, China;2. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
Abstract:To comparative study the cascading failure mechanism and coupling properties for interdependent networks of hazardous materials transportation, the model is proposed for interdependent networks of hazardous materials transportation which including physical network, service network and correlative- chain, the cascading failure model is also established. Regarding the average size of network cascading failure based on node degree as the measure of invulnerability. Simulation results show that, in the same number of failure nodes, the conductivity between physical network and service network is different, and the number of failure nodes for physical network is bigger than the service network' s; the interdependent networks invulnerability can be improved by changing the network model parameters, and enhancing the network model parameters of service network is much more effective than physical network' s, etc. These results can provide theoretical support for risk identification and emergency management of interdependent networks of hazardous materials transportation.
Keywords:highway transportation  interdependent networks  complex network  hazardous materials transportation  cascading failure  
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