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Defense resource allocation in road dangerous goods transportation network: A Self-Contained Girvan-Newman Algorithm and Mean Variance Model combined approach

机译:道路防御资源分配运输网络:自给式Girvan-Newman算法和平均方差模型组合方法

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摘要

A Self-Contained Girvan-Newman Algorithm and Mean Variance Model combined approach is proposed to allocate the defense resource in road dangerous goods transportation network. Firstly, the weighted physical network without direction and its weighted service network with direction are established. The Self-Contained Girvan-Newman Algorithm is applied to separate the whole weighted physical network into several communities. Next, based on the service network, the covariance matrix of each separated community is established, the Mean Variance Model is used to allocate the defense resource for each community, which focuses on selecting the option with the lowest probability of loss caused by the dangerous goods transportation accident/risk. The case study is conducted by using the road network and the dangerous goods transportation volume of Dalian, China as the background. When the whole network is separated into 6 communities, the defense resource capability in the whole network is the best. The Power Function Allocation Model (PFAM) is applied as the comparison approach, the overall rescue capability of the network is defined and applied to evaluate the defense resource allocation schemes. The results show that, the approach proposed in this paper has better effectiveness than PFAM, especially when the whole network is separated into 6 communities.
机译:提出了一种独立的Girvan-Newman算法和平均方差模型组合方法,以分配道路危险货物运输网络的防御资源。首先,建立没有方向的加权物理网络及其加权服务网络。应用了自包含的Girvan-Newman算法,将整个加权物理网络分开到几个社区中。接下来,基于服务网络,建立每个分离的社区的协方差矩阵,平均方差模型用于为每个社区分配防御资源,这侧重于选择危险货物造成的最低损失概率的选项交通事故/风险。案例研究是通过使用道路网络和大连,中国的危险货物运输量作为背景进行。当整个网络分成6个社区时,整个网络中的防御资源能力是最好的。电源功能分配模型(PFAM)被应用为比较方法,定义了网络的整体救援能力并应用于评估防御资源分配方案。结果表明,本文提出的方法具有比PFAM更好的效力,特别是当整个网络分成6个社区时。

著录项

  • 来源
    《Reliability Engineering & System Safety》 |2021年第11期|107899.1-107899.12|共12页
  • 作者单位

    Southwest Jiaotong Univ Sch Transportat & Logist Chengdu 611756 Sichuan Peoples R China|Southwest Jiaotong Univ Inst Syst Sci & Engn Chengdu 611756 Sichuan Peoples R China|Southwest Jiaotong Univ Natl United Engn Lab Intergrated & Intelligent Tr Chengdu 611756 Sichuan Peoples R China|Southwest Jiaotong Univ Natl Engn Lab Integrated Transportat Big Data App Chengdu 611756 Sichuan Peoples R China;

    Southwest Jiaotong Univ Sch Transportat & Logist Chengdu 611756 Sichuan Peoples R China|Southwest Jiaotong Univ Inst Syst Sci & Engn Chengdu 611756 Sichuan Peoples R China|Natl Railway Adm Market Monitoring & Evaluat Ctr Beijing 100070 Peoples R China;

    Southwest Jiaotong Univ Sch Transportat & Logist Chengdu 611756 Sichuan Peoples R China|Southwest Jiaotong Univ Inst Syst Sci & Engn Chengdu 611756 Sichuan Peoples R China;

    Southwest Jiaotong Univ Sch Transportat & Logist Chengdu 611756 Sichuan Peoples R China|Southwest Jiaotong Univ Inst Syst Sci & Engn Chengdu 611756 Sichuan Peoples R China;

    Southwest Jiaotong Univ Sch Transportat & Logist Chengdu 611756 Sichuan Peoples R China|Southwest Jiaotong Univ Inst Syst Sci & Engn Chengdu 611756 Sichuan Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Defense resource allocation; Road dangerous goods transportation network; Community partition; Self-Contained Girvan-Newman Algorithm; Mean Variance Model;

    机译:国防资源分配;道路危险品运输网络;社区分区;自给式Girvan-Newman算法;平均方差模型;

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