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基于复杂网络的危险品道路运输网络优化策略研究

  • 种鹏云 ,
  • 尹惠 ,
  • 种鹏云 ,
  • 尹惠
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  • 1.云南省交通科学研究院有限公司 交通运输安全研究中心,昆明 650011;
    2.中国电建集团昆明勘测设计研究院有限公司,昆明 650051
种鹏云(1988-),男,陕西渭南人,博士,高级工程师,主要研究方向为复杂交通运输网络、突发事件应急管理和城市公共安全网络规划等。

收稿日期: 2018-07-07

  网络出版日期: 2019-01-31

基金资助

国家自然科学基金(41501174,71563023);云南省科学技术厅技术开发研究专项(2016DC053)

Analysis on Optimization Strategies of Hazardous Materials Road Transportation Network Using Complex Network Theory

  • CHONG Pengyun ,
  • YIN Hui ,
  • CHONG Pengyun ,
  • YIN Hui
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  • 1. Safety Research Center of Traffic & Transportation, Yunnan Science Research Institute of Communication & Transportation Company Limited, Kunming 650011;
    2. Power China Kunming Engineering Corporation Limited, Kunming 650051

Received date: 2018-07-07

  Online published: 2019-01-31

摘要

为探究危险品道路运输网络拓扑特性及优化策略,以大连市危险品道路运输网络为例,根据复杂网络理论,构建基于原始法的赋权无向连通的危险品道路运输复杂网络模型,基于此,研究了网络拓扑特性。通过对复杂网络模型的平均节点的度、度分布、特征路径长度和网络平均聚集系数等特征数值的计算分析结果表明:大连市危险品道路运输网络节点度分布极不均匀,累积节点的度服从指数分数,网络表现为随机网络特征;网络具有较小的特征路径长度和较大的网络聚集系数,是一种典型的小世界网络;通过降低危险品道路运输网络平均路段长度、相近条件下(网络规模和网络特征路径长度等)降低网络平均路段大小、扩大局部网络规模和采用疏密结合的布局方法等都可提高网络小世界特性。结果为网络规划和改善危险品道路运输网络提供了新的参考和依据。

本文引用格式

种鹏云 , 尹惠 , 种鹏云 , 尹惠 . 基于复杂网络的危险品道路运输网络优化策略研究[J]. 复杂系统与复杂性科学, 2018 , 15(3) : 56 -65 . DOI: 10.13306/j.1672-3813.2018.03.007

Abstract

To study the topological properties and optimization strategies of hazardous materials road transportation network (HMRTN), the HMRTN of Dalian city was used as a case to investigate the topological properties by establishing an undirected, weighted and connected HMRTN model through primal approach based on complex network theory. The results of eigenvalues of average node degree, node distribution, characteristic path length and average clustering coefficient etc. show that: 1) the degree distribution is extremely uneven, and the cumulative node degree is subjected to exponential distribution, showing the network characteristics of random network; 2) the HMRTN has small characteristic path length and large network clustering coefficient, showing the network characteristics of small-world network; 3) by reducing the network average road length in the similar conditions (the size of network, the characteristic path length, etc.), expanding the size of network and taking a planning method with sparse and dense network etc. are all good for improving the network characteristics of small-world network. These findings provide a new reference to optimize and enhance the HMRTN and its network planning.

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