交通运输系统工程与信息 ›› 2026, Vol. 26 ›› Issue (1): 2-10.DOI: 10.16097/j.cnki.1009-6744.2026.01.001

• 综合交通运输体系 • 上一篇    下一篇

东北海陆大通道运输网络关键节点识别与抗毁性分析

吴暖*,林婷,王晚香   

  1. 大连交通大学,交通工程学院,辽宁大连116028
  • 收稿日期:2025-10-14 修回日期:2025-12-14 接受日期:2025-12-18 出版日期:2026-02-25 发布日期:2026-02-13
  • 作者简介:吴暖(1991—),男,浙江金华人,讲师,博士。
  • 基金资助:
    辽宁省属本科高校基本科研业务费专项资金;2025年度辽宁省交通运输行业科技项目。

Identification of Key Nodes and Invulnerability Analysis of Northeast Sea-Land Corridor Transportation Network

WU Nuan*, LIN Ting, WANG Wanxiang   

  1. School of Transportation Engineering, Dalian Jiaotong University, Dalian 116028, Liaoning, China
  • Received:2025-10-14 Revised:2025-12-14 Accepted:2025-12-18 Online:2026-02-25 Published:2026-02-13
  • Supported by:
    Fundamental Research Funds for the Provincial Universities of Liaoning(LJ212410150001);2025 Annual Science and Technology Project of Liaoning Provincial Transportation Industry (202507)。

摘要: 东北海陆大通道涉及众多运输节点,各类风险事件不仅会直接影响节点的正常运转,还会通过货流在节点间转移引发网络级联失效,影响通道的高效运行。因此,本文基于复杂网络理论,研究东北海陆大通道运输网络的抗毁性。首先,基于东北海陆大通道多种运输方式的实际,构建多层复合网络,分析网络拓扑结构;其次,选取度中心性、接近中心性、介数中心性、特征向量中心性、聚集系数等指标,构建节点重要度评价体系,设计融入信息熵的改进相关性赋权法——优劣解距离法(CRITIC-TOPSIS),量化节点重要度;最后,基于节点重要度等因素,构建了负载-容量级联失效模型,仿真分析不同参数和攻击模式对网络抗毁性的影响。研究结果表明:当节点重要度排名前10节点失效时,东北海陆大通道运输网络全局效率下降58%,网络连通性下降30%;当节点负载参数α=2、节点容量系数 β=1.4,γ=1.6时,网络应对不同攻击的抗毁性较强。

关键词: 综合交通运输, 抗毁性分析, 复合网络模型, 东北海陆大通道, 级联失效

Abstract: The Northeast Sea-Land Corridor involves a large number of transportation nodes. Various risk events will not only directly affect the normal operation of these nodes, but also trigger cascading failures in the network through the transfer of freights flow between nodes, which undermine the efficient operation of the corridor. Therefore, the invulnerability of the Northeast Sea Land Corridor transportation network was studied based on a complex network theory. First, a multi-layer composite network was constructed based on the diverse transportation modes of the Northeast Sea-Land Corridor transportation network, and its topological structure was analyzed. Second, metrics, such as degree centrality, closeness centrality, betweenness centrality, eigenvector centrality, and clustering coefficient were selected to establish a node importance evaluation system. The improved correlation CRITIC-TOPSIS, incorporating information entropy, was used to quantify the node importance. Finally, a load-capacity cascading failure model was constructed based on node importance. The impact of different parameters and attack modes on network invulnerability was simulated and analyzed. The findings indicate that when the top 10 nodes by node importance fail, the global efficiency of the Northeast Sea-Land Corridor transportation network decreases by 58%, and the network connectivity drops by 30%. When the node load parameter α=2, node capacity coefficient β=1.4, and γ=1.6, the network exhibits strong resilience against various attack modes.

Key words: integrated transportation, invulnerability analysis, composite network model, Northeast Sea-Land Corridor, cascading failure

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