路轨协同下地铁配送网络抗毁性分析与关键节点识别  

Network resistance analysis and key nodes identification of subwaydistribution network under road-rail coordination

作　　者：张锦[1,2,3] 陈朗 申皓 李国旗[1,2,3] ZHANG Jin;CHEN Lang;SHEN Hao;LI Guoqi(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 611756,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu Sichuan 611756,China)

机构地区：[1]西南交通大学交通运输与物流学院,四川成都611756 [2]西南交通大学综合交通运输智能化国家地方联合工程实验室,四川成都611756 [3]西南交通大学综合交通大数据应用技术国家工程实验室,四川成都611756

出　　处：《中国安全科学学报》2024年第10期39-49,共11页China Safety Science Journal

基　　金：国家自然科学基金资助(42271195)。

摘　　要：为研究路轨(道路-轨道)协同城市配送中地铁网络的抗毁性和关键节点,支撑路轨协同下城市配送的组网模式以及配送网络的可靠性提升,首先,以相对网络效率、相对负载熵为抗毁性测度指标,基于改进的耦合映像格子(CML)模型,研究不同攻击模式下的网络抗毁性变化;其次,选取反映网络运输效率的中心性指标和反映网络承载能力的现实性指标,构建网络关键节点综合识别模型;然后,通过分析不同指标权重下的网络抗毁性水平,得到最优权重取值下的关键节点集合;最后,以成都市地铁网络为例进行实证分析,验证该模型的有效性和实用性。研究结果表明:在同等扰动强度下,地铁网络面对随机攻击时抗毁能力更强;当面临外部扰动时,相对网络效率与相对负载熵损失在20%以上的节点占比分别为6.3%与6.8%,其中相对网络效率损失最大可达56.3%,相对负载熵损失最大可达50.2%;同时,考虑现实性指标与中心性指标,平均每个关键节点造成的相对网络效率损失与相对负载熵最大损失分别为8.99%与4.38%,需予以重点关注。In order to study the invulnerability and key nodes of the metro network in road-rail cooperative urban distribution,so as to support the networking mode of urban distribution and the reliability improvement of the distribution network under road-rail cooperation,the relative network efficiency and relative load entropy were used as the invulnerability measurement indicators,and the network invulnerability changes under different attack modes were studied based on the improved coupling image lattice model first.Secondly,the centrality index of the transportation efficiency of the reaction network and the realistic index of the carrying capacity of the reaction network was selected to construct a comprehensive identification model of key nodes of the network.Then,by analyzing the level of network invulnerability under different index weights,the key node set under the optimal weight value was obtained.Finally,the empirical analysis of the Chengdu metro network was carried out to verify the effectiveness and practicability of the model.The results show that the metro network has a stronger anti-destruction ability in the face of random attacks under the same disturbance intensity.When faced with external disturbances,the relative network efficiency and relative load entropy loss of nodes with a loss of more than 20%is 6.3%and 6.8%,respectively,of which the relative network efficiency loss can reach 56.3%,and the relative load entropy loss can reach 50.2%.Considering the realistic and central indicators,the relative network efficiency loss and the maximum relative load entropy loss caused by each key node are 8.99%and 4.38%,respectively,which need to be paid attention to.

关 键 词：路轨协同 地铁配送网络 抗毁性 关键节点 耦合映像格子(CML)模型 级联失效 

分 类 号：X913.4[环境科学与工程—安全科学]