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Cascading Failures and Vulnerability Evolution in Bus–Metro Complex Bilayer Networks under Rainstorm Weather Conditions

机译:暴雨天气条件下公交地铁复杂双层网络的级联故障和脆弱性演变

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摘要

In recent years, the frequent occurrence of rainstorms has seriously affected urban–public transport systems. In this study, we examined the impact of rainstorms on the vulnerability of urban–public transport systems consisting of both ground bus and metro systems, which was abstracted into an undirected weighted Bus–Metro complex bilayer network (Bus–Metro CBN) and the passenger volume was regarded as its weight. Through the changes in the node scale, network efficiency, and passenger volume in the maximal connected component of the Bus–Metro CBN, we constructed a vulnerability operator to quantitatively calculate the vulnerability of the Bus–Metro CBN. Then, the flow-based couple map lattices (CMLs) model was proposed to simulate cascading failure scenarios of the Bus–Metro CBN under rainstorm conditions, in which the rainstorm is introduced through a perturbation variable. The simulation results show that under the condition of passenger flow overload, the network may have a two-stage cascading failure process. The impact analysis shows that there is a rainstorm intensity threshold that causes the Bus–Metro CBN to collapse. Meanwhile, we obtained the optimal node and edge capacity through capacity analysis. In addition, our analysis implies that the vulnerability of the Bus–Metro CBN network in most scenarios is mainly caused by the degradation of network structure rather than the loss of passenger flow. The network coupling strength analysis results show that the node coupling strength has greater potential to reduce the vulnerability than edge coupling strength. This indicates that traffic managers should prioritize controlling the mutual influence between bus stops (or metro stations) to reduce the vulnerability of the Bus–Metro CBN more effectively.
机译:近年来,暴雨的频繁发生严重影响了城市-公共交通系统。在本研究中,我们研究了暴雨对包括地面公交和地铁系统在内的城市-公共交通系统的脆弱性的影响,这些系统被抽象为无向加权的公交-地铁复杂双层网络(公交-地铁CBN)和乘客体积被认为是其重量。通过在公交地铁CBN的最大连接部分中节点规模,网络效率和载客量的变化,我们构造了一个漏洞算子来定量计算公交地铁CBN的脆弱性。然后,提出了基于流的耦合图格模型(CML),以模拟暴雨条件下公交地铁CBN的级联失效场景,其中暴雨是通过扰动变量引入的。仿真结果表明,在客流超载的条件下,网络可能具有两级联的失效过程。影响分析表明,存在暴雨强度阈值,导致公交地铁CBN崩溃。同时,我们通过容量分析获得了最佳的节点和边缘容量。此外,我们的分析表明,在大多数情况下,公交地铁CBN网络的脆弱性主要是由网络结构的退化而不是客流的损失引起的。网络耦合强度分析结果表明,节点耦合强度比边缘耦合强度具有更大的降低脆弱性的潜力。这表明交通管理人员应优先控制公交车站(或地铁站)之间的相互影响,以更有效地减少公交CBN的脆弱性。

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