School of Economics and Management, Chang'an University, Xi'an 710064, China.
Department of International Logistics, Chung-Ang University, Seoul 06974, Korea.
Int J Environ Res Public Health. 2019 Jan 24;16(3):329. doi: 10.3390/ijerph16030329.
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.
近年来,暴雨的频繁发生严重影响了城市公共交通系统。在这项研究中,我们检验了暴雨对由地面公交和地铁系统组成的城市公共交通系统脆弱性的影响,将其抽象为无向加权公交-地铁双层网络(Bus-Metro CBN),并将客流量视为其权重。通过 Bus-Metro CBN 中最大连通分量的节点规模、网络效率和客流量的变化,我们构建了一个脆弱性算子,以定量计算 Bus-Metro CBN 的脆弱性。然后,我们提出了基于流量的耦合映射格子(CML)模型来模拟暴雨条件下的 Bus-Metro CBN 级联失效场景,其中通过一个扰动变量引入暴雨。模拟结果表明,在客流过载的情况下,网络可能会经历一个两阶段的级联失效过程。影响分析表明,存在一个导致 Bus-Metro CBN 崩溃的暴雨强度阈值。同时,我们通过容量分析获得了最佳的节点和边容量。此外,我们的分析表明,在大多数情况下,Bus-Metro CBN 网络的脆弱性主要是由于网络结构的退化引起的,而不是客流量的损失。网络耦合强度分析结果表明,节点耦合强度比边耦合强度更有潜力降低脆弱性。这表明交通管理者应该优先控制公交站(或地铁站)之间的相互影响,以更有效地降低 Bus-Metro CBN 的脆弱性。