Exploring cascading reliability of multi-modal public transit network based on complex networks

可靠性(半导体) 情态动词 公共交通 计算机科学 可靠性工程 复杂网络 过境(卫星) 工程类 运输工程 物理 材料科学 功率(物理) 量子力学 高分子化学 万维网
作者
Lin Zhang,Huiying Wen,Jian Lü,Da Lei,Shubin Li,Satish V. Ukkusuri
出处
期刊:Reliability Engineering & System Safety [Elsevier]
卷期号:221: 108367-108367 被引量:33
标识
DOI:10.1016/j.ress.2022.108367
摘要

• A novel model to model, measure, and control cascading failures of multi-modal public transit network is proposed. • Three types of failure load dynamic redistributions (FLDRs) are designed considering domain knowledge of transportation engineering. • This model has a unique advantage of calculation efficiency based on complex networks. Previous studies had focused on cascading failures of urban rail transit network (URTN) or bus transit network (BTN) while ignoring their coupling performances against cascading failures. Particularly, when considering the embedded effect of the other transit modes network (OTN, i.e., private cars and taxis sharing road infrastructures with BTN), cascading failures of multi-modal public transit network (MPTN) exhibit complex coupling dynamics caused by the intertwining and coupling effect of three types of failure load dynamic redistributions (FLDRs in a single layer or between layers). This work proposes a cascading reliability model to model, measure, and control this special type of cascading failures, which provides a novel perspective to test the entire network reliability with a unique advantage of calculation efficiency based on complex networks. Then, a case study concerning the cascading failures of an MPTN under impacts of a large passenger flow from a large-scale integrated passenger hub station is conducted. Results show that the proposed model has good adaptability, and its 5 / 6 control parameters have a different but effective correlation with cascading reliability and can realize the controllability of cascading reliability. Furthermore, the proposed multiple evaluation indicators of cascading reliability realize the diversity of measuring perspectives and demonstrate good mutual verification performances.
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