弹性(材料科学)
计算机科学
模糊逻辑
集合(抽象数据类型)
风险分析(工程)
构造(python库)
运筹学
应急管理
工程类
人工智能
业务
政治学
热力学
物理
程序设计语言
法学
作者
Zehui Bu,Jicai Liu,Xiaoxue Zhang
出处
期刊:Kybernetes
[Emerald (MCB UP)]
日期:2023-07-17
被引量:4
标识
DOI:10.1108/k-12-2022-1718
摘要
Purpose Subway systems are highly susceptible to external disturbances from emergencies, triggering a series of consequences such as the paralysis of the internal network transportation functions, causing significant economic and safety losses to cities. Therefore, it is necessary to analyze the factors affecting the resilience of the subway system to reduce the impact of disaster incidents. Design/methodology/approach Using the interval type-2 fuzzy linguistic term set and the K-medoids clustering algorithm, this paper improves the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to construct a subway resilience factor analysis model for emergencies. Through comparative analysis, this study confirms the superior performance of the proposed approach in enhancing the precision of the DEMATEL method. Findings The results indicate that the operation and management level of emergency command organizations is the key resilience factors of subway operations in China. Furthermore, based on real case analyses, the corresponding suggestions and measures are put forward to improve the overall operation resilience level of the subway. Originality/value This paper identifies four emergency scenarios and 15 resilience factors affecting subway operations through literature review and expert consultation. The improved fuzzy DEMATEL method is applied to explore the levels of influence and causal mechanisms among the resilience factors of the subway system under the four emergency scenarios.
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