适应性
弹性(材料科学)
城市化
功能(生物学)
公共交通
运输工程
适应(眼睛)
风险分析(工程)
持续性
计算机科学
业务
工程类
经济
生物
物理
生态学
热力学
经济增长
光学
管理
进化生物学
作者
Changkun Chen,Fan He,Rongfu Yu,Siqi Wang,Qile Dai
标识
DOI:10.1016/j.jnlssr.2023.10.001
摘要
Urbanization and the increasing frequency of extreme climates affect the sustainability of urban public transportation systems, and improving resilience is one of the primary directions for sustainable development. To scientifically assess the resilience of urban public transportation systems, a resilience assessment model based on structure and function is established in this study. This model mathematically quantifies and simulates the structural and functional changes in public transportation systems under disruption scenarios and provides a comprehensive assessment of six abilities: 1) structural resistance, 2) structural recoverability, 3) functional resistance, 4) functional recoverability, 5) passenger adaptability, and 6) management adaptability. Depending on the initial failure stations, this model can simulate the resilience of a public transportation system under various scenarios. This model is applied to assess the resilience of public transportation systems in a provincial capital city under an equipment failure scenario. The results show that the impact of equipment failure on resilience varies according to the metro lines, and improvement strategies for functional recoverability and management adaptability are proposed. The weaknesses in the resilience of urban public transportation systems can be identified using the proposed model, which helps provide strategies for improving the capacity to face perturbations.
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