A resilience assessment framework for urban transportation systems

弹性(材料科学) 稳健性(进化) 流量网络 GSM演进的增强数据速率 顶点(图论) 风险分析(工程) 运输工程 计算机科学 工程类 业务 数学优化 人工智能 数学 图形 物理 基因 热力学 理论计算机科学 化学 生物化学
作者
Yue Gao,Junwei Wang
出处
期刊:International Journal of Production Research [Taylor & Francis]
卷期号:59 (7): 2177-2192 被引量:34
标识
DOI:10.1080/00207543.2020.1847339
摘要

Unexpected disruptions in an urban transportation system may severely damage its structure and functionality. The resilience of urban transportation networks, i.e. the ability to recover from destroyed conditions, is thus significant for the mobility of passengers and freight in cities. However, its definition and measurement have been confused with robustness. This research advances a trackable assessment framework for the resilience of two typical urban transportation modes, i.e. road system and metro system, considering the characteristics of their structure and functionality. Individual vertex-based and edge-based failure models are established for the two transportation systems based on their network models. The proposed measurement approach is applied to an inner-city road freight system and the metro system in Hangzhou, China, to analyse their resilience, considering different combinations of vertex-based and edge-based failures. The proposed approach is compared with an efficiency-based resilience measurement method and outperforms in two parts. First, it has a broader application than previous related methods because it can describe disruptions occurring on one directed vertex or edge using a directed network model. Second, the new method outputs more reliable results due to considering more structural and functional characteristics of urban transportation systems than previous methods.
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