相互依存
脆弱性(计算)
脆弱性评估
级联故障
系统体系
流量网络
公制(单位)
运筹学
计算机科学
业务
风险分析(工程)
系统设计
工程类
计算机安全
电力系统
数学优化
运营管理
数学
心理治疗师
法学
心理学
功率(物理)
心理弹性
物理
软件工程
量子力学
政治学
作者
Min Ouyang,Zhezhe Pan,Hong Liu,Yue He
标识
DOI:10.1016/j.ress.2015.05.013
摘要
Most of existing studies on vulnerability analysis of multiple infrastructure systems mainly focus on negative effects of interdependencies, which mean that failures in one system can propagate to other systems and aggravate the initial damage. In reality, there also exist positive effects of interdependencies, which are shown in complementary systems and mean that if one system fails another system can provide alternative services to satisfy customers׳ demands. Different types of transportation systems in a city or country are typical complementary systems. Taking railway and airline systems in China as an example, this paper proposes a network-based approach to model the vulnerability of complementary transportation systems, and based on this model, this paper further introduces a dynamic complementary strength metric, which can help decision makers design or select better complementary topologies from the vulnerability perspective. Also, based on a simple genetic algorithm, this paper analyzes whether critical components for single systems are still important when taking two systems as a whole for analysis. Results show that a protection strategy of hardening a few critical components is also good strategy for the combined system. In addition, the findings and several assumptions are further discussed to close the gap between theory and practice.
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