Quantifying component importance for disaster resilience of communities with interdependent civil infrastructure systems

N. Blagojević, M. Didier, B. Stojadinović
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引用次数: 12

Abstract

Communities and their supporting civil infrastructure systems can be viewed as an assembly of, often numerous, interacting components. Tools that can identify components relevant for community disaster resilience can help to efficiently allocate limited resources to reach community resilience goals. We use Sobol’ indices to measure the importance of vulnerability and recoverability of components for disaster resilience of communities with interdependent civil infrastructure systems. The initial component importance analysis requires no prior knowledge regarding component’s vulnerability and recoverability. We first rank components based on their importance, using their Sobol’ indices. Secondly, we illustrate how the results of the component importance analysis can be used to improve community disaster resilience. Finally, we use component importance to show how model complexity can be reduced by abstracting less important components.
量化具有相互依赖的民用基础设施系统的社区抗灾能力的组成部分的重要性
社区及其配套的民用基础设施系统可被视为一个通常由众多相互作用的部件组成的集合。能够识别与社区抗灾能力相关的组成部分的工具可以帮助有效地分配有限的资源,以实现社区抗灾能力目标。我们使用Sobol指数来衡量具有相互依赖的民用基础设施系统的社区的脆弱性和可恢复性的重要性。初始组件重要性分析不需要预先了解组件的脆弱性和可恢复性。我们首先根据它们的重要性,使用它们的Sobol指数对组件进行排名。其次,我们说明了如何利用成分重要性分析的结果来提高社区的抗灾能力。最后,我们使用组件重要性来展示如何通过抽象不太重要的组件来降低模型复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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