Quantifying Component Importance for Disaster Resilience of Communities with Interdependent Civil Infrastructure Systems

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.

Complex systems and network science: a survey

“…The following is an introduction to electing the key nodes or links for complex systems resilience from the organizational, social, economic, and engineering system domains. For the organizational system, Ruiz-Martin et al [196] represented people as nodes in the network and their communication relations as links and then studied what happens in the communication structure of the organization if a person disappears or if only communications are broken, which provides a cost-effective way to analyze organizational resilience. For the social system, Blagojevic et al [197] advanced a method based on Sobol's indices and a heuristic upper and lower bound search to measure the importance of vulnerability and recoverability of components for disaster resilience of communities.…”

A Demand-Supply Framework for Evaluating the Effect of Resource and Service Constraints on Community Disaster Resilience

“…The iRe-CoDeS framework also provides community disaster resilience quantification metrics that are consistent across various community subsystems and, thus, enable informed decision-making on improving disaster resilience. To date, iRe-CoDeS framework has been used to account for the accessibility of damaged component for repair [22] and the post-disaster inoperability of community infrastructure systems, their interdependency and its effects on users [21,23,24]. This paper further extends the iRe-CoDeS framework to simulate the process of overcoming recovery-impeding factors as well as resource and service constraints related to component recovery, using the same demand-supply approach previously used to simulate infrastructure interdependencies.…”

“…However, employing such detailed models increases the computational complexity of regional recovery simulations. Surrogate models of building structural behaviour [42] and recovery [43] are a promising approach towards solving the issue of increased computational effort.…”