Literature DB >> 25808298

Operational models of infrastructure resilience.

David L Alderson1, Gerald G Brown1, W Matthew Carlyle1.   

Abstract

We propose a definition of infrastructure resilience that is tied to the operation (or function) of an infrastructure as a system of interacting components and that can be objectively evaluated using quantitative models. Specifically, for any particular system, we use quantitative models of system operation to represent the decisions of an infrastructure operator who guides the behavior of the system as a whole, even in the presence of disruptions. Modeling infrastructure operation in this way makes it possible to systematically evaluate the consequences associated with the loss of infrastructure components, and leads to a precise notion of "operational resilience" that facilitates model verification, validation, and reproducible results. Using a simple example of a notional infrastructure, we demonstrate how to use these models for (1) assessing the operational resilience of an infrastructure system, (2) identifying critical vulnerabilities that threaten its continued function, and (3) advising policymakers on investments to improve resilience.
© 2014 Society for Risk Analysis.

Keywords:  Attacker-defender; infrastructure; optimization; resilience; system operation

Year:  2015        PMID: 25808298     DOI: 10.1111/risa.12333

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  3 in total

1.  Resilience and efficiency in transportation networks.

Authors:  Alexander A Ganin; Maksim Kitsak; Dayton Marchese; Jeffrey M Keisler; Thomas Seager; Igor Linkov
Journal:  Sci Adv       Date:  2017-12-20       Impact factor: 14.136

2.  Human-centric infrastructure resilience: Uncovering well-being risk disparity due to infrastructure disruptions in disasters.

Authors:  Jennifer S Dargin; Ali Mostafavi
Journal:  PLoS One       Date:  2020-06-18       Impact factor: 3.240

3.  An experimental investigation of resilience decision making in repeated disasters.

Authors:  Noah C Dormady; Robert T Greenbaum; Kim A Young
Journal:  Environ Syst Decis       Date:  2021-06-07
  3 in total

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