A Multicriteria Decision Analytic Approach to Systems Resilience

Abstract This article develops a novel decision-oriented framework that strategically deconstructs systems resilience in a way that focuses on systems’ design, capabilities, and management. The framework helps evaluate and compare how system design choices impact system resilience. First, we propose a resilience score based on a piecewise linear approximation to a resilience curve. Using multicriteria decision analysis principles, we score system design alternatives in terms of system-specific capabilities. We estimate the relevance of these capabilities to resilience curve parameters associated with resilience phases. Finally, we interpret the derivatives of resilience with respect to the curve parameter values as the leverage of these parameters. Using multiple levels of weighted sums of the scores, we calculate the first order impact of system design choices first on a proxy for the generic resilience parameters and then on resilience, which allows situational characteristics to be incorporated in their natural terminology while mapping their impact on resilience with a traceable logic. We illustrate the approach by using existing materials to develop an example comparing engineered designs for minimizing post-wildfire flood impacts.

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Publication Details

Journal
International Journal of Disaster Risk Science
Published
2024-10-01
DOI
https://doi.org/10.1007/s13753-024-00587-1
Citations
5
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
1.30
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article

A Multicriteria Decision Analytic Approach to Systems Resilience

Emily Wells, Jeffrey M. Keisler, Igor Linkov
5 citations
International Journal of Disaster Risk Science
Infrastructure Resilience and Vulnerability Analysis
1.30
article

A Multicriteria Decision Analytic Approach to Systems Resilience

Emily Wells, Jeffrey M. Keisler, Igor Linkov
article en
5 citations

Abstract

Abstract This article develops a novel decision-oriented framework that strategically deconstructs systems resilience in a way that focuses on systems’ design, capabilities, and management. The framework helps evaluate and compare how system design choices impact system resilience. First, we propose a resilience score based on a piecewise linear approximation to a resilience curve. Using multicriteria decision analysis principles, we score system design alternatives in terms of system-specific capabilities. We estimate the relevance of these capabilities to resilience curve parameters associated with resilience phases. Finally, we interpret the derivatives of resilience with respect to the curve parameter values as the leverage of these parameters. Using multiple levels of weighted sums of the scores, we calculate the first order impact of system design choices first on a proxy for the generic resilience parameters and then on resilience, which allows situational characteristics to be incorporated in their natural terminology while mapping their impact on resilience with a traceable logic. We illustrate the approach by using existing materials to develop an example comparing engineered designs for minimizing post-wildfire flood impacts.

International Journal of Disaster Risk ScienceVol. 15(5)
University of Florida (US), University of Massachusetts Boston (US), U.S. Army Engineer Research and Development Center (US)
Climate action
Openalex Percentile: Top 21%
Infrastructure Resilience and Vulnerability Analysis
1.30
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