Quantitative resilience assessment on critical infrastructures – A systematic literature review of the last decade (2014-2024)

The everyday functioning of infrastructures and the capacity of their owners to provide high-quality services are critical to the well-being of communities and societies. When disruptions endanger society's well-being, security, and economy, some of these infrastructures are relevant and, as a result, are designated as critical for an entire nation. Therefore, research has focused on a peculiar infrastructure ability, or capacity, that summarizes these concepts in one word: resilience; its quantification, however, is not straightforward. Many authors have attempted to assess resilience using different subjects, infrastructures, resilience phases, and models. Therefore, through a systematic literature review based on the PRISMA protocol, this work presents an overview of quantitative methods and techniques developed over the past decade to numerically assess the resilience of critical infrastructures (CIs). A total of 111 papers were included in the study, which focused on studies published between April 2014 and April 2024. This article focuses on a model-based classification, highlighting strengths and weaknesses in the proposed methodologies, and performs a SWOT analysis on the modeling approaches identified within the retrieved papers. Future works could be useful to extend this research to those papers that describe and quantify single domains, stages, and features of CIs resilience, exploring the possibility of searching protocols to identify and correctly address them.

Authors

Publication Details

Journal
Journal of Safety Science and Resilience
Published
2025-04-08
DOI
https://doi.org/10.1016/j.jnlssr.2025.02.002
Citations
5
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
4.77
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article

Quantitative resilience assessment on critical infrastructures – A systematic literature review of the last decade (2014-2024)

Marta Galuppi, Davide Berardi, Mara Lombardi, Andrea De Marco
5 citations
Journal of Safety Science and Resilience
Infrastructure Resilience and Vulnerability Analysis
4.77
article

Quantitative resilience assessment on critical infrastructures – A systematic literature review of the last decade (2014-2024)

Marta Galuppi, Davide Berardi, Mara Lombardi, Andrea De Marco
article en
5 citations

Abstract

The everyday functioning of infrastructures and the capacity of their owners to provide high-quality services are critical to the well-being of communities and societies. When disruptions endanger society's well-being, security, and economy, some of these infrastructures are relevant and, as a result, are designated as critical for an entire nation. Therefore, research has focused on a peculiar infrastructure ability, or capacity, that summarizes these concepts in one word: resilience; its quantification, however, is not straightforward. Many authors have attempted to assess resilience using different subjects, infrastructures, resilience phases, and models. Therefore, through a systematic literature review based on the PRISMA protocol, this work presents an overview of quantitative methods and techniques developed over the past decade to numerically assess the resilience of critical infrastructures (CIs). A total of 111 papers were included in the study, which focused on studies published between April 2014 and April 2024. This article focuses on a model-based classification, highlighting strengths and weaknesses in the proposed methodologies, and performs a SWOT analysis on the modeling approaches identified within the retrieved papers. Future works could be useful to extend this research to those papers that describe and quantify single domains, stages, and features of CIs resilience, exploring the possibility of searching protocols to identify and correctly address them.

Journal of Safety Science and ResilienceVol. 6(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Infrastructure Resilience and Vulnerability Analysis
4.77
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