A Unified Framework for Evaluating the Resilience of Critical Infrastructure: Delphi Survey Approach

Bawantha Rathnayaka, Dilan Robert, Varuna Adikariwattage, Chandana Siriwardana, Lasantha Meegahapola, Sujeeva Setunge, Dilanthi Amaratunga

Research output: Contribution to journalArticlepeer-review

Abstract

This study advocates establishing an indicator system for Critical Infrastructure (CI) resilience assessment to ensure consistency and comparability in future endeavors. Resilience has emerged as a fundamental framework for effectively managing the performance of CIs in response to the challenges posed by disaster events. However, it is evident that a lack of uniformity exists in the choice and standardization of resilience assessment across the identified frameworks. This paper proposes key attributes for facilitating resilience assessment of CIs using an in-depth literature survey for identification and two rounds of Delphi survey in the Sri Lankan context for their verification. The literature survey has analyzed the resilience assessment attributes under four types of capacities: planning (anticipative), absorptive, restorative, and adaptive. Twenty-seven resilience attributes (Planning: 6; Absorptive: 12; Restorative: 6; Adaptive: 3) under different capacities were identified, including sub-indicators for evaluating each resilience attribute. Outcomes of the Delphi survey were analyzed through descriptive statistics. The proposed attributes received high levels of agreement from the experts, indicating their suitability and applicability for assessing the resilience of the CIs. The mean ratings of the attributes varied from 4.0 to 5.0, with the majority exceeding 4.5 out of 5. The evaluation of these attributes will be useful for assessing the resilience capacity of the CIs and thereby to model the overall resilience of the CIs. The results of this study will provide a solid basis for formulating hypotheses in future research aimed at assessing CI resilience.

Original languageEnglish
Article number104598
Number of pages25
JournalInternational Journal of Disaster Risk Reduction
Volume110
Early online date26 Jun 2024
DOIs
Publication statusE-pub ahead of print - 26 Jun 2024

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