Deterministic and fuzzy-based methods to evaluate community resilience

Omar Kammouh, Ali Zamani Noori, Veronica Taurino, Stephen A. Mahin, Gian Paolo Cimellaro*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

36 Citations (Scopus)
2 Downloads (Pure)

Abstract

Community resilience is becoming a growing concern for authorities and decision makers. This paper introduces two indicator-based methods to evaluate the resilience of communities based on the PEOPLES framework. PEOPLES is a multi-layered framework that defines community resilience using seven dimensions. Each of the dimensions is described through a set of resilience indicators collected from literature and they are linked to a measure allowing the analytical computation of the indicator’s performance. The first method proposed in this paper requires data on previous disasters as an input and returns as output a performance function for each indicator and a performance function for the whole community. The second method exploits a knowledge-based fuzzy modeling for its implementation. This method allows a quantitative evaluation of the PEOPLES indicators using descriptive knowledge rather than deterministic data including the uncertainty involved in the analysis. The output of the fuzzy-based method is a resilience index for each indicator as well as a resilience index for the community. The paper also introduces an open source online tool in which the first method is implemented. A case study illustrating the application of the first method and the usage of the tool is also provided in the paper.

Original languageEnglish
Pages (from-to)261-275
Number of pages15
JournalEarthquake Engineering and Engineering Vibration
Volume17
Issue number2
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • Deterministic approach
  • Earthquake resilience
  • fuzzy method
  • PEOPLES framework
  • resilience indicators

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