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Deterministic and fuzzy-based methods to evaluate community resilience

  • Special Section: Tenth Anniversary of the 2008 Wenchuan Earthquake
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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.

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Acknowledgement

The research leading to these results has received funding from the European Research Council under the Grant Agreement No. ERC_IDEAL RESCUE_637842 of the project IDEAL RESCUE—Integrated Design and Control of Sustainable Communities during Emergencies.

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Authors and Affiliations

  1. Department of Civil, Structural & Geotechnical Engineering, , Politecnico di Torino, Torino, Italy

    Omar Kammouh, Ali Zamani Noori & Veronica Taurino

  2. SimCenter, Byron and Elvira Nishkian Professor of Structural Engineering, 777 Davis Hall, University of California, Berkeley, CA, 94720-1710, USA

    Stephen A. Mahin

  3. Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA

    Gian Paolo Cimellaro

Authors
  1. Omar Kammouh
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  2. Ali Zamani Noori
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  3. Veronica Taurino
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  4. Stephen A. Mahin
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  5. Gian Paolo Cimellaro
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Corresponding author

Correspondence to Gian Paolo Cimellaro.

Additional information

Supported by: European Research Council under Grant Agreement No. ERC_IDEAL RESCUE_637842 of the project IDEAL RESCUE—Integrated Design and Control of Sustainable Communities during Emergencies

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Kammouh, O., Noori, A.Z., Taurino, V. et al. Deterministic and fuzzy-based methods to evaluate community resilience. Earthq. Eng. Eng. Vib. 17, 261–275 (2018). https://doi.org/10.1007/s11803-018-0440-2

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  • DOI: https://doi.org/10.1007/s11803-018-0440-2

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