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Features of resilience

Author

Listed:
  • Elizabeth B. Connelly

    (National Renewable Energy Laboratory)

  • Craig R. Allen

    (University of Nebraska – Lincoln)

  • Kirk Hatfield

    (University of Florida)

  • José M. Palma-Oliveira

    (Lisbon University)

  • David D. Woods

    (The Ohio State University)

  • Igor Linkov

    (US Army Engineer Research and Development Center)

Abstract

The National Academy of Sciences (NAS) definition of resilience is used here to organize common concepts and synthesize a set of key features of resilience that can be used across diverse application domains. The features in common include critical functions (services), thresholds, cross-scale (both space and time) interactions, and memory and adaptive management. We propose a framework for linking these features to the planning, absorbing, recovering, and adapting phases identified in the NAS definition. The proposed delineation of resilience can be important in understanding and communicating resilience concepts.

Suggested Citation

  • Elizabeth B. Connelly & Craig R. Allen & Kirk Hatfield & José M. Palma-Oliveira & David D. Woods & Igor Linkov, 2017. "Features of resilience," Environment Systems and Decisions, Springer, vol. 37(1), pages 46-50, March.
    • Handle: RePEc:spr:envsyd:v:37:y:2017:i:1:d:10.1007_s10669-017-9634-9
    DOI: 10.1007/s10669-017-9634-9
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    References listed on IDEAS

    as
    1. J. Park & T. P. Seager & P. S. C. Rao & M. Convertino & I. Linkov, 2013. "Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 356-367, March.
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    Cited by:

    1. Béné, Christophe & d'Hôtel, Elodie Maître & Pelloquin, Raphaël & Badaoui, Outman & Garba, Faroukou & Sankima, Jocelyne W., 2024. "Resilience – and collapse – of local food systems in conflict affected areas; reflections from Burkina Faso," World Development, Elsevier, vol. 176(C).
    2. Igor Linkov & Benjamin Trump & Greg Kiker, 2022. "Diversity and inclusiveness are necessary components of resilient international teams," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-5, December.
    3. Alexander Stolz & Jet Hoe Tang & Stefan G. Fischer & Kai Fischer, 2024. "A rheological model analog for assessing the resilience of socio-technical systems across sectors," Environment Systems and Decisions, Springer, vol. 44(4), pages 922-945, December.
    4. Bostick, T.P. & Connelly, E.B. & Lambert, J.H. & Linkov, I., 2018. "Resilience science, policy and investment for civil infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 19-23.
    5. Ghaneshvar Ramineni & Nafiseh Ghorbani-Renani & Kash Barker & Andrés D. González & Talayeh Razzaghi & Sridhar Radhakrishnan, 2023. "Machine learning approaches to modeling interdependent network restoration time," Environment Systems and Decisions, Springer, vol. 43(1), pages 22-35, March.
    6. Adrian J. Hickford & Simon P. Blainey & Alejandro Ortega Hortelano & Raghav Pant, 2018. "Resilience engineering: theory and practice in interdependent infrastructure systems," Environment Systems and Decisions, Springer, vol. 38(3), pages 278-291, September.
    7. Shalini Sahni & Shyama Kumari & Prachi Pachaury, 2021. "Building Emotional Resilience with Big Five Personality Model Against COVID-19 Pandemic," FIIB Business Review, , vol. 10(1), pages 39-51, March.
    8. Noah C. Dormady & Robert T. Greenbaum & Kim A. Young, 2021. "An experimental investigation of resilience decision making in repeated disasters," Environment Systems and Decisions, Springer, vol. 41(4), pages 556-576, December.

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