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Resilience–Vulnerability Analysis: A Decision-Making Framework for Systems Assessment

Author

Listed:
  • Nikolaos A. Skondras

    (Department of Natural Resources Development & Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece)

  • Demetrios E. Tsesmelis

    (Department of Natural Resources Development & Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece)

  • Constantina G. Vasilakou

    (Department of Natural Resources Development & Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece)

  • Christos A. Karavitis

    (Department of Natural Resources Development & Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece)

Abstract

The terms ‘resilience’ and ‘vulnerability’ have been widely used, with multiple interpretations in a plethora of disciplines. Such a variety may easily become confusing, and could create misconceptions among the different users. Policy makers who are bound to make decisions in key spatial and temporal points may especially suffer from these misconceptions. The need for decisions may become even more pressing in times of crisis, where the weaknesses of a system are exposed, and immediate actions to enhance the systemic strengths should be made. The analysis framework proposed in the current effort, and demonstrated in hypothetical forest fire cases, tries to focus on the combined use of simplified versions of the resilience and vulnerability concepts. Their relations and outcomes are also explored, in an effort to provide decision makers with an initial assessment of the information required to deal with complex systems. It is believed that the framework may offer some service towards the development of a more integrated and applicable tool, in order to further expand the concepts of resilience and vulnerability. Additionally, the results of the framework can be used as inputs in other decision making techniques and approaches. This increases the added value of the framework as a tool.

Suggested Citation

  • Nikolaos A. Skondras & Demetrios E. Tsesmelis & Constantina G. Vasilakou & Christos A. Karavitis, 2020. "Resilience–Vulnerability Analysis: A Decision-Making Framework for Systems Assessment," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9306-:d:442371
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    References listed on IDEAS

    as
    1. Demetrios E. Tsesmelis & Nikolaos A. Skondras & Syed Yasir Ahmad Khan & Elpida Kolokytha & Christos A. Karavitis, 2020. "Water, Sanitation and Hygiene (WASH) Index: Development and Application to Measure WASH Service Levels in European Humanitarian Camps," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2449-2470, June.
    2. W. Adger & P. Kelly, 1999. "Social Vulnerability to Climate Change and the Architecture of Entitlements," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 4(3), pages 253-266, September.
    3. Steffen, Will & Young, Oran R. & Grove, J. Morgan & Kofinas, Gary P. & Carpenter, Stephen R. & Folke, Carl & Abel, Nick & Olsson, Per & Smith, D. Mark Stafford & Walker, Brian & Berkes, Fikret & Biggs, 2010. "Ecosystem Stewardship: Sustainability Strategies for a Rapidly Changing Planet," Scholarly Articles 9774650, Harvard Kennedy School of Government.
    4. Robin Leichenko & Karen O'Brien, 2002. "The Dynamics of Rural Vulnerability to Global Change: The Case of southern Africa," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 7(1), pages 1-18, March.
    5. Neil Adger, W., 1999. "Social Vulnerability to Climate Change and Extremes in Coastal Vietnam," World Development, Elsevier, vol. 27(2), pages 249-269, February.
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    Cited by:

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    4. Mrinal Kanti Sen & Subhrajit Dutta & Golam Kabir, 2021. "Flood Resilience of Housing Infrastructure Modeling and Quantification Using a Bayesian Belief Network," Sustainability, MDPI, vol. 13(3), pages 1-24, January.

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