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On the perceived usefulness of risk descriptions for decision-making in disaster risk management

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  • Lin, Lexin
  • Nilsson, Anders
  • Sjölin, Johan
  • Abrahamsson, Marcus
  • Tehler, Henrik

Abstract

Managing risk using an “all-hazards†and “whole of society†-approach involves extensive communication of risk descriptions among many stakeholders. In the present study we investigate how professionals working with disaster risk management in such contexts perceive the usefulness of different descriptions of risk. Empirical data from the Swedish disaster risk management system were used in an attempt to investigate the aspects of a risk description that affect its usefulness (as perceived by professionals). Thirty-three local municipal risk and vulnerability assessments (RVA documents) produced in the region of Scania in 2012 were analyzed in terms of six variables. The documents were then ranked by professionals based on their perceived usefulness for decision-making. Statistical analysis was conducted to identify any possible correlations between the overall ranking of the usefulness of the municipal RVA:s and each of the variables. We conclude that the way the likelihood and consequences of scenarios are described influence the perceived usefulness of a risk description. Furthermore, whether descriptions of scenarios are included in a risk description or not, and whether background information concerning the likelihood of scenarios are included also influence perceived usefulness of risk descriptions.

Suggested Citation

  • Lin, Lexin & Nilsson, Anders & Sjölin, Johan & Abrahamsson, Marcus & Tehler, Henrik, 2015. "On the perceived usefulness of risk descriptions for decision-making in disaster risk management," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 48-55.
    • Handle: RePEc:eee:reensy:v:142:y:2015:i:c:p:48-55
    DOI: 10.1016/j.ress.2015.04.012
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    References listed on IDEAS

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    Cited by:

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    2. Shortridge, Julie & Aven, Terje & Guikema, Seth, 2017. "Risk assessment under deep uncertainty: A methodological comparison," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 12-23.
    3. Shaoqing Geng & Hanping Hou, 2021. "Demand Stratification and Prediction of Evacuees after Earthquakes," Sustainability, MDPI, vol. 13(16), pages 1-22, August.

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