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Communicating Geographical Risks in Crisis Management: The Need for Research

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Listed:
  • Simon French
  • Nikolaos Argyris
  • Stephanie M. Haywood
  • Matthew C. Hort
  • Jim Q. Smith

Abstract

In any crisis, there is a great deal of uncertainty, often geographical uncertainty or, more precisely, spatiotemporal uncertainty. Examples include the spread of contamination from an industrial accident, drifting volcanic ash, and the path of a hurricane. Estimating spatiotemporal probabilities is usually a difficult task, but that is not our primary concern. Rather, we ask how analysts can communicate spatiotemporal uncertainty to those handling the crisis. We comment on the somewhat limited literature on the representation of spatial uncertainty on maps. We note that many cognitive issues arise and that the potential for confusion is high. We note that in the early stages of handling a crisis, the uncertainties involved may be deep, i.e., difficult or impossible to quantify in the time available. In such circumstance, we suggest the idea of presenting multiple scenarios.

Suggested Citation

  • Simon French & Nikolaos Argyris & Stephanie M. Haywood & Matthew C. Hort & Jim Q. Smith, 2019. "Communicating Geographical Risks in Crisis Management: The Need for Research," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 9-16, January.
    • Handle: RePEc:wly:riskan:v:39:y:2019:i:1:p:9-16
    DOI: 10.1111/risa.12904
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    References listed on IDEAS

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    Cited by:

    1. Nikolaos Argyris & Valentina Ferretti & Simon French & Seth Guikema & Gilberto Montibeller, 2019. "Advances in Spatial Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 1-8, January.
    2. Vicki Bier, 2020. "The Role of Decision Analysis in Risk Analysis: A Retrospective," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2207-2217, November.

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