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Dynamic Simulation as an Approach to Understanding Hurricane Risk Response: Insights from the Stormview Lab

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  • Robert Meyer
  • Kenneth Broad
  • Ben Orlove
  • Nada Petrovic

Abstract

This article investigates the use of dynamic laboratory simulations as a tool for studying decisions to prepare for hurricane threats. A prototype web‐based simulation named Stormview is described that allows individuals to experience the approach of a hurricane in a computer‐based environment. In Stormview participants can gather storm information through various media, hear the opinions of neighbors, and indicate intentions to take protective action. We illustrate how the ability to exert experimental control over the information viewed by participants can be used to provide insights into decision making that would be difficult to gain from field studies, such as how preparedness decisions are affected by the nature of news coverage of prior storms, how a storm's movement is depicted in graphics, and the content of word‐of‐mouth communications. Data from an initial application involving a sample of Florida residents reveal a number of unexpected findings about hurricane risk response. Participants who viewed forecast graphics, which contained track lines depicting the most likely path of the storm, for example, had higher levels of preparation than those who saw graphics that showed only uncertainty cones—even among those living far from the predicted center path. Similarly, the participants who were most likely to express worry about an approaching storm and fastest to undertake preparatory action were those who, ironically, had never experienced one. Finally, external validity is evidenced by a close rank‐order correspondence between patterns of information use revealed in the lab and that found in previous cross‐sectional field studies.

Suggested Citation

  • Robert Meyer & Kenneth Broad & Ben Orlove & Nada Petrovic, 2013. "Dynamic Simulation as an Approach to Understanding Hurricane Risk Response: Insights from the Stormview Lab," Risk Analysis, John Wiley & Sons, vol. 33(8), pages 1532-1552, August.
  • Handle: RePEc:wly:riskan:v:33:y:2013:i:8:p:1532-1552
    DOI: 10.1111/j.1539-6924.2012.01935.x
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    Cited by:

    1. Eva D. Regnier & Cameron A. MacKenzie, 2019. "The Hurricane Decision Simulator: A Tool for Marine Forces in New Orleans to Practice Operations Management in Advance of a Hurricane," Service Science, INFORMS, vol. 21(1), pages 103-120, January.
    2. Yaodong Yang & Huaqing Ren & Han Zhang, 2022. "Understanding Consumer Panic Buying Behaviors during the Strict Lockdown on Omicron Variant: A Risk Perception View," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    3. Rebecca R. Thompson & Dana Rose Garfin & Roxane Cohen Silver, 2017. "Evacuation from Natural Disasters: A Systematic Review of the Literature," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 812-839, April.
    4. Hao‐Che Wu & Michael K. Lindell & Carla S. Prater, 2015. "Process Tracing Analysis of Hurricane Information Displays," Risk Analysis, John Wiley & Sons, vol. 35(12), pages 2202-2220, December.
    5. Ronald L. Schumann & Kevin D. Ash & Gregg C. Bowser, 2018. "Tornado Warning Perception and Response: Integrating the Roles of Visual Design, Demographics, and Hazard Experience," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 311-332, February.
    6. Jeffrey K. Lazo & Ann Bostrom & Rebecca E. Morss & Julie L. Demuth & Heather Lazrus, 2015. "Factors Affecting Hurricane Evacuation Intentions," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1837-1857, October.
    7. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2020. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.
    8. Mol, Jantsje M. & Botzen, W.J. Wouter & Blasch, Julia E., 2020. "Behavioral motivations for self-insurance under different disaster risk insurance schemes," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 967-991.
    9. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2021. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.

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