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Near-miss events, risk messages, and decision making

Author

Listed:
  • Robin L. Dillon

    (Georgetown University)

  • Catherine H. Tinsley

    (Georgetown University)

Abstract

Decades of research have sought to understand how disaster preparedness decisions are made. We believe one understudied factor is the impact of near-miss events. A near-miss occurs when an event (such as a hurricane or terrorist attack) has some non-trivial probability of ending in disaster (loss of life, property damage), but the negative outcome is avoided largely by chance (e.g., at the last minute, the storm dissipates or the bomb fails to detonate). In the first of two experiments, we study reactions to a hurricane threat when participants are told about prior near-miss events. We find that people with information about a prior near-miss event that has no negative consequences are less likely to take protective measures than those with either no information or information about a prior near-miss event that has salient negative information. Similar results have been shown in prior research, but we seek to understand people’s reasoning for the different reactions. We examine the role of an individual’s risk propensity and general level of optimism as possible explanatory variables for the “near-miss” effect. We find risk propensity to be stable across conditions, whereas general optimism is influenced by the type of prior near-miss information, so that optimism mediates how near-miss information impacts protective decisions. People who experience a potentially hazardous near-miss but escape without obvious cues of damage will feel more optimistic and take less protective action. In the second study, we test messages about the hazard’s risk and examine the impact of these messages to offset the influence of near-misses. We end by discussing the implications of near-misses for risk communication.

Suggested Citation

  • Robin L. Dillon & Catherine H. Tinsley, 2016. "Near-miss events, risk messages, and decision making," Environment Systems and Decisions, Springer, vol. 36(1), pages 34-44, March.
  • Handle: RePEc:spr:envsyd:v:36:y:2016:i:1:d:10.1007_s10669-015-9578-x
    DOI: 10.1007/s10669-015-9578-x
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    References listed on IDEAS

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    1. R.S. Wilson & J.L. Arvai, 2010. "Why less is more: exploring affect-based value neglect," Journal of Risk Research, Taylor & Francis Journals, vol. 13(4), pages 399-409, June.
    2. Theresa K. Lant, 1992. "Aspiration Level Adaptation: An Empirical Exploration," Management Science, INFORMS, vol. 38(5), pages 623-644, May.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Heather Rosoff & Jinshu Cui & Richard S. John, 2013. "Heuristics and biases in cyber security dilemmas," Environment Systems and Decisions, Springer, vol. 33(4), pages 517-529, December.
    5. Catherine H. Tinsley & Robin L. Dillon & Matthew A. Cronin, 2012. "How Near-Miss Events Amplify or Attenuate Risky Decision Making," Management Science, INFORMS, vol. 58(9), pages 1596-1613, September.
    6. Robin L. Dillon & Catherine H. Tinsley, 2008. "How Near-Misses Influence Decision Making Under Risk: A Missed Opportunity for Learning," Management Science, INFORMS, vol. 54(8), pages 1425-1440, August.
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    Cited by:

    1. Kathleen Sherman-Morris & Idamis Valle-Martinez, 2017. "Optimistic bias and the consistency of hurricane track forecasts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1523-1543, September.
    2. A. Dana Ménard & Chris Houser & Robert W. Brander & Sarah Trimble & Alexandra Scaman, 2018. "The psychology of beach users: importance of confirmation bias, action, and intention to improving rip current safety," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 953-973, November.
    3. Javiera V. Castañeda & Nicolás C. Bronfman & Pamela C. Cisternas & Paula B. Repetto, 2020. "Understanding the culture of natural disaster preparedness: exploring the effect of experience and sociodemographic predictors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 1881-1904, September.
    4. Zachary A. Collier & James H. Lambert & Igor Linkov, 2016. "Introduction to the first general issue of 2016," Environment Systems and Decisions, Springer, vol. 36(1), pages 1-2, March.
    5. Zhipeng Zhou & Chaozhi Li & Chuanmin Mi & Lingfei Qian, 2019. "Exploring the Potential Use of Near-Miss Information to Improve Construction Safety Performance," Sustainability, MDPI, vol. 11(5), pages 1-21, February.

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