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Strike probability judgments and protective action recommendations in a dynamic hurricane tracking task

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  • Hao-Che Wu
  • Michael Lindell
  • Carla Prater

Abstract

This experiment assessed the strike probability (p s ) judgments and protective action recommendations (PARs) of students playing the roles of county emergency managers during four different hurricane scenarios. The results show that participants’ p s judgments (1) increased for target cities (projected landfall locations) and generally decreased for adjacent cities and remote cities as hurricanes approached landfall, and (2) were significantly correlated with PARs, but (3) were not consistent with the requirement that Σp s > 1.0 for a set of non-exhaustive events. Participants also (4) chose more PARs as hurricanes approached landfall, especially for the counties to which they participants were assigned, but (5) failed to choose as many PARS as appropriate, especially evacuating areas at risk of hurricane impacts. Overall, the results suggest that participants were able to utilize the available hurricane information to make reasonable p s judgments, but failed to make the appropriate inferences about the significance of those p s judgments. This suggests a need for further research on people’s interpretation of threat information, development of better training manuals on hurricane evacuation decision making, and better hurricane information displays to guide people’s responses to hurricane threats. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Hao-Che Wu & Michael Lindell & Carla Prater, 2015. "Strike probability judgments and protective action recommendations in a dynamic hurricane tracking task," 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. 79(1), pages 355-380, October.
  • Handle: RePEc:spr:nathaz:v:79:y:2015:i:1:p:355-380
    DOI: 10.1007/s11069-015-1846-z
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    References listed on IDEAS

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    1. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521845724, October.
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    3. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521608268, October.
    4. Chih-Chun Lin & Laura Siebeneck & Michael Lindell & Carla Prater & Hao-Che Wu & Shih-Kai Huang, 2014. "Evacuees’ information sources and reentry decision making in the aftermath of Hurricane Ike," 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. 70(1), pages 865-882, January.
    5. Lindell, Michael K., 2008. "EMBLEM2: An empirically based large scale evacuation time estimate model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 140-154, January.
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    Cited by:

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    2. Peng Cheng & Jiuchang Wei & Yue Ge, 2017. "Who should be blamed? The attribution of responsibility for a city smog event in China," 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. 85(2), pages 669-689, January.
    3. Dean Kyne & William Donner, 2018. "Kyne–Donner Model of Authority’s Recommendation and Hurricane Evacuation Decisions: A Study of Hypothetical Hurricane Event in the Rio Grande Valley, Texas," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(6), pages 897-922, December.

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