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Perceptions, behavioral expectations, and implementation timing for response actions in a hurricane emergency

Author

Listed:
  • Shih-Kai Huang

    (Jacksonville State University)

  • Hao-Che Wu

    (Oklahoma State University)

  • Michael K. Lindell

    (University of Washington)

  • Hung-Lung Wei

    (John Jay College of Criminal Justice, CUNY)

  • Charles D. Samuelson

    (Texas A&M University)

Abstract

This study examined the perceived attributes, behavioral expectations, and expected implementation timing of 11 organizational emergency response actions for hurricane emergencies. The perceived attributes of the hurricane response actions were characterized by two hazard-related attributes (effectiveness for person protection and property protection) and five resource-related attributes (financial costs, required knowledge/skill, required equipment, required time/effort, and required cooperation). A total of 155 introductory psychology students responded to a hypothetical scenario involving an approaching Category 4 hurricane. The data collected in this study explain previous findings of untimely protective action decision making. Specifically, these data reveal distinctly different patterns for the expected implementation of preparatory actions and evacuation recommendations. Participants used the hazard-related and resource-related attributes to differentiate among the response actions and the expected timing of implementation. Moreover, participants’ behavioral expectations and expected implementation timing for the response actions were most strongly correlated with those actions’ effectiveness for person protection. Finally, participants reported evacuation implementation times that were consistent with a phased evacuation strategy in which risk areas are evacuated in order of their proximity to the coast. However, the late initiation of evacuation in risk areas closest to the coast could lead to very late evacuation of risk areas farther inland.

Suggested Citation

  • Shih-Kai Huang & Hao-Che Wu & Michael K. Lindell & Hung-Lung Wei & Charles D. Samuelson, 2017. "Perceptions, behavioral expectations, and implementation timing for response actions in a hurricane emergency," 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(1), pages 533-558, August.
  • Handle: RePEc:spr:nathaz:v:88:y:2017:i:1:d:10.1007_s11069-017-2877-4
    DOI: 10.1007/s11069-017-2877-4
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    References listed on IDEAS

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    1. Michael Lindell & Jung Kang & Carla Prater, 2011. "The logistics of household hurricane evacuation," 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. 58(3), pages 1093-1109, September.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. Michael Lindell & Carla Prater, 2007. "A hurricane evacuation management decision support system (EMDSS)," 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. 40(3), pages 627-634, March.
    4. 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.
    5. Karen Chinander Dye & J. P. Eggers & Zur Shapira, 2014. "Trade-offs in a Tempest: Stakeholder Influence on Hurricane Evacuation Decisions," Organization Science, INFORMS, vol. 25(4), pages 1009-1025, August.
    6. Yue ‘Gurt’ Ge & Michael K Lindell, 2016. "County planners’ perceptions of land-use planning tools for environmental hazard mitigation: A survey in the U.S. Pacific states," Environment and Planning B, , vol. 43(4), pages 716-736, July.
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    Cited by:

    1. 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.
    2. Dian Sun & Jee Eun Kang & Rajan Batta & Yan Song, 2017. "Optimization of Evacuation Warnings Prior to a Hurricane Disaster," Sustainability, MDPI, vol. 9(11), pages 1-29, November.

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