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Kyne–Donner Model of Authority’s Recommendation and Hurricane Evacuation Decisions: A Study of Hypothetical Hurricane Event in the Rio Grande Valley, Texas

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  • Dean Kyne

    (University of Texas Rio Grande Valley)

  • William Donner

    (University of Texas Rio Grande Valley)

Abstract

Many previous studies identified factors influencing hurricane evacuation decisions by testing the protective action decision model (PADM). This study further examines factors that affect the trust in authority’s recommendation and evacuation decision-making in a proposed Kyne–Donner Model. The model provides an understanding of the predictive factors influencing evacuation decision-making through the mediating factor of trust in authority’s recommendation. This study takes advantage of the structural equation modeling method to simultaneously test multi-stages of the model. There are factors, namely, age, gender, education, household size, decision maker, risk area, house materials, hurricane evacuation experience, information seeking frequency, information seeking behavior, and information sources which influence trust in authority’s recommendation which, together with hurricane evacuation impediments, influence the hurricane evacuation decision. The study’s findings are consistent with the PADM and demonstrate the importance of trust in authority’s recommendation and hurricane evacuation decision-making.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:poprpr:v:37:y:2018:i:6:d:10.1007_s11113-018-9492-2
    DOI: 10.1007/s11113-018-9492-2
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    References listed on IDEAS

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    2. Anyidoho, Prosper K. & Davidson, Rachel A. & Rambha, Tarun & Nozick, Linda K., 2022. "Prediction of population behavior in hurricane evacuations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 200-221.

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