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  • Evacuate or social distance? Modeling the influence of threat perceptions on hurricane evacuation in a dual‐threat environment
Title: Evacuate or social distance? Modeling the influence of threat perceptions on hurricane evacuation in a dual‐threat environment
This study investigates how different risk predictors influenced households’ evacuation decisions during a dual‐threat event (Hurricane Laura and COVID‐19 pandemic). The Protective Action Decision Model (PADM) literature indicates that perceived threat variables are the most influential variables that drive evacuation decisions. This study applies the PADM to investigate a dual‐threat disaster that has conflicting protective action recommendations. Given the novelty, scale, span, impact, and messaging around COVID‐19, it is crucial to see how hurricanes along the Gulf Coast—a hazard addressed seasonally by residents with mostly consistent protective action messaging—produce different reactions in residents in this pandemic context. Household survey data were collected during early 2021 using a disproportionate stratified sampling procedure to include households located in mandatory and voluntary evacuation areas across the coastal counties in Texas and parishes in Louisiana that were affected by Hurricane Laura. Structural equation modeling was used to identify the relationships between perceived threats and evacuation decisions. The findings suggest affective risk perceptions strongly affected cognitive risk perceptions (CRPs). Notably, hurricane and COVID‐19 CRPs are significant predictors of hurricane evacuation decisions in different ways. Hurricane CRPs encourage evacuation, but COVID‐19 CRPs hinder evacuation decisions.  more » « less
Award ID(s):
2051578
PAR ID:
10478299
Author(s) / Creator(s):
; ; ;
Editor(s):
Cox, L. Anthony
Publisher / Repository:
Wiley
Date Published:
Journal Name:
Risk Analysis
ISSN:
0272-4332
Subject(s) / Keyword(s):
COVID-19 Hurricane Evacuation Hurricane Hazard Intrusiveness Optimistic Bias Risk Perception
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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