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Title: Drivers of Household Risk Perceptions and Adjustment Intentions to Tornado Hazards in Oklahoma
Abstract Tornadoes are responsible for considerable property damage and loss of life across the state of Oklahoma. While several studies have explored drivers of tornado adjustment behaviors, their results are not consistent in terms of their significance and direction. To address this shortcoming in the literature, we surveyed households using a disproportionate stratified sampling procedure from counties in Oklahoma that frequently experience tornado threats to explore drivers of adjustments. We used Structural Equation Modeling (SEM) to explore relationships among variables highlighted in the Protection Motivation Theory (PMT) and related literature that affect adjustment intentions and risk perceptions. Overall, we found the factors highlighted in the PMT are effective at explaining households’ intentions of adopting adjustment behaviors associated with tornado hazards. Threat appraisals, however, were less important than coping appraisals in explaining tornado hazard adjustment intentions. In further analysis, we grouped adjustments as 1) basic (e.g., flashlight, food and water supply) and 2) complex (e.g., insurance, storm shelter), and found that while coping appraisals are significant drivers of both adjustment categories, the effect of threat appraisals is only significant for complex adjustment intentions. We also found that emotional responses to hazards are major drivers of threat appraisals, stronger than perceived knowledge and hazard salience. Moreover, we found that demographic characteristics affect both adjustment intentions and threat appraisals. The additions to the PMT and categorization of adjustment activities improve our understanding of the PMT in different contexts. Such insights provide scholars and emergency managers with strategies for risk communication efforts.  more » « less
Award ID(s):
2038637
NSF-PAR ID:
10350210
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Weather, Climate, and Society
ISSN:
1948-8327
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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