Applying the extended parallel process model to understand households' responses to tornado and earthquake risks in Oklahoma.
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| Title: | Applying the extended parallel process model to understand households' responses to tornado and earthquake risks in Oklahoma. |
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| Authors: | Li Y; Department of Information Sciences and Technology, The State University of New York at Albany, Albany, New York, USA., Greer A; Department of Information Sciences and Technology, The State University of New York at Albany, Albany, New York, USA., Wu HC; University of North Texas, Denton, Texas, USA. |
| Source: | Risk analysis : an official publication of the Society for Risk Analysis [Risk Anal] 2024 Feb; Vol. 44 (2), pp. 408-424. Date of Electronic Publication: 2023 Jun 09. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Blackwell Publishers Country of Publication: United States NLM ID: 8109978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1539-6924 (Electronic) Linking ISSN: 02724332 NLM ISO Abbreviation: Risk Anal Subsets: MEDLINE; PubMed not MEDLINE |
| Imprint Name(s): | Publication: 2002- : Malden, MA : Blackwell Publishers Original Publication: New York : Plenum Press, c1981- |
| Abstract: | Oklahoma is a multihazard environment where both natural (e.g., tornadoes) and technological hazards (e.g., induced seismicity) are significant, making Oklahoma a unique setting to better understand how to manage and prepare for multiple hazards. While studies have attempted to understand drivers of hazard adjustments, few have focused on the overall number of adjustments undertaken instead of individual adjustments or adjustments in a multihazard environment. To address these gaps, we employ a survey sample of 866 households in Oklahoma to understand households' danger control responses (protective hazard adjustments) for tornado and earthquake risks in Oklahoma. We apply the extended parallel processing model (EPPM) to categorize respondents according to their relative level of perceived threat and efficacy of protective actions in predicting the number of hazard adjustments they intend to or have adopted in response to tornadoes and induced earthquakes. In line with the EPPM, we found that households have the highest number of danger control responses when their perceived threat and efficacy are both high. Counter to the EPPM literature, we found low threat coupled with high efficacy moved some individuals toward the adoption of danger control responses in response to both tornadoes and earthquakes. When households have high efficacy, threat appraisals matter in tornado danger control responses but not in earthquake danger control responses. This EPPM categorization opens new research approaches for studies of natural and technological hazards. This study also provides information for local officials and emergency managers making mitigation and preparedness investments and policies. (© 2023 Society for Risk Analysis.) |
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Computational Statistics & Data Analysis, 52(5), 2703-2713. |
| Grant Information: | CMMI 1827851 Division of Civil, Mechanical and Manufacturing Innovation |
| Contributed Indexing: | Keywords: Induced seismicity; Oklahoma; danger control responses; extended parallel processing model; tornadoes |
| Entry Date(s): | Date Created: 20230609 Latest Revision: 20240201 |
| Update Code: | 20260130 |
| DOI: | 10.1111/risa.14176 |
| PMID: | 37296491 |
| Database: | MEDLINE |
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