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应用扩展平行过程模型来理解俄克拉荷马州家庭对龙卷风及地震风险的应对。

Applying the extended parallel process model to understand households' responses to tornado and earthquake risks in Oklahoma.

作者信息

Li Yueqi, Greer Alex, Wu Hao-Che

机构信息

Department of Information Sciences and Technology, The State University of New York at Albany, Albany, New York, USA.

University of North Texas, Denton, Texas, USA.

出版信息

Risk Anal. 2024 Feb;44(2):408-424. doi: 10.1111/risa.14176. Epub 2023 Jun 9.

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.

摘要

俄克拉荷马州是一个多灾害环境,自然灾害(如龙卷风)和技术灾害(如诱发地震)都很严重,这使得俄克拉荷马州成为一个独特的环境,有助于更好地理解如何应对多种灾害并做好准备。虽然已有研究试图了解灾害调整的驱动因素,但很少有研究关注所采取的调整措施的总数,而不是个别调整措施或多灾害环境中的调整措施。为了填补这些空白,我们对俄克拉荷马州的866户家庭进行了抽样调查,以了解家庭针对该州龙卷风和地震风险的危险控制反应(保护性灾害调整)。我们应用扩展平行加工模型(EPPM),根据受访者对威胁的感知程度以及保护行动在预测他们打算采取或已经采取的应对龙卷风和诱发地震的灾害调整措施数量方面的有效性,对受访者进行分类。与EPPM一致,我们发现,当家庭对威胁的感知程度和有效性都很高时,他们采取的危险控制反应数量最多。与EPPM文献相反,我们发现低威胁与高有效性使一些人在应对龙卷风和地震时采取了危险控制反应。当家庭具有高有效性时,威胁评估在龙卷风危险控制反应中起作用,但在地震危险控制反应中不起作用。这种EPPM分类为自然和技术灾害研究开辟了新的研究途径。本研究还为地方官员和应急管理人员制定减灾和备灾投资及政策提供了信息。

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