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.

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

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.

"Upheaval": Unpacking the dynamic balance between place attachment and social capital in disaster recovery.

A growing body of literature demonstrates that both place attachment and social capital play considerable, and likely interdependent, roles in disaster recovery. This paper contributes to our understanding of these constructs by presenting findings from a longitudinal, mixed-methods study of communities impacted by a home buyout program implemented in New York after Hurricane Sandy (N = 111). Results suggest a dynamic balance between place dependence, place identity, and bonding social capital, in which the relative importance of each construct can shift over time, and where losses in one of these areas may lead to cascading losses in the other areas. For buyout participants, increases in place dependence were associated with increases in bonding social capital, indicating that relocatees either regained both place dependence and bonding social capital in their new homes and communities, or they lost and did not regain both, depending on whether their new home and community met their emotional and functional needs sufficiently. For residents who remained in place, higher levels of place dependence were associated with losses in bonding social capital, reflecting the potential consequences of living in postdisaster limbo. Implications for future buyout research, policy, and practice are discussed.

Household hurricane evacuation during a dual-threat event: Hurricane Laura and COVID-19.

This study explores household-level evacuation decision-making in response to Hurricane Laura, in a context where hurricane risk reduction measures contradicted COVID-19 risk reduction measures. Data were collected using a mail-based survey approach from households along the coast of Texas and Louisiana to explore drivers of and barriers to evacuation, including COVID-19 measures such as negative affect, risk perceptions, protective actions, and exposure. Testing for direct and indirect effects among the drivers of and barriers to evacuation, we find that many of our COVID-19 measures did not have a direct effect on evacuation but did have indirect effects through other factors. We also found evidence of both direct and indirect relationships with regards to more conventional drivers of evacuation found in the literature. We close with a discussion of the limitations and implications of this study.

Post-disaster place attachment: A qualitative study of place attachment in the wake of the 2013 Moore tornado.

Place attachment is the social, emotional, and functional bond people experience with a specific geographic area. The formation of this bond is based on several different characteristics of the place, such as property values, local relationships, and employment opportunities as well as the internal attributes of a person, such as age, gender, and income. While gaining an understanding of place attachment through these characteristics and attributes is indispensable to our understanding of disaster recovery, few studies have explored this relationship using qualitative methods. Here, the authors address two main questions: how does place attachment vary among different groups of individuals, and what factors contribute to place attachment in a disaster context? This study included a survey of 772 citizens of Moore, Oklahoma, who lived in the path of the May 20, 2013, tornado and decided to rebuild in situ after disaster. The authors explored place attachment using open-response questions probing residents' perceptions of their place of living. The authors found 18 common codes within their descriptions, in which community (social network), infrastructure, and commercial were the three most commonly cited parameters. Also, comparisons of participants' groups such as age and income showed that distinguishable parameters have formed post-disaster place attachment within different groups of participants.