Where people go between evacuation and recovery remains an understudied aspect of disaster research. Whether experiencing multiple displacements, permanent displacement, or undergoing recovery in a damaged dwelling, the spatial and temporal dimensions of disaster displacement can have direct impacts on the recovery experiences of survivors. Pulling from focus group data gathered in 2017 from Hurricane Sandy survivors in New Jersey, this qualitative research focuses on the experiences of those who recovered in-situ, or within their damaged dwelling following the storm, and the various ways this non-displacement impacted their recovery. A content analysis following a grounded theory approach produced the emergent themes of the in-situ experience, including: a lack of suitable shelter, an exposure to secondary hazards, and an inability to achieve satisfactory emotional recovery. This study contributes to the growing body of literature surrounding recovery experiences, and it introduces valuable insights into the challenges that survivors face while recovering in-situ.

This research expands the theoretical concept of human adjustment to floods established by Gilbert F. White and incorporates his adjustment concept to examine the range of adjustments in business operations adopted by Texas' natural and/or cultural resources sites during the first year of the COVID-19 pandemic. This mixed-methods study consisted of an online survey with a follow-up semi-structured phone interview. The survey data was analyzed using descriptive statistics and the interview data was inductively coded for thematic analysis as well as quantitative and qualitative content analyses. Specifically, this study identifies the adjustment measures undertaken by these entities to maintain business operations while reducing the virus spread; analyses the direct and indirect factors influencing adjustment measures; examines new business opportunities that emerged from these adjustments; and evaluates whether the impact of COVID-19 on these entities varied in terms of entity characteristics. Findings indicate that cultural and/or natural resource sites implemented adjustments to maintain their fiscal stability and/or to protect human health; these serve as direct underlying motivating factors for these entities. To support these direct measures, indirect factors influenced the operations thus required adjustments such as staffing, volunteers, technology, funding, and donations. Additionally, new opportunities in business practices emerged while implementing …

The 2019 Dallas Tornado struck a densely populated area, was the costliest tornado in Texas history, and had minimal warning lead time, yet there were no serious injuries or fatalities. To understand why, this study examines individuals' decision-making processes during this tornado using the protective action decision model (PADM). Specifically, it investigates the factors affecting threat belief and evaluation, the facilitators and impediments to protective action, and the effects on future risk perception and hazard adjustment measures. Semi-structured telephone interviews were conducted with 23 survivors to explore their experiences and decision-making processes during this tornado. Interviews were analyzed through inductive coding and a constant comparative approach. Key findings of this study suggest that clear and direct warning messages, coupled with rapid, heuristic-driven reactions, can overcome the impediment of a short-fuse warning time and motivate those at risk to take protective action. Additionally, this study identifies condominium owners as a housing population with unique needs and impediments in the tornado recovery process. Furthermore, results illustrate how the hazard scenario and contemporary technological culture nuance protective action decision-making and future hazard adjustment measures.

Utilizing survey data gathered from local local level floodplain administrators (FPAs) operating within Federal Emergency Management Agency Region 6, this study provides a more nuanced understanding of perceived competency among FPAs across key floodplain management topics through the use of a principal component analysis (PCA). PCA identified six distinct components related to perceived competency among FPAs including; Modification and Update Process, General Knowledge, Grants and Programs, Analysis, Development and Real Estate, and Administration and Outreach. The study then employed regression analyses to identify organizational and individual level characteristics that predict perceived competency. Data analyses identified several organizational variables as significant positive predictors of perceived competency including working within an urban community, full-time job status and overall workload percentage dedicated to floodplain management. Additionally, several individual characteristics such as educational attainment, professional certification, previous disaster experience, and years of experience working as an FPA were also identified as significant positive predictors of perceived competency. Based on these findings the study makes several recommendations about improvements to training and educational materials for practitioners and students.

This study sought to better understand the experiences of individuals with a chronic health condition utilizing telemedicine during the first twelve months of the COVID-19 pandemic. To do this, an online survey was advertised in two private Facebook support groups for individuals with adrenal insufficiency; a chronic health condition that requires frequent communication with healthcare providers. The survey consisted primarily of closed-response questions which examined the demographic data of respondents, their access to healthcare providers, their comfort levels accessing healthcare providers, and the number of times individuals sought healthcare during the first twelve months of the COVID-19 pandemic to try and predict their preference for telemedicine and in-person healthcare visits going forward. Additionally, the survey included open-response questions which allowed for respondents to describe their experience utilizing telemedicine during the first twelve months of the COVID-19 pandemic. Most respondents described their use of telemedicine as being positive but have indicated there are some health circumstances in which telemedicine may not be the best option for them. Additionally, findings indicate that individual's comfort level in visiting their healthcare providers in-person during that first year of the COVID-19 pandemic is a significant predictor of an individual's preference for telehealth. This gives future …

Recent research suggests that race and ethnicity influence post-buyout land management in Harris County, Texas, yet lacked systematic empirical evidence to fully understand the relationship between management and demographics. To address this gap, this study analyzes post-buyout land use management practices and compares them with the socio-economic characteristics of the adjacent neighborhood at the block level in Harris County, Texas, an area with a long buyout history. I first identified post-buyout land use management practices in Harris County through county records and photo documentation of approximately 2000 buyout sites through fieldwork from 2017-2022. Second, using Ode and colleagues' framework for identifying visual characteristics on the landscape, I developed an index and evaluated post-buyout land use management practices for aesthetics, utility, and function. Finally, I spatially analyzed the socio-demographic composition of buyout neighborhoods using U.S. Census American Community Survey 5-year data (2017-2021) and compared it with post-buyout land use management practices in ArcGIS. From this spatial analysis, I identified differences in post-buyout land management that homeownership status, race, and ethnicity affected post-buyout land management. Most buyout properties in Harris County are managed as mowed, vacant lots regardless of socio-demographics; however, litter and debris were more prominent in predominantly Black neighborhoods. Of …