Geographic Variation in Household Disaster Preparedness in the United States

Dados Bibliográficos

ID7634930
AutoresForest Cook (Utah State University, autor correspondente), P David Howe (0000-0002-1555-3746, Utah State University), Peter Howe
Ano2024
Volume114
Fascículo2
Páginas314-333
Data de publicação2024-02-07
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoAnnals of the American Association of Geographers (JOURNAL)
Identificadores do periódicoISSN: 2469-4452 • E-ISSN: 2469-4460
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/24694452.2023.2271560
OpenAlexW4389221470
IdiomaEN
Citações recebidas4
Referências citadas70

Disaster events, such as floods, wildfires, and earthquakes, increasingly cause damage to livelihoods, the economy, and the environment. Preparing for disasters is noted as one of the most effective ways to adapt and increase resilience to these events, but research has shown that many people in the United States have not adopted recommended household preparedness actions. Moreso, there is currently no geospatial data set or tool for mapping geographic variation in disaster preparedness behavior, despite the availability of appropriate survey data. Using the Federal Emergency Management Agency National Household Survey from 2017 to 2020, we develop a multilevel regression and poststratification model that provides estimates at the state, county, and zip-code tabulation area scales of several preparedness actions and a general disaster preparedness index. Results show regional and state-level variation among preparedness levels, with the Southeast and Utah being generally more prepared than other regions of the United States. Additionally, we introduce an online interactive mapping tool for these results that practitioners, academics, and the public can use to identify preparedness levels in their area of interest. The outcomes of this study can be used to inform future work in hazard risk assessment and to further develop comparisons between risk perceptions and hazard preparedness. Finally, findings from this study contribute to the suite of geospatial models and methods used to assess the human dimensions of hazard risk and resilience

Cartography · Emergency management · Environmental health · Environmental planning · Environmental resource management · Geography · Geospatial analysis · Hazard · Poisson regression · Political science · Population · Preparedness · Sociology · Disaster Management and Resilience · Environmental Science · Flood Risk Assessment and Management · Medicine · Tropical and Extratropical Cyclones Research