ArticleScientific reports2024
Understanding of income and race disparities in hurricane evacuation is contingent upon study case and design.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Influence of Emergency Situations on Maternal and Infant Nutrition: Evidence and Policy Implications from Hurricane John in Guerrero, Mexico.International journal of environmental research and public health · 2025Article
- Human mobility under disasters: a systematic review and framework for equitable and resilient mobility governance.npj natural hazards · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
As hurricanes become more frequent and destructive, understanding evacuation decision-making is crucial to refining disaster response strategies. Several studies have explored how socioeconomic characteristics such as income and race impact evacuation behavior. Most of these studies focus on a single hurricane event with the geographic extent limited to one or two states, each using a distinct study design, making them difficult to compare. This raises the question of whether findings from isolated cases can be generalized across different hurricane scenarios and geographical settings under a similar study design and consistent parameter definitions. To address this gap, in this study, we conduct a comparative analysis to understand income and racial disparity across multiple hurricane events. The results indicate that, even with a consistent study design, disparities in evacuation among different socioeconomic groups vary on a case-by-case basis. Furthermore, we show that the study design significantly impacts the observed trends within a single case. This highlights the importance of avoiding generalized conclusions based on limited case studies. It further emphasizes how flawed study designs may fail to capture the complexities of real-world behaviors, thereby leading to suboptimal or ineffective policy recommendations or designs.
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