4.7 Article

Specifying evacuation return and home-switch stability during short-term disaster recovery using location-based data

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SCIENTIFIC REPORTS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-022-20384-4

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  1. National Science Foundation [CMMI-1846069]
  2. Texas A M University [699]

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The objectives of this study are to specify two critical milestones of short-term recovery during and after disasters - evacuation return and home-switch stability, and to understand the disparities among subpopulations in the duration of these recovery milestones. The study examines evacuation and home move-out rates in Harris County, Texas during Hurricane Harvey in 2017 using privacy-preserving fine-resolution location-based data. The findings reveal the areas with different durations for the two recovery milestones and disparities in evacuation return and home-switch stability patterns among different subpopulations.
The objectives of this study are: (1) to specify evacuation return and home-switch stability as two critical milestones of short-term recovery during and in the aftermath of disasters; and (2) to understand the disparities among subpopulations in the duration of these critical recovery milestones. Using privacy-preserving fine-resolution location-based data, we examine evacuation and home move-out rates in Harris County, Texas in the context of the 2017 Hurricane Harvey. For each of the two critical recovery milestones, the results reveal the areas with short- and long-return durations and enable evaluating disparities in evacuation return and home-switch stability patterns. In fact, a shorter duration of critical recovery milestone indicators in flooded areas is not necessarily a positive indication. Shorter evacuation return could be due to barriers to evacuation and shorter home move-out rate return for lower-income residents is associated with living in rental homes. In addition, skewed and non-uniform recovery patterns for both the evacuation return and home-switch stability were observed in all subpopulation groups. All return patterns show a two-phase return progress pattern. The findings could inform disaster managers and public officials to perform recovery monitoring and resource allocation in a more proactive, data-driven, and equitable manner.

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