Location Intelligence Reveals the Extent, Timing, and Spatial Variation of Hurricane Preparedness

• URL: http://arxiv.org/abs/2203.06567v2
• Date: Sat, 19 Mar 2022 03:59:43 GMT
• Title: Location Intelligence Reveals the Extent, Timing, and Spatial Variation of Hurricane Preparedness
• Authors: Bo Li and Ali Mostafavi
• Abstract summary: Peak visits to pharmacies often occurred in the early stage, whereas the peak of visits to gas stations happened closer to landfall. The study advances data-driven understanding of human protective actions and provides emergency response managers with novel insights to proactively monitor disaster preparedness.
• Score: 8.460587574173035
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Improving hurricane preparedness is essential to reduce hurricane impacts. Inherent in traditional methods for quantifying and monitoring hurricane preparedness are significant lags. This study establishes a methodological framework to quantify the extent, timing, and spatial variation of hurricane preparedness at the CBG level using high-resolution location intelligence data. Anonymized cell phone data on visits to POIs for each CBG before 2017 Hurricane Harvey were used to examine hurricane preparedness. Four categories of POI, grocery stores, gas stations, pharmacies and home improvement stores, were identified as having close relationship with hurricane preparedness, and the daily number of visits from each CBG to these four categories of POIs were calculated during preparation period. Two metrics, extent of preparedness and proactivity, were calculated based on the daily visit percentage change compared to the baseline period. The results show that peak visits to pharmacies often occurred in the early stage, whereas the peak of visits to gas stations happened closer to landfall. The spatial and temporal patterns of visits to grocery stores and home improvement stores were quite similar. However, correlation analysis demonstrates that extent of preparedness and proactivity are independent of each other. Combined with synchronous evacuation data, CBGs were divided into four clusters in terms of extent of preparedness and evacuation rate. The clusters with low preparedness and low evacuation rate were identified as hotspots of vulnerability for shelter-in-place households that would need urgent attention during response. The study advances data-driven understanding of human protective actions and provide emergency response managers with novel insights to proactively monitor disaster preparedness, facilitating identifying under-prepared areas and better allocating resources timely.

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