Environmental Studies and Forestry

Lifestyle pattern analysis unveils recovery trajectories of communities impacted by disasters

N. Coleman, C. Liu, et al.

This research conducted by Natalie Coleman, Chenyue Liu, Yiqing Zhao, and Ali Mostafavi reveals how Hurricane Harvey affected lifestyle patterns and recovery trajectories in Harris County, Texas. Discover unique insights on the spatial reach of flood impacts and varied recovery durations among similar lifestyle groups, despite minimal flooding in certain areas. Explore the pressing need to quantify recovery in disaster scenarios.

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Playback language: English

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Abstract

This study uses anonymized and aggregated location intelligence data to characterize lifestyle patterns and recovery trajectories after Hurricane Harvey in Harris County, Texas. Unsupervised machine learning and ANOVA testing identified four distinct lifestyle patterns and four recovery trajectories (immediate, short, moderate, and extreme durations). Findings reveal multiple recovery durations within each lifestyle cluster, highlighting differential recovery rates among similar lifestyles and demographic groups. The impact of flooding extended beyond flooded regions, with 59% of CBGs experiencing extreme recovery durations despite minimal direct flooding. The study emphasizes the importance of quantifying lifestyle recovery as a critical milestone in disaster recovery and the spatial reach of flood impacts on population lifestyles.

Publisher

Humanities and Social Sciences Communications

Published On

Nov 10, 2023

Authors

Natalie Coleman, Chenyue Liu, Yiqing Zhao, Ali Mostafavi

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