Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&M University, 199 Spence St., College Station, TX, 77843, USA.
Department of Computer Science and Engineering, Texas A&M University, 435 Nagle St., College Station, TX, 77843, USA.
Sci Rep. 2022 Sep 26;12(1):15987. doi: 10.1038/s41598-022-20384-4.
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.
(1)明确在灾害期间和之后的短期恢复过程中,撤离返回和家庭回迁稳定是两个关键的里程碑;(2)了解不同亚人群在这些关键恢复里程碑上的持续时间方面的差异。本研究利用隐私保护的精细分辨率基于位置的数据,考察了 2017 年哈维飓风背景下德克萨斯州哈里斯县的撤离和搬离率。对于这两个关键的恢复里程碑中的每一个,结果都揭示了具有短时间和长时间返回持续时间的区域,并能够评估撤离返回和家庭回迁稳定性模式的差异。事实上,受灾地区关键恢复里程碑指标的持续时间较短并不一定是积极的迹象。较短的撤离返回可能是由于撤离障碍造成的,而低收入居民的家庭搬回率较低与居住在出租房屋有关。此外,所有亚人群组的撤离返回和家庭回迁稳定性都表现出倾斜和非均匀的恢复模式。所有的返回模式都显示出两阶段的返回进度模式。研究结果可以为灾害管理人员和公职人员提供信息,以便以更积极主动、数据驱动和公平的方式进行恢复监测和资源分配。