Program in Epidemiology, University of Delaware, Newark, DE, USA.
Department of Geography, Texas A&M University, College Station, TX, USA.
Risk Anal. 2020 May;40(5):1079-1091. doi: 10.1111/risa.13448. Epub 2020 Jan 23.
Evacuation is frequently used by emergency managers and other officials as part of an overall approach to reducing the morbidity and mortality associated with hurricane landfall. In this study, the evacuation shelter capacity of the Houston-Galveston Metropolitan Statistical Area (MSA) was spatially assessed and shelter deficits in the region were estimated. These data provide essential information needed to eliminate shelter deficits and ensure a successful evacuation from a future storm. Spatial statistical methods-Global Moran's I, Anselin Local Moran's I (Local Indicators of Spatial Association [LISA]), and Hot Spot Analysis (Getis-Ord Gi*) were used to assess for regional spatial autocorrelation and clustering of evacuation shelters in the Houston-Galveston MSA. Shelter deficits were estimated in four ways-the aggregate deficit for the Houston-Galveston MSA, by evacuation Zip-Zone, by county, and by distance or radii of evacuation Zip-Zone. Evacuation shelters were disproportionately distributed in the region, with lower capacity shelters clustered closer to evacuation Zip-Zones (50 miles from the Coastal Zip-Zone), and higher capacity shelters clustered farther away from the zones (120 miles from the Coastal Zip-Zone). The aggregate shelter deficit for the Houston-Galveston MSA was 353,713 persons. To reduce morbidity and mortality associated with future hurricanes in the Houston-Galveston MSA, authorities should consider the development and implementation of policies that would improve the evacuation shelter capacity of the region. Eliminating shelter deficits, which has been done successfully in the state of Florida, is an essential element of protecting the public from hurricane impacts.
疏散经常被应急管理人员和其他官员用作减少与飓风登陆相关发病率和死亡率的整体方法的一部分。在这项研究中,休斯顿-加尔维斯顿都会统计区 (MSA) 的疏散避难所容量进行了空间评估,并估计了该地区的避难所不足。这些数据提供了消除避难所不足并确保未来风暴成功疏散所需的重要信息。空间统计方法——全局 Moran's I、Anselin 局部 Moran's I(空间关联的局部指标 [LISA])和热点分析 (Getis-Ord Gi*) 用于评估休斯顿-加尔维斯顿 MSA 中疏散避难所的区域空间自相关和聚类。避难所不足通过四种方式估计——休斯顿-加尔维斯顿 MSA 的总不足、疏散邮政编码区、县和疏散邮政编码区的距离或半径。避难所的分布不成比例,容量较低的避难所更集中在疏散邮政编码区(距沿海邮政编码区 50 英里)附近,容量较高的避难所则更远离这些区域(距沿海邮政编码区 120 英里)。休斯顿-加尔维斯顿 MSA 的总避难所不足为 353,713 人。为了降低休斯顿-加尔维斯顿 MSA 未来飓风相关的发病率和死亡率,当局应考虑制定和实施政策,以提高该地区的疏散避难所容量。消除避难所不足是保护公众免受飓风影响的重要因素,佛罗里达州已经成功地做到了这一点。