Spatial Analysis of Unmet Disaster Needs for Housing and Food: A Case Study of Floods in Texas, U.S

Jee Young Lee, T. Tai, S. Bame
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Abstract

Disasters create obstacles to meeting basic needs in communities. Although studies have addressed developing better means of assessing flood risk and vulnerability, limited research has considered matching people's unmet needs to access available resources and services over time across locations during flood-related disasters. This study identifies specific types and frequencies of two basic disaster-related unmet needs—housing and food—and spatially analyzes these by location to determine vulnerable communities during Texas’ spring 2015 floods. The Texas 2-1-1 Network provided a database of disaster-related callers’ locations and needs recorded statewide per day, May–June 2015. Disaster-related unmet needs (N = 4,880) for housing (24%) and food (8%) were analyzed by location to determine vulnerable communities during these record-breaking floods throughout Texas. Mapping of unmet need volume per county differed from hotspot locations adjusted by population size to control for urban bias. Volume of housing and food unmet needs were higher in flooded metropolitan counties of east- and central-Texas. After adjusting for population size, Houston remained a hotspot for housing and food unmet needs but many rural counties were shown to be highly vulnerable as well. The spatial analysis helps to target resource allocations to disaster-affected communities more equitably and effectively based on the type of unmet needs and location of access barriers in real-time during disasters. This enables a greater understanding of variations in allocating resources to enhance the resiliency of vulnerable populations.
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未满足灾害住房和粮食需求的空间分析——以美国德克萨斯州洪水为例
灾害对满足社区的基本需求造成障碍。虽然有研究致力于开发更好的评估洪水风险和脆弱性的手段,但有限的研究考虑了在与洪水有关的灾害期间,在不同地点匹配人们未满足的获取现有资源和服务的需求。本研究确定了两种与灾害相关的基本未满足需求——住房和食物——的具体类型和频率,并按地点对这些需求进行空间分析,以确定德克萨斯州2015年春季洪水期间的脆弱社区。德克萨斯州2-1-1网络提供了一个数据库,记录了2015年5月至6月期间全州范围内与灾害相关的呼叫者的位置和需求。灾害相关的未满足需求(N = 4880)对住房(24%)和食品(8%)进行了分析,以确定在整个德克萨斯州创纪录的洪水期间的脆弱社区。每个县未满足需求量的地图不同于热点地区,根据人口规模调整以控制城市偏差。在德克萨斯东部和中部被洪水淹没的大都市县,住房和食品需求未得到满足的比例更高。在调整了人口规模后,休斯顿仍然是住房和食品需求未得到满足的热点地区,但许多农村县也显示出高度脆弱。空间分析有助于根据灾害期间未满足需求的类型和获取障碍的实时位置,更公平和有效地将资源分配给受灾社区。这使我们能够更好地了解资源分配的变化,以增强弱势群体的复原力。
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