School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona 85284-2402, USA.
Environ Health Perspect. 2013 Feb;121(2):197-204. doi: 10.1289/ehp.1104625. Epub 2012 Nov 16.
Most heat-related deaths occur in cities, and future trends in global climate change and urbanization may amplify this trend. Understanding how neighborhoods affect heat mortality fills an important gap between studies of individual susceptibility to heat and broadly comparative studies of temperature-mortality relationships in cities.
We estimated neighborhood effects of population characteristics and built and natural environments on deaths due to heat exposure in Maricopa County, Arizona (2000-2008).
We used 2000 U.S. Census data and remotely sensed vegetation and land surface temperature to construct indicators of neighborhood vulnerability and a geographic information system to map vulnerability and residential addresses of persons who died from heat exposure in 2,081 census block groups. Binary logistic regression and spatial analysis were used to associate deaths with neighborhoods.
Neighborhood scores on three factors-socioeconomic vulnerability, elderly/isolation, and unvegetated area-varied widely throughout the study area. The preferred model (based on fit and parsimony) for predicting the odds of one or more deaths from heat exposure within a census block group included the first two factors and surface temperature in residential neighborhoods, holding population size constant. Spatial analysis identified clusters of neighborhoods with the highest heat vulnerability scores. A large proportion of deaths occurred among people, including homeless persons, who lived in the inner cores of the largest cities and along an industrial corridor.
Place-based indicators of vulnerability complement analyses of person-level heat risk factors. Surface temperature might be used in Maricopa County to identify the most heat-vulnerable neighborhoods, but more attention to the socioecological complexities of climate adaptation is needed.
大多数与热相关的死亡事件发生在城市,而未来全球气候变化和城市化的趋势可能会加剧这一趋势。了解邻里环境如何影响热致死亡率,填补了个体对热的易感性研究与城市温度死亡率关系的广泛比较研究之间的重要空白。
我们估计了亚利桑那州马里科帕县(2000-2008 年)人口特征、建筑和自然环境对因热暴露导致的死亡的邻里效应。
我们使用 2000 年美国人口普查数据和遥感植被及地表温度,构建邻里脆弱性指标,并利用地理信息系统绘制因热暴露而死亡的人员的脆弱性和居住地址在 2081 个人口普查块组中的分布。二元逻辑回归和空间分析用于将死亡与邻里联系起来。
研究区域内,三个因素(社会经济脆弱性、老年/隔离和无植被区域)的邻里分数差异很大。基于拟合度和简约性的最佳模型(用于预测在一个人口普查块组内发生一次或多次因热暴露导致的死亡的几率),包括前两个因素以及居住邻里的地表温度,人口规模保持不变。空间分析确定了具有最高热脆弱性评分的邻里集群。很大一部分死亡发生在包括无家可归者在内的人群中,他们居住在最大城市的中心地带和一条工业走廊沿线。
基于地点的脆弱性指标补充了个体层面的热风险因素分析。在马里科帕县,地表温度可用于识别最易受热影响的邻里,但需要更加关注气候适应的社会生态复杂性。