Division of Landscape Architecture, College of Architecture, University of Oklahoma, Norman, OK 73019, USA.
Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A&M University, College Station, TX 77843, USA.
Int J Environ Res Public Health. 2022 Jan 24;19(3):1287. doi: 10.3390/ijerph19031287.
It is well known that extremely hot weather causes heat-related health issues. Health problems, especially in urban areas, are becoming increasingly important due to urban heat island effect. Understanding the impact of neighborhood characteristics is important for research into the relationship between thermal environment and human health. The objectives of this study were to explore the urban landscape and sociodemographic characteristics affecting heat-related health and identify spatial inequalities for vulnerable groups. A total of 27,807 heat-related EMS incidents were used at the census block group level (N = 285). We used land cover database and Landsat satellite images for urban landscape variables and used 2019 U.S. Census data for sociodemographic variables. Negative binomial regression was used to identify the neighborhood variables associated with the heat-related EMS incidents in each block group. Heat-related health has been alleviated in block groups with high green areas. However, the negative effects of thermal environments on human health were higher in areas with a high percentage of impervious surface, over 65 years, non-white people, no high school diploma, or unemployment. The results indicate that heat-related health problems can be addressed through prevention strategies for block group variables. Local intervention efforts to solve health issues should be targeted at more vulnerable areas and groups.
众所周知,极端炎热的天气会导致与热有关的健康问题。由于城市热岛效应,健康问题,尤其是在城市地区,变得越来越重要。了解邻里特征的影响对于研究热环境与人类健康之间的关系很重要。本研究的目的是探讨影响与热有关的健康的城市景观和社会人口学特征,并确定弱势群体的空间不平等。在人口普查街区组层面共使用了 27807 起与热有关的紧急医疗服务事件(N=285)。我们使用土地覆盖数据库和 Landsat 卫星图像获取城市景观变量,并使用 2019 年美国人口普查数据获取社会人口学变量。使用负二项回归来确定每个街区组中与与热有关的紧急医疗服务事件相关的邻里变量。在高绿地面积的街区组中,与热有关的健康状况已经得到缓解。然而,在高不透水面比例、65 岁以上、非白种人、没有高中文凭或失业的地区,热环境对人类健康的负面影响更高。结果表明,可以通过针对街区组变量的预防策略来解决与热有关的健康问题。解决健康问题的地方干预措施应该针对更脆弱的地区和群体。