首页> 外文会议>Annual conference of the International Society of Exposure Science >EMPLOYING HEAT VULNERABILITY MAPPING TO INFORM WEATHERIZATION PROGRAMS IN 3 US CITIES
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EMPLOYING HEAT VULNERABILITY MAPPING TO INFORM WEATHERIZATION PROGRAMS IN 3 US CITIES

机译:运用热脆弱性制图为美国3个城市的风化程序提供信息

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Background Vulnerability mapping is a popular tool for investigating spatial relationships among community characteristics. Temperature exposure risks are unequally distributed, disproportionately burdening the elderly, minority and poor residents. As cities aim to reduce the burden of temperature-related morbidity and mortality, weatherization programs are poised as an option for implementing protective measures. Aims We expanded upon a methodology for heat vulnerability mapping (Reid, 2009) using fine-scale environmental, socio-economic, demographic, health and housing data. Methods Principal component analysis was conducted using 1 m resolution land cover classifications, ZIP code-level cardiovascular and respiratory disease prevalence, and census block group demographics that may contribute to vulnerability in three US cities: Detroit Michigan, Cleveland Ohio, and Washington D.C. Vulnerability scores were calculated and mapped for each city. Block groups comprising the 10% most vulnerable for each city are selected and presented to include parcel-specific housing characteristics. Results Factor scores include elderly/isolation, socio-economic/demographic vulnerability, and non-vegetated areas. 2010 census block groups (n=881) for Detroit were assigned heat vulnerability index values (6-17) and mapped with corresponding housing data. The most vulnerable areas of the city are located along the urban core where elderly populations are highest. Age and condition of housing stock are overlaid to elucidate areas of the city where housing characteristics may contribute to additional vulnerability to temperature. Results for Cleveland and Washington DC are mapped and presented. Conclusions Vulnerability mapping incorporating fine-scale data provides neighborhood-specific analyses for use in targeted decision-making for climate adaptation programs. Inclusion of housing stock data informs weatherization programs that target vulnerable groups. This research begins to address potential co-benefits of weatherization efforts as it relates to heat vulnerability.
机译:背景漏洞映射是调查社区特征之间的空间关系的流行工具。暴露于温度的风险分布不均,给老年人,少数民族和贫困居民造成了不成比例的负担。由于城市旨在减轻与温度有关的发病率和死亡率的负担,因此将气候化计划定为实施保护措施的一种选择。目的我们扩展了使用精细规模的环境,社会经济,人口,健康和住房数据进行热脆弱性绘图的方法(Reid,2009年)。方法使用1 m分辨率土地覆盖分类,邮政编码级别的心血管疾病和呼吸道疾病患病率以及人口普查分组人口统计数据进行主成分分析,这可能会导致美国三个城市的脆弱性:底特律密歇根州,俄亥俄州克利夫兰市和华盛顿特区漏洞评分计算并绘制每个城市的地图。选择并展示了每个城市中最易受伤害的10%的街区组,其中包括特定于包裹的住房特征。结果因子得分包括老年人/隔离度,社会经济/人口脆弱性和非植被区域。底特律的2010年人口普查区域组(n = 881)被分配了热脆弱性指数值(6-17),并与相应的住房数据进行了映射。城市最脆弱的地区位于老年人口最高的城市核心区。覆盖了房屋的年龄和状况,以阐明城市中的房屋特征可能导致温度进一步脆弱的区域。绘制并显示了克利夫兰和华盛顿特区的结果。结论结论结合了小规模数据的脆弱性图提供了针对特定邻域的分析,可用于气候适应计划的目标决策。纳入住房存量数据有助于针对弱势群体的气候化计划。这项研究开始解决与热脆弱性有关的气候变化工作的潜在共同利益。

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