Civil, Environmental, and Sustainable Engineering, Arizona State University, Tempe, AZ, USA.
School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA; Global Institute of Sustainability, Arizona State University, Tempe, AZ, USA.
Health Place. 2018 Nov;54:1-10. doi: 10.1016/j.healthplace.2018.08.014. Epub 2018 Sep 7.
Environmental heat is a growing public health concern in cities. Urbanization and global climate change threaten to exacerbate heat as an already significant environmental cause of human morbidity and mortality. Despite increasing risk, very little is known regarding determinants of outdoor urban heat exposure. To provide additional evidence for building community and national-scale resilience to extreme heat, we assess how US outdoor urban heat exposure varies by city, demography, and activity. We estimate outdoor urban heat exposure by pairing individual-level data from the American Time Use Survey (2004-2015) with corresponding meteorological data for 50 of the largest metropolitan statistical areas in the US. We also assess the intersection of activity intensity and heat exposure by pairing metabolic intensities with individual-level time-use data. We model an empirical relationship between demographic indicators and daily heat exposure with controls for spatiotemporal factors. We find higher outdoor heat exposure among the elderly and low-income individuals, and lower outdoor heat exposure in females, young adults, and those identifying as Black race. Traveling, lawn and garden care, and recreation are the most common outdoor activities to contribute to heat exposure. We also find individuals in cities with the most extreme temperatures do not necessarily have the highest outdoor heat exposure. The findings reveal large contrasts in outdoor heat exposure between different cities, demographic groups, and activities. Resolving the interplay between exposure, sensitivity, adaptive capacity, and behavior as determinants of heat-health risk will require advances in observational and modeling tools, especially at the individual scale.
环境热是城市日益严重的公共卫生问题。城市化和全球气候变化威胁加剧热作为人类发病率和死亡率的一个已经非常重要的环境原因。尽管风险不断增加,但对于户外城市热暴露的决定因素知之甚少。为了为建立社区和国家应对极端高温的能力提供更多证据,我们评估了美国户外城市热暴露如何因城市、人口统计学和活动而异。我们通过将美国最大的 50 个大都市区的个人层面数据与相应的气象数据进行配对来估计户外城市热暴露。我们还通过将代谢强度与个人层面的时间使用数据进行配对来评估活动强度和热暴露的交集。我们通过控制时空因素,对人口统计学指标与每日热暴露之间的经验关系进行建模。我们发现,老年人和低收入人群的户外热暴露较高,而女性、年轻成年人和黑人种族的户外热暴露较低。旅行、草坪和花园护理以及娱乐是导致热暴露的最常见户外活动。我们还发现,温度最极端的城市的居民并不一定有最高的户外热暴露。这些发现揭示了不同城市、人口统计学群体和活动之间户外热暴露的巨大差异。解决暴露、敏感性、适应能力和行为作为热健康风险决定因素之间的相互作用,需要在观察和建模工具方面取得进展,尤其是在个体层面。