Trends in socioeconomic disparities in urban heat exposure and adaptation options in mid-sized U.S. cities

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Shijuan Chen, Simon Bruhn, Karen C. Seto
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引用次数: 0

Abstract

There is ample evidence that environmental justice communities experience high levels of extreme heat. However, it is unknown how disparities in urban heat exposure and adaptation options change over time. This study investigates socioeconomic disparities over time in urban heat exposure and adaptation options in eight mid-sized Northeastern cities. We ask: How were socioeconomic factors associated with heat exposure and adaptation options over time? We analyzed disparities at the census block group level and census block level, respectively. At the census block group level, we ran spatial regression models between socioeconomic variables, including race, income, gender, and age, and heat exposure and adaptation variables, including land surface temperature, normalized different vegetation index (NDVI), tree cover, and air conditioning ownership rate. We found that: Low median household income is always associated with high LST and low NDVI from 1990 to 2020; Low percentages of females are always associated with high LST and low NDVI from 1990 to 2020. High percentages of POC are associated with high LST in 2010 and 2020, but not in 1990 and 2000; Low median household income and low percentages of elderly are associated with lower tree covers; High percentages of POC, low percentages of elderly, and low median household income are associated with lower AC rates. In analysis at the census block level by city, we found that disparities in urban heat exposure between predominantly POC and predominantly white communities increased in most cities during 1990–2020. Predominantly POC communities consistently have lower vegetation cover over time in most cities. Disparities in vegetation cover per unit area increased in most cities, whereas disparities in vegetation cover per capita decreased in most cities. Our findings of the trends in disparities in heat exposure and adaptation are useful for forecasting disparities in the future. These findings also suggest that interventions should prioritize cities with increasing disparities in heat exposure and adaptation.

美国中等城市城市热暴露的社会经济差异趋势及适应方案
有大量证据表明,环境正义社区经历了高水平的极端高温。然而,人们还不知道城市高温暴露和适应选择方面的差异是如何随着时间的推移而变化的。本研究调查了东北部 8 个中等城市在城市高温暴露和适应选择方面随时间变化的社会经济差异。我们的问题是:随着时间的推移,社会经济因素与高温暴露和适应选择之间有何关联?我们分别从普查区组和普查街区两个层面对差异进行了分析。在普查街区组层面,我们运行了社会经济变量(包括种族、收入、性别和年龄)与热暴露和适应变量(包括地表温度、归一化差异植被指数(NDVI)、树木覆盖率和空调拥有率)之间的空间回归模型。我们发现从 1990 年到 2020 年,家庭收入中位数越低,地表温度越高,植被指数越低;从 1990 年到 2020 年,女性比例越低,地表温度越高,植被指数越低。在 2010 年和 2020 年,高百分比的 POC 与高 LST 相关,但在 1990 年和 2000 年则不然;低家庭收入中位数和低百分比的老年人与较低的树木覆盖率相关;高百分比的 POC、低百分比的老年人和低家庭收入中位数与较低的 AC 率相关。在按城市进行的人口普查区块分析中,我们发现在 1990-2020 年期间,大多数城市中主要为太平洋裔和其他族裔社区与主要为白人社区之间的城市热暴露差距都有所扩大。在大多数城市,随着时间的推移,以太平洋岛屿族裔为主的社区植被覆盖率一直较低。在大多数城市中,单位面积植被覆盖率的差异有所扩大,而在大多数城市中,人均植被覆盖率的差异有所缩小。我们对热暴露和热适应差异趋势的研究结果有助于预测未来的差异。这些研究结果还表明,干预措施应优先考虑受热和适应热量差异越来越大的城市。
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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