环境正义:费城热脆弱社区的案例研究

In Commons Pub Date : 1900-01-01 DOI:10.35483/acsa.am.111.53
E. May, P. Du, Victoria Martine
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摘要

研究表明,低收入社区和有色人种社区更有可能生活在经历多重环境负担的社区,更容易受到美国城市气候变化的影响。在宾夕法尼亚州费城划定红线的做法造成了环境的不公正,在当时可能并不明显,但仍有一些社区受到这种做法的影响。与城市其他地区相比,这些地区的家庭收入中位数最低,预期寿命最低,非裔美国人人口最多。本研究的主要目的是绘制费城热脆弱社区的地图,并提出缓解城市热岛的方法。热脆弱性地图显示了更容易受到热恶化影响的地区。这项研究从绘制决定脆弱性的因素开始,如热暴露、获得绿地/树木覆盖、家庭收入中位数、预期寿命和种族。绘制这些指标可以精确定位脆弱的社区。最脆弱的社区是泰奥加和卡罗尔公园。为了进行更好的分析,研究人员选择了最不脆弱的栗山社区作为比较对象。此外,将房主贷款公司的红线地图叠加,发现“危险”社区与最脆弱的社区重叠。为了继续进行模拟分析,使用Rhino和Grasshopper(瓢虫工具)来量化城市热岛指标,如公共空间和街道的直射太阳时数、通用热气候指数(UTCI)和热应力时数。总之,本研究提出了设计干预措施,包括增加绿化的策略,以减轻城市热岛效应。模拟表明,最易受热影响的社区将不得不彻底改变其环境,以减轻城市热岛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Environmental Justice: A Case Study into the Heat Vulnerable Neighborhoods of Philadelphia
Studies have shown that low-income communities and communities of color are more likely to live in neighborhoods experiencing multiple environmental burdens and disproportionate vulnerability to the impacts of climate change in American cities. The practice of redlining in Philadelphia, Pennsylvania has caused environmental injustice in ways that might not have been obvious at that time however there are neighborhoods that are still affected by this practice. These areas have the lowest median household incomes, lowest life expectancies, and highest population of African American people compared to the rest of the city. The main objective of this research is to map the heat vulnerable neighborhoods in Philadelphia and suggest ways to mitigate urban heat island. Mapping heat vulnerability shows the areas that are more susceptible to the exacerbating effects of heat. The research began with mapping factors that determine vulnerability, such as heat exposure, access to green space/tree coverage, median household income, life expectancy, and race. Mapping these indicators allowed the vulnerable neighborhoods to be pinpointed. The most vulnerable neighborhoods chosen were Tioga and Carroll Park. To conduct a better analysis the least vulnerable neighborhood, Chestnut Hill, was chosen to compare to. Further, overlaying the Homeowners Loan Corporation redlining map to find out that the “hazardous” neighborhoods overlap with the most vulnerable neighborhoods. To continue the analysis with simulations, Rhino and Grasshopper (Ladybug Tools) were used to quantify the urban heat island indicators such as Direct Sun Hours, Universal Thermal Climate Index (UTCI) and Heat Stress Hours in both public spaces and streets. In summary, this research proposes design interventions, including strategies of adding greenery, to mitigate the urban heat island effect. The simulations showed that the neighborhoods that are the most heat vulnerable would have to drastically change their environment to mitigate the urban heat island.
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