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Air Pollution and Urban Form: Evidence from Satellite Data

机译:空气污染和城市形式:来自卫星数据的证据

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We consider here the extent to which urban form (the physical layout of a city, e.g., sprawl versus density) can impact urban air pollution. Using available satellite-based measurements for 89 urban areas throughout the globe, we compare air pollution (nitrogen dioxide) and spatial patterns of built-up areas (urban contiguity and compactness). Linear regression modeling reveals that, as expected, air pollution is proportional to city size (urban population and land area), with larger cities having worse pollution. Consistent with Environmental Kuznets Curve (EKC) theory, the relationship between air pollution and per capita GDP is an inverse "U" shape. Rising income increases pollution levels for per capita GDP less than US$ 23,000 but decreases pollution for per capita GDP greater than US$ 23,000. Urban form - specifically, a combined measure of urban contiguity and compactness - has a modest but statistically significant impact on air pollution levels: at mean values for independent variables, 1-standard-deviation increase in contiguity/compactness yields a 14% reduction in air pollution concentrations. This finding indicates that striving to increase the contiguity/compactness of a city may reduce air pollution, an encouraging result. Additional work is necessary to confirm these initial findings.
机译:我们考虑在此考虑城市形态的程度(城市的物理布局,例如,蔓延与密度)可以影响城市空气污染。在全球89个城市地区使用可用的基于卫星测量,我们比较空气污染(二氧化氮)和内置区域的空间模式(城市矫直性和紧凑性)。线性回归建模揭示了,正如预期的那样,空气污染与城市规模(城市人口和土地面积)成比例,较大的城市污染较差。与环境库兹涅茨曲线(EKC)理论一致,空气污染与人均GDP之间的关系是逆的“U”形状。收入上升的人均GDP的污染水平少于23,000美元,但人均GDP的污染降低超过23,000美元。城市形式 - 特别是城市矫形力和紧凑性的综合衡量标准 - 对空气污染水平具有适度但统计学意义的影响:在独立变量的平均值下,连续性/紧凑性的1标准偏差产生14%的空气减少14%污染浓度。这一发现表明,努力提高城市的图案/紧凑性可能会降低空气污染,令人鼓舞的结果。需要进行额外的工作来确认这些初始结果。

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