Abstract

Air pollution has a major impact on human health and quality of life; therefore, its determinants should be studied to promote effective management and reduction. Here, we examined the influence of the built environment on air pollution by analyzing the relationship between the built environment and particulate matter (i.e., PM_2.5 and PM₁₀). Air pollution data collected in Seoul in 2014 were spatially mapped using geographic information system tools, and PM_2.5 and PM₁₀ concentrations were determined in individual neighborhoods using an interpolation method. PM_2.5 and PM₁₀ failed to show spatial autocorrelation; therefore, we analyzed the associations between PM fractions and built environment characteristics using an ordinary least squares regression model. PM_2.5 and PM₁₀ exhibited some differences in spatial distributions, suggesting that the built environment has different effects on these fractions. For instance, high PM₁₀ concentrations were associated with neighborhoods with more bus routes, bus stops, and river areas. Meanwhile, both PM_2.5 and PM₁₀ were more likely to be high in areas with more commercial areas and multi-family housing, but low in areas with more main roads, more single-family housing, and high average gross commercial floor area. This study is expected to contribute to establishing policies and strategies to promote sustainability in Seoul, Korea. View Full-Text