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Urban air pollution has been long understood as a critical threat to human health worldwide. Worsening urban air quality can cause increased rates of asthma, respiratory illnesses, and mortality. Air pollution is also an important environmental justice issue as it disproportionately burdens populations made vulnerable by their socioeconomic and health status. Using spatially continuous fine-scale air quality data for the city of Philadelphia, this study analyzed the relationship between two air pollutants: particulate matter (PM2.5, black carbon (BC), and three dimensions of vulnerability: social (non-White population), economic (poverty), and health outcomes (asthma prevalence). Spatial autoregressive models outperformed Ordinary Least Squares (OLS) regression, indicating the importance of considering spatial autocorrelation in air pollution-related environmental-justice modeling efforts. Positive relationships were observed between PM2.5 concentrations and the socioeconomic variables and asthma prevalence. Percent non-White population was a significant predictor of BC for all models, while percent poverty was shown to not be a significant predictor of BC in the best fitting model. Our findings underscore the presence of distributive environmental injustices, where marginalized communities may bear a disproportionate burden of air pollution within Philadelphia.
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Mapping Social Vulnerability to Air Pollution in Philadelphia, PA
Environmental stresses borne of population growth, consumerism and industrialization have subjected many populations worldwide to elevated air pollution. Philadelphia, a historically industrial city in Northeastern United States, is ranked in the top 25 cities in the country for harmful air pollutants (PM2.5, ozone). Philadelphia also experiences pollution & associated health effects on socioeconomically disadvantaged communities. This study seeks to succinctly obstructive pulmonary disease) through a suite of census-derived attributes. Using ArcMap Geographical Information System software (ESRI), attributes, categorized as promoting vulnerability or adaptability, are combined with air pollution data collected in summer 2019 to form a non-weighted ‘Social Vulnerability Index’ (SVI) at a census-tract level for Philadelphia. SVI demonstrated several clusters of neighborhoods with great disparities in socioeconomic factors. The census tracts with higher SVI tended to have higher levels of asthma and COPD (and vice versa). With improvements and acknowledgement of Philadelphia’s uniqueness, SVI of this kind may be used to inform policymakers on city planning (e.g. placement of future highways, industrial centers, etc.) to alleviate compounded respiratory/ pulmonary-related stresses on disadvantaged communities. Future analysis including green space coverage, other intersection between socioeconomic factors, air pollution, and health in Philadelphia, PA.
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- Award ID(s):
- 1832407
- PAR ID:
- 10286921
- Date Published:
- Journal Name:
- Veritas
- Volume:
- 2
- ISSN:
- 0188-9435
- Page Range / eLocation ID:
- 122-130
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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