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November 2009, Vol 99, No. S3 | American Journal of Public Health S629-S635
© 2009 American Public Health Association
DOI: 10.2105/AJPH.2008.149138


RESEARCH AND PRACTICE

The Influence of Traffic on Air Quality in an Urban Neighborhood: A Community–University Partnership

Jonathan J. Buonocore, MS, Harrison J. Lee, BS and Jonathan I. Levy, ScD

At the time of the study Jonathan J. Buonocore was a graduate student in the Department of Environmental Health, Harvard School of Public Health, Boston, MA, and a doctoral candidate in the Departments of Environmental Health and Health Policy and Management, Harvard School of Public Health, Boston. Harrison J. Lee was with the Mission Hill Health Movement, Boston. Jonathan I. Levy is with the Departments of Environmental Health and Health Policy and Management, Harvard School of Public Health, Boston.

Correspondence: Correspondence should be sent to Jonathan Buonocore, Exposure, Epidemiology, and Risk Program, Harvard School of Public Health, Landmark Center, 401 Park Dr West, PO Box 15677, Boston, MA, 02215 (e-mail: jbuonoco{at}hsph.harvard.edu). Reprints can be ordered at http://www.ajph.org by clicking on the "Reprints/Eprints" link.

Objectives. We evaluated the spatial and temporal patterns of traffic-related air pollutants in an urban neighborhood to determine factors contributing to elevated concentrations and to inform environmental justice concerns.

Methods. In the summer of 2007, we continuously monitored multiple air pollutants at a community site in the Mission Hill neighborhood of Boston, Massachussetts, and local high school students conducted mobile continuous monitoring throughout the neighborhood. We used regression models to explain variability in concentrations, considering various attributes of traffic, proximity to major roadways, and meteorology.

Results. Different attributes of traffic explained variability in fixed-site concentrations of ultrafine particles, fine particulate matter, and black carbon, with diurnal patterns and meteorological effects indicative of a greater local effect on ultrafine particles and black carbon. Mobile monitoring demonstrated that multiple traffic variables predict elevated levels of ultrafine particles, with concentrations of ultrafine particles decreasing by 50% within 400 meters of 2 major roadways.

Conclusions. Unlike fine particulate matter, ultrafine particles demonstrate significant spatial and temporal variability within an urban neighborhood, contributing to environmental justice concerns, and patterns can be well characterized with a community-based participatory research design.







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