Formal health impact assessment (HIA), currently underused in the United States, is a relatively new process for assisting decision-makers in non-health sectors by estimating the expected public health impacts of policy and planning decisions. In this paper we quantify the expected air quality impacts of increased traffic due to a proposed new university campus extension in Chapel Hill, North Carolina. In so doing, we build the evidence base for quantitative HIA in the United States and develop an improved approach for forecasting traffic effects on exposure to ambient fine particulate matter (PM2.5) in air. Very few previous US HIAs have quantified health impacts and instead have relied on stakeholder intuition to decide whether effects will be positive, negative, or neutral. Our method uses an air dispersion model known as CAL3QHCR to predict changes in exposure to airborne, traffic-related PM2.5 that could occur due to the proposed new campus development. We employ CAL3QHCR in a new way to better represent variability in road grade, vehicle driving patterns (speed, acceleration, deceleration, and idling), and meteorology. In a comparison of model predictions to measured PM2.5 concentrations, we found that the model estimated PM2.5 dispersion to within a factor of two for 75% of data points, which is within the typical benchmark used for model performance evaluation. Applying the model to present-day conditions in the study area, we found that current traffic contributes a relatively small amount to ambient PM2.5 concentrations: about 0.14 μg/m 3 in the most exposed neighborhood—relatively low in comparison to the current US National Ambient Air Quality Standard of 12 μg/m 3 . Notably, even though the new campus is expected to bring an additional 40,000 daily trips to the study community by the year 2025, vehicle-related PM2.5 emissions are expected to decrease compared to current conditions due to anticipated improvements in vehicle technologies and cleaner fuels.
KeywordsPM2.5TrafficHealth Impact Assessment
J. Kemm, “Perspectives on Health Impact Assessment,” Bulleting of the World Health Organization, Vol. 81, No. 6, 2003, p. 387.
National Research Council, “Improving Health in the United States: The Role of Health Impact Assessment,” National Academy Press, Washington DC, 2011.
A. Wernham, “Health Impact Assessments Are Needed in Decision Making about Environmental and Land-Use Policy,” Health Affairs (Project Hope), Vol. 30, No. 5, 2011, pp. 947-956. http://dx.doi.org/10.1377/hlthaff.2011.0050
R. Lozano, M. Naghavi, K. Foreman, S. Lim, K. Shibuya, V. Aboyans and C. J. L. Murray, “Global and Regional Mortality from 235 Causes of Death for 20 Age Groups in 1990 and 2010: A Systematic Analysis for the Global Burden of Disease Study 2010,” Lancet, Vol. 380, No. 9859, 2012, pp. 2095-2128. http://dx.doi.org/10.1016/S0140-6736(12)61728-0
A. L. Dannenberg, R. Bhatia, B. L. Cole, S. K. Heaton, J. D. Feldman and C. D. Rutt, “Use of Health Impact Assessment in the U.S.: 27 Case Studies, 1999-2007,” American Journal of Preventive Medicine, Vol. 34, No. 3, 2008, pp. 241-256. http://dx.doi.org/10.1016/j.amepre.2007.11.015
M. Wismar, J. Blau, K. Ernst and J. Figueras, “The Effectiveness of Health Impact Assessment: Scope and Limitations of Supporting Decision-Making in Europe,” Political Science, Copenhagen WHO Regional Office for Europe, 2007.
R. Bhatia and M. Katz, “Estimation of Health Benefits from a Local Living Wage Ordinance,” American Journal of Public Health, Vol. 91, No. 9, 2001, pp. 1398-1402. http://dx.doi.org/10.2105/AJPH.91.9.1398
L. Singleton-Baldrey, “The Impacts of Health Impact Assessment: A Review of 54 Health Impact Assessments, 2007-2012,” University of North Carolina at Chapel Hill, Chapel Hill, 2012.
R. Bhatia and E. Seto, “Quantitative Estimation in Health Impact Assessment: Opportunities and Challenges,” Environmental Impact Assessment Review, Vol. 31, No. 3, 2011, pp. 20301-20309. http://dx.doi.org/10.1016/j.eiar.2010.08.003
M. Ritner, K. K. Westerlund, C. D. Cooper and M. Claggett, “Accounting for Acceleration and Deceleration Emissions in Intersection Dispersion Modeling Using MOVES and CAL3QHC,” Journal of the Air and Waste Management Association, Vol. 63, No. 6, 2013, pp. 724-736. http://dx.doi.org/10.1080/10962247.2013.778220
University of North Carolina at Chapel Hill, “About UNC,” 2013. http://www.unc.edu/about/
Town of Chapel Hill, “Snapshot of the Town of Chapel Hill,” 2012. http://www.townofchapelhill.org/Modules/ShowDocument.aspx?documentid=12177
K. Ross, “Carolina North Hearing Highlights Traffic Impact,” The Carrboro Citizen, 2009. http://www.carrborocitizen.com/main/2009/05/14/carolina-north-hearing-highlights-traffic-impact/
Vanasse Hangen Brustlin, Inc., “Transportation Impact Analysis for the Carolina North Development,” Watertown, 2009.
Health Effects Institute, “Traffic-Related Air Pollution: A Critical Review of the Literature on Emissions, Exposure, and Health Effects,” HEI Special Report 17, Boston, 2010.
US Census Bureau, “Census Block Shapefiles with 2010 Census Population and Housing Unit Counts,” 2011.
Orange County, “Aerials 2010,” 2012.
Town of Chapel Hill, “Street Centerline,” 2009.
Town of Chapel Hill, “2ft Elevation Contours,” 2009.
US Environmental Protection Agency, “Guidance on Quantitative PM Hot-Spot Analyses for Transportation Conformity,” 2011. http://www.epa.gov/otaq/stateresources/transconf/policy/pm-hotspot-guide.pdf
N.C. Division of Air Quality, “MOVES Input and Output Giles: Hickory and Triad PM2.5 Redesignation Demonstration and Maintenance Plan,” 2011.
P. Mulawa, S. Cadle, H. Knapp, R. Zweidinger, R. Snow, R. Lucas and J. Goldbach, “Effect of Ambient Temperature and E-10 Fuel on Primary Exhaust Particulate Matter Emissions from Light-Duty Vehicles,” Environmental Science & Technology, Vo. 31, 1997, pp. 1302-1307. http://dx.doi.org/10.1021/es960514r
D. Choi, M. Beardsley, D. Brzezinski, J. Koupal and J. Warila, “MOVES Sensitivity Analysis: The Impacts of Temperature and Humidity on Emissions,” The MOVES Workshop 2011, US Environmental Protection Agency, Ann Arbor, 2011.
National Climatic Data Center, “Quality Controlled Local Climatological Data (QCLCD),” 2013.
National Oceanic and Atmospheric Administration, “NOAA/ESRL Radiosonde Database,” 2013.
H. Chen, S. Bai, D. Eisinger, D. Niemeier and M. Claggett, “Predicting Near-Road PM2.5 Concentrations,” Transportation Research Record: Journal of the Transportation Research Board, Vol. 2123, 2009, pp. 26-37. http://dx.doi.org/10.3141/2123-04
M. G. Boarnet, D. Houston, R. Edwards, M. Princevac, G. Ferguson, H. Pan and C. Bartolome, “Fine Particulate Concentrations on Sidewalks in Five Southern California Cities,” Atmospheric Environment, Vol. 45, No. 24, 2011, pp. 4025-4033. http://dx.doi.org/10.1016/j.atmosenv.2011.04.047
J. S. Wang, T. L. Chan, Z. Ning, C. W. Leung, C. S. Cheung and W. T. Hung, “Roadside Measurement and Prediction of CO and PM 2.5 Dispersion from On-Road Vehicles in Hong Kong,” Transportation Research Part D: Transport and Environment, Vol. 11, No. 4, 2006, pp. 242-249. http://dx.doi.org/10.1016/j.trd.2006.04.002
Y. Wu, J. Hao, L. Fu, Z. Wang and U. Tang, “Vertical and Horizontal Profiles of Airborne Particulate Matter near Major Roads in Macao, China,” Atmospheric Environment, Vol. 36, No. 31, 2002, pp. 4907-4918. http://dx.doi.org/10.1016/S1352-2310(02)00467-3
TSI, Inc., “DustTrak DRX Aerosol Monitor Theory of Operation (EXPMN-002),” 2012.
E. A. Yura, T. Kear and D. Niemeier, “Using CALINE Dispersion to Assess Vehicular PM 2.5 Emissions,” Atmospheric Environment, Vol. 41, No. 38, 2007, pp. 8747-8757. http://dx.doi.org/10.1016/j.atmosenv.2007.07.045
K. Zhang and S. Batterman, “Near-Road Air Pollutant Concentrations of CO and PM2.5: A Comparison of MOBILE6.2/CALINE4 and Generalized Additive Models,” Atmospheric Environment, Vol. 44, No. 14, 2010, pp. 1740-1748. http://dx.doi.org/10.1016/j.atmosenv.2010.02.008
P. E. Benson, “CALINE3, A Versatile Dispersion Model for Predicting Air Pollutant Levels Near Highways and Arterial Streets,” Sacramento, 1979.
P. E. Benson, “CALINE4, A Dispersion Model for Predicting Air Pollutant Concentrations near Roadways,” Sacramento, 1989.
US Environmental Protection Agency, “Meteorological Monitoring Guidance for Regulatory Modeling Applications,” EPA-454/R-99-005, Research Triangle Park, 2000.
Battelle, “Detailed Monitoring Protocol for U.S. 95 Settlement Agreement,” Columbus, 2006.
S. Gokhale and N. Raokhande, “Performance Evaluation of Air Quality Models for Predicting PM10 and PM2.5 Concentrations at Urban Traffic Intersection during Winter Period,” Science of the Total Environment, Vol. 394, No. 1, 2008, pp. 9-24. http://dx.doi.org/10.1016/j.scitotenv.2008.01.020
Human Impact Partners, “Pittsburg Railroad Avenue Specific Plan Health Impact Assessment,” Oakland, 2008.
Human Impact Partners, “Pathways to Community Health: Evaluating the Healthfulness of Affordable Housing Opportunity Sites along the San Pablo Avenue Corridor Using Health Impact Assessment,” Oakland, 2009.
UC Berkeley Health Impact Group, “MacArthur BART Health Impact Assessment,” Berkeley, 2007.