Residential Proximity to Traffic

The Residential Proximity to Traffic indicator measures how much of a residential neighborhood is impacted by streets that carry a large amount of traffic. It serves as a proxy for the impact on health from motor vehicle air pollution and traffic noise. Significant evidence indicates a link between the proximity to highways and increased incidence of adverse health effects from exposure to air pollution and excessive traffic noise. A recent review determined that there is sufficient evidence of a causal association between exposure to traffic-related air pollution and asthma exacerbation and suggestive evidence of a causal association for onset of childhood asthma, non-asthma respiratory symptoms, impaired lung function, all-cause mortality, cardiovascular mortality, and cardiovascular morbidity. Epidemiological studies addressing the relationship between air pollution and birth defects have accumulated over the past decade. A growing body of evidence demonstrates that minority populations and persons of lower socioeconomic status experience higher residential exposure to traffic and traffic-related air pollution than non-minorities and persons of higher socioeconomic status. Listed under the Environmental Hazards domain, this indicator is also tied to the Transportation, Economic Health, Housing, Health Systems and Public Safety, and Neighborhood Characteristics domains. It is an “inverse” measure, meaning the higher the value, the higher the negative impact on neighborhood health. Computation of this indicator requires highway, traffic volume, and population data which are available from the U.S. Census, Alabama Department of Transportation (ALDOT) and the Regional Planning Commission of Greater Birmingham.

Neighborhoodsort ascending Indicator Value Rank
Zion City 0.0% 1
Wylam 0.0% 1
Woodlawn 14.6% 91
Woodland Park 0.0% 1
West Goldwire 0.0% 1
West End Manor 0.0% 1
West Brownville 0.0% 1
Wahouma 14.2% 90
Tuxedo 18.6% 94
Thomas 2.8% 72
Tarpley City 0.0% 1
Sun Valley 0.0% 1
Spring Lake 0.8% 67
Southside 56.6% 99
South Woodlawn 11.0% 87
South Titusville 5.0% 79
South Pratt 0.0% 1
South East Lake 2.6% 70
Smithfield Estates 0.3% 63
Smithfield 9.8% 83
Sherman Heights 0.0% 1
Sandusky 0.0% 1
Roosevelt 0.0% 1
Roebuck Springs 4.9% 78
Roebuck 0.4% 64
Rising - West Princeton 0.0% 1
Riley 0.0% 1
Redmont Park 7.5% 80
Powderly 0.0% 1
Pine Knoll Vista 0.0% 1
Penfield Park 0.0% 1
Oxmoor 0.0% 1
Overton 10.8% 84
Oakwood Place 0.0% 1
Oak Ridge Park 0.0% 1
Oak Ridge 0.0% 1
Norwood 10.9% 86
North Titusville 0.0% 1
North Pratt 0.4% 64
North East Lake 0.0% 1
North Birmingham 10.8% 84
North Avondale 0.0% 1
Mason City 0.0% 1
Maple Grove 0.0% 1
Liberty Highlands 0.0% 1
Kingston 2.7% 71
Killough Springs 0.0% 1
Jones Valley 0.0% 1
Inglenook 4.4% 76
Industrial Center 0.0% 1
Huffman 0.4% 64
Hooper City 3.9% 75
Hillman Park 0.0% 1
Hillman 0.0% 1
Highland Park 8.8% 82
Harriman Park 0.0% 1
Green Acres 0.0% 1
Graymont 0.0% 1
Grasselli Heights 0.0% 1
Glen Iris 4.8% 77
Germania Park 0.0% 1
Gate City 0.0% 1
Garden Highlands 0.0% 1
Fountain Heights 31.1% 97
Forest Park 0.0% 1
Five Points South 3.0% 73
Fairview 0.0% 1
Fairmont 0.8% 67
Evergreen 28.3% 96
Ensley Highlands 15.7% 93
Ensley 8.3% 81
Enon Ridge 12.5% 88
Echo Highlands 0.0% 1
Eastwood 0.0% 1
East Thomas 21.1% 95
East Lake 0.0% 1
East Brownville 0.0% 1
East Birmingham 0.0% 1
East Avondale 0.0% 1
Druid Hills 0.0% 1
Dolomite 0.0% 1
Crestwood South 0.0% 1
Crestwood North 0.0% 1
Crestline 0.0% 1
Collegeville 0.0% 1
College Hills 15.3% 92
Central Pratt 0.0% 1
Central Park 0.0% 1
Central City 35.8% 98
Bush Hills 3.1% 74
Brummitt Heights 0.0% 1
Brownsville Heights 0.0% 1
Brown Springs 0.0% 1
Bridlewood 0.0% 1
Belview Heights 1.0% 69
Arlington - West End 0.0% 1
Apple Valley 0.0% 1
Airport Highlands 0.0% 1
Acipco-Finley 12.9% 89

Key Citations:
1. CARB (2005). Air Quality and Land Use Handbook: A Community Health Perspective. California Air Resources Board. April 2005. Available at: http://www.arb.ca.gv/ch/handbook.Pdf
2. HEI (2010). Traffic-Related Air Pollution: A Critical Review of the Literature on Emissions, Exposure, and Health Effects. Health Effects Institute, January 2010. Available at: http://pubs.healtheffects.org/getfile.php?u=553
3. Zhu, Y et al. (2002). “Study of Ultra-Fine Particles Near A Major Highway With Heavy-Duty Diesel Traffic.” Atmospheric Environment. 2002 ; 36:4323-4335.
4. Zhou, Y. and Levy, J. (2007). Factors influencing the spatial extent of mobile source air pollution impacts: a meta-analysis. BMC Public Health. doi:10.1186/1471-2458-7-89. Available at http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1890281/
5. Rioux (2010). “Characterizing Urban Traffic Exposures Using Transportation Planning Tools: An Illustrated Methodology for Health Researchers”. Journal of Urban Health: Bulletin of the New York Academy of Medicine, Vol. 87, No. 2.