Motor Vehicle Collisions

The Motor Vehicle Collisions indicator captures the annual number of injuries and fatalities, regardless of transportation mode, on public roadways and rights of way per 1,000 people. In the U.S., more than 32,000 people are killed and 2 million are injured each year from motor vehicle crashes. The rate of deaths of motor vehicle occupants in Alabama is 13.7 (per 100,000 population), while the national rate is 7.0, according to the Centers for Disease Control, which drew its numbers from a nine-year period, 2003-2012. The number of young drivers 16 to 20 years old involved in fatal crashes increased by 10 percent from 2014; the number of young drivers who died in fatal crashes also increased by 10 percent from 2014. Motor vehicle injuries and fatalities are direct measures of adverse health outcomes (i.e., death and injury) as well as indirect measures. Because the risk of fatal injury is higher for walking and bicycling than for driving or taking public transportation, there is often a negative perception connected to walkability and safety, i.e., walking and biking are unsafe modes of transportation. This may curtail active modes of transportation (i.e., those that require individual physical activity) associated with longer life, improved mental health, and cancer prevention. In addition to the Health Systems and Public Safety domain, the Motor Vehicle Collisions indicator is tied to the Transportation Services domain. Data on motor vehicle crashes is available from the Critical Analysis Reporting Environment (CARE) database.

Neighborhood Indicator Value Ranksort ascending
East Birmingham 131.3 99
Fountain Heights 58.7 98
Thomas 47.5 97
Smithfield 45 96
Southside 41.7 95
Hooper City 36.6 94
Rising - West Princeton 34.8 93
Druid Hills 33.9 92
Central City 32.9 91
Acipco-Finley 28 90
Sherman Heights 25.6 89
Liberty Highlands 23.3 88
Woodlawn 21.9 87
East Thomas 20.4 86
South Woodlawn 19.7 85
Wahouma 19.1 84
Norwood 17.3 83
Five Points South 17.1 82
North Birmingham 15.4 81
Brownsville Heights 15.2 80
Harriman Park 14.9 79
Roebuck Springs 14.2 78
Graymont 13.7 76
Tuxedo 13.7 76
Overton 13.3 75
Eastwood 11.6 74
Woodland Park 11 73
College Hills 10.5 72
Kingston 9.6 71
Tarpley City 9.4 70
Ensley 9.1 69
Roebuck 8.4 68
Ensley Highlands 8.3 67
Brown Springs 8.1 66
Central Park 7.5 65
North Avondale 7.3 62
West Brownville 7.3 62
Fairmont 7.3 62
Belview Heights 7.2 61
Enon Ridge 6.8 60
West End Manor 6.7 59
North East Lake 6.4 58
East Lake 6 54
Sandusky 6 54
West Goldwire 6 54
Huffman 6 54
Evergreen 5.8 53
South East Lake 5.7 52
Bush Hills 5.5 51
North Pratt 5.4 50
Inglenook 5 49
Green Acres 4.9 48
Glen Iris 4.7 47
Germania Park 4.5 46
Jones Valley 4.4 45
Zion City 4.2 44
Riley 4.1 43
Oak Ridge 3.8 41
Crestline 3.8 41
Hillman 3.7 39
Collegeville 3.7 39
Grasselli Heights 3.5 38
Arlington - West End 3.4 37
Bridlewood 3.2 36
Forest Park 3.1 32
Killough Springs 3.1 32
Spring Lake 3.1 32
Central Pratt 3.1 32
Oxmoor 2.9 31
Oakwood Place 2.8 28
Crestwood South 2.8 28
Mason City 2.8 28
Apple Valley 2.7 27
Roosevelt 2.5 26
Wylam 2.4 25
South Titusville 2.3 23
Redmont Park 2.3 23
Smithfield Estates 2.2 22
Crestwood North 2.1 21
Sun Valley 1.8 20
Dolomite 1.7 19
Pine Knoll Vista 1.6 18
Garden Highlands 1.5 16
North Titusville 1.5 16
Powderly 1.4 13
Highland Park 1.4 13
Fairview 1.4 13
Gate City 1.3 12
Oak Ridge Park 1.2 11
Echo Highlands 1 10
South Pratt 0.9 9
East Avondale 0.7 8
East Brownville 0.6 7
Penfield Park 0.4 6
Industrial Center 0 1
Airport Highlands 0 1
Maple Grove 0 1
Brummitt Heights 0 1
Hillman Park 0 1

Key Citation:
1. NHTSA Traffic Safety Facts 2010
2. Ewing R, Dumbaugh E. 2009. The Built Environment and Traffic Safety: A Review of Empirical Evidence. Journal of Planning Literature 23: 347-367
3. Richards, D.C., 2010. Relationship between Speed and Risk of Fatal Injury: Pedestrians and Car Occupants. Transportation Research Laboratory. Road Safety Web Publication No. 16. Department for Transport: London, UK.
4. Pucher J. Dijkstra L. Promoting Safe Walking and Cycling to Improve Public Health: Lessons from the Netherlands and Germany," American Journal of Public Health, Vol. 93, No. 9, September 2003.
5. Retting RA, Ferguson SA, McCArtt AT. A Review of Evidence-Based Traffic Engineering Measures Designed to Reduce Pedestrian–Motor Vehicle Crashes. Am J Public Health. 2003 September; 93(9): 1456–1463.
Overlap with other domains: Transportation, Social Cohesion, and Economic Health
Stretch versions: An enhanced measure for traffic injuries could involve weighting traffic injuries based on mode of travel. Weights could be assigned based on local priorities, the health and environmental externalities of each mode (lower externalities = higher weight), or based on user vulnerability (higher weights for pedestrian modes).