Travel Time to Work

The Travel Time to Work indicator measures the average amount of time, in minutes, it takes for an individual to commute to work. Long commute times are often associated with an increase incidence in absence from work and decreased leisure time. Long commute times are also associated with health-related behaviors such as lack of physical activity, unhealthy diets, and sleep deprivation; and health outcomes such obesity, asthma, stress, exhaustion, low self-rated health, and physical ailments. Long commutes also contributes to traffic congestion and air pollution. Urban design and planning can affect commuting patterns, by promoting efficient traffic networks and public transportation to mitigate the negative effects of long commute times. Though featured under the Employment Opportunities domain, the Travel Time to Work indicator is also linked to the Transportation Services, Housing, Employment Opportunities, Economic Health, Health Systems and Public Safety, Social Cohesion, and Neighborhood Characteristics domains. The Travel Time to Work indicator is considered an “inverse” measure, i.e., the higher the commute time, the more negative the impact is on the neighborhood. The Travel Time to Work indicator data is available from the U.S. Census.

Neighborhood Indicator Value Ranksort ascending
Grasselli Heights 46.1 99
Mason City 36.4 98
Hillman 34.8 97
South Pratt 31.6 96
Airport Highlands 30.8 95
Brownsville Heights 30.7 94
Echo Highlands 29.5 93
Apple Valley 29.2 91
Central Park 29.2 91
Smithfield 29 90
Sun Valley 28.9 89
Dolomite 28.2 87
Oak Ridge 28.2 87
Green Acres 28 85
Ensley Highlands 28 85
Sherman Heights 27.7 84
Spring Lake 27.6 82
East Brownville 27.6 82
Rising - West Princeton 27.2 81
Roebuck Springs 27.1 80
Collegeville 27 79
Zion City 26.8 77
Hillman Park 26.8 77
Belview Heights 26.7 75
North Pratt 26.7 75
Bridlewood 26.6 73
Roosevelt 26.6 73
Central Pratt 26.3 72
Smithfield Estates 26.2 68
Killough Springs 26.2 68
Thomas 26.2 68
Tuxedo 26.2 68
Wylam 26.1 66
Roebuck 26.1 66
Brown Springs 25.9 63
Liberty Highlands 25.9 63
Hooper City 25.9 63
South East Lake 25.7 60
Penfield Park 25.7 60
Maple Grove 25.7 60
Gate City 25.4 59
Huffman 25.3 56
Tarpley City 25.3 56
North Titusville 25.3 56
Jones Valley 24.9 54
West Brownville 24.9 54
Inglenook 24.7 51
Overton 24.7 51
East Avondale 24.7 51
Garden Highlands 24.4 50
Acipco-Finley 24.3 45
Riley 24.3 45
West Goldwire 24.3 45
Norwood 24.3 45
Woodland Park 24.3 45
Arlington - West End 24.2 44
Germania Park 24 42
East Lake 24 42
Fairview 23.9 38
Industrial Center 23.9 38
Oxmoor 23.9 38
Ensley 23.9 38
Sandusky 23.7 37
West End Manor 22.7 36
Powderly 22.5 35
Southside 22 34
Graymont 21.7 33
East Thomas 21.5 32
South Woodlawn 21.3 31
Woodlawn 21.2 27
North Birmingham 21.2 27
North East Lake 21.2 27
College Hills 21.2 27
Druid Hills 21.1 26
Oak Ridge Park 21 25
Oakwood Place 20.9 23
North Avondale 20.9 23
Crestwood South 20.7 21
Bush Hills 20.7 21
Glen Iris 20.6 19
Eastwood 20.6 19
Wahouma 20.5 18
South Titusville 20.3 16
Crestline 20.3 16
Fountain Heights 20.1 15
Harriman Park 20 13
Fairmont 20 13
Forest Park 19.8 12
Pine Knoll Vista 19.2 10
Brummitt Heights 19.2 10
Kingston 18.5 8
Enon Ridge 18.5 8
Crestwood North 18.4 7
East Birmingham 18.3 6
Redmont Park 17.9 5
Evergreen 17.5 4
Five Points South 17 3
Highland Park 15.8 2
Central City 15.5 1

Key Citations:
1. American Community Survey (ACS), 2011. U.S. Census Bureau.
2. An, Jane, et al. “Issue Brief #9 Exploring the Social Determinants of Health; Work, Workplaces and Health” (2011). Robert Wood Johnson Foundation.
3. Cervero, Robert and Michael Duncan. “Which Reduces Vehicle Travel More: Jobs-Housing Balance or Retail-Housing Mixing?” (2008). Journal of the American Planning Association.
4. Christian, Thomas J. “Trade-offs Between Commuting Time and Health-Related Activities” (2012). Journal of Urban Health: Bulletin of the New York Academy of Medicine.
5. McConnell, Rob, et al. “Asthma and School Commuting Time” (2010). Journal of Occupational and Environmental Medicine.
6. National Household Travel Survey (NHTS), 2009. U.S. Department of Transportation, Federal Highway Administration.
7. Redmond, Lothlorien S. and Patricia L. Mokhtarian. “The positive utility of the commute: modeling ideal commute time and relative desired commute amount” (2001) Transportation, Kluwer Academic Publishers.