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.

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

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.