Land Use Mix

The Land Use Mix indicator measures the average neighborhood-level diversity of destinations based on the mix of eight different employment types (office, retail, industrial, service, entertainment, education, health, and public sector). Though results from studies have varied, recent reports have consistently found positive associations “between walking for transportation and density, distance to nonresidential destinations, and land use mix." Having a mixed of land uses within a neighborhood has been linked to increased physical activity and improve public health. Conversely, a lack of land use mix can contribute lower physical activity, which in turn can lead to increased risk for heart disease, diabetes, high blood pressure, certain cancers, stroke, sleep apnea, osteoarthritis and other diseases. For example, studies have found that “residents from communities with higher density, greater connectivity, and more land use mix report higher rates of walking/cycling for utilitarian purposes than low-density, poorly connected, and single land use neighborhoods” even after accounting for socioeconomic and demographic characteristics. The Land Use Mix indicator is derive from Environmental Protection Agency Smart Location Database, InfoGroup, Inc. and the City of Birmingham existing land use.

Neighborhoodsort descending Indicator Value Rank
Acipco-Finley 0.7 9
Airport Highlands 0.4 76
Apple Valley 0 94
Arlington - West End 0.6 39
Belview Heights 0.7 9
Bridlewood 0.5 64
Brown Springs 0.7 9
Brownsville Heights 0.3 83
Brummitt Heights 0 94
Bush Hills 0.7 9
Central City 0.7 9
Central Park 0.7 9
Central Pratt 0.4 76
College Hills 0.6 39
Collegeville 0.4 76
Crestline 0.6 39
Crestwood North 0.5 64
Crestwood South 0.4 76
Dolomite 0.5 64
Druid Hills 0.5 64
East Avondale 0.6 39
East Birmingham 0.3 83
East Brownville 0.4 76
East Lake 0.7 9
East Thomas 0.6 39
Eastwood 0.6 39
Echo Highlands 0.6 39
Enon Ridge 0.3 83
Ensley 0.8 1
Ensley Highlands 0.7 9
Evergreen 0.2 90
Fairmont 0.6 39
Fairview 0.6 39
Five Points South 0.6 39
Forest Park 0.7 9
Fountain Heights 0.6 39
Garden Highlands 0.6 39
Gate City 0.6 39
Germania Park 0.5 64
Glen Iris 0.7 9
Grasselli Heights 0.2 90
Graymont 0.6 39
Green Acres 0.7 9
Harriman Park 0.6 39
Highland Park 0.5 64
Hillman 0.4 76
Hillman Park 0 94
Hooper City 0.7 9
Huffman 0.6 39
Industrial Center 0.6 39
Inglenook 0.5 64
Jones Valley 0.7 9
Killough Springs 0.7 9
Kingston 0.7 9
Liberty Highlands 0.6 39
Maple Grove 0 94
Mason City 0.5 64
North Avondale 0.7 9
North Birmingham 0.8 1
North East Lake 0.7 9
North Pratt 0.6 39
North Titusville 0.7 9
Norwood 0.7 9
Oak Ridge 0.5 64
Oak Ridge Park 0.6 39
Oakwood Place 0.7 9
Overton 0.7 9
Oxmoor 0.7 9
Penfield Park 0.4 76
Pine Knoll Vista 0 94
Powderly 0.6 39
Redmont Park 0.7 9
Riley 0.7 9
Rising - West Princeton 0.7 9
Roebuck 0.8 1
Roebuck Springs 0.8 1
Roosevelt 0.7 9
Sandusky 0.5 64
Sherman Heights 0.5 64
Smithfield 0.8 1
Smithfield Estates 0.6 39
South East Lake 0.7 9
South Pratt 0.1 92
South Titusville 0.3 83
South Woodlawn 0.5 64
Southside 0.8 1
Spring Lake 0.8 1
Sun Valley 0.3 83
Tarpley City 0.1 92
Thomas 0.7 9
Tuxedo 0.8 1
Wahouma 0.6 39
West Brownville 0.3 83
West End Manor 0.6 39
West Goldwire 0.3 83
Woodland Park 0.6 39
Woodlawn 0.7 9
Wylam 0.7 9
Zion City 0 94

Key Citations:
1. Saelens BE, Handy SL. Built environment correlates of walking: A review. Medicine and Science in Sports and Exercise 2008;40:S550-S566. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2921187/.
2. Saelens BE, Sallis JF, Frank LD. Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. Annals of Behavioral Medicine 2003;25:80-91. http://www.ncbi.nlm.nih.gov/pubmed/12704009.