Table 4.
Geographic scale and types of GIS-based measures from selected studies, by outcome typea
| Study | Geographic scale |
Population density |
Land- use mix |
Access to recreation facilities |
Street pattern |
Sidewalk coverage |
Vehicular traffic |
Crime | Other | Composite indexb |
|---|---|---|---|---|---|---|---|---|---|---|
|
Transportation
activity outcomes | ||||||||||
| Boer (2007)104 | 0.25-mi buffer | X | X | X | X | |||||
| Braza (2004)105 | 0.5-mi buffer | X | X | |||||||
| Cervero (1997)106 | Census tract | X | ||||||||
| Cervero (2003)107 | 1-, 5-mi buffer | X | X | |||||||
| Ewing (2004)108 | Traffic analysis zones |
X | X | X | X | X | ||||
| Frank (1994)109 | Census tract | X | X | |||||||
| Kerr (2006)110 | 1-km network buffer |
X | X | X | X | |||||
| Kockelman (1997)111 |
Traffic analysis zones, census tracts |
X | X | |||||||
| Krizek (2003)112 | 150-m grid cells |
X | X | |||||||
| Krizek (2006)113 | c | X | X | |||||||
| McNally (1997)114 | Neighborhood | X | ||||||||
| Rodriguez (2004)115 |
Commute route | X | X | X | ||||||
| Tilt (2007)67 | 0.40-mi network buffer |
X | X | |||||||
|
| ||||||||||
|
Leisure activity
outcomes | ||||||||||
| Berke (2007)116 | 0.1-, 0.5-, 1- km buffers |
X | ||||||||
| Diez Roux (2007)117 |
0.5-, 1-, 2-, 5- mi buffer |
X | ||||||||
| Ewing (2003)118 | County, metropolitan area |
X | ||||||||
| Giles-Corti (2005)119 |
c | X | ||||||||
| Gomez (2004)120 | 0.5-mi buffer | X | X | |||||||
| Gordon-Larsen (2006)121 |
8.05-km buffer |
X | ||||||||
| Hillsdon (2006)122 | c | X | ||||||||
| Lindsey (2006)123 | 0.5-mi network buffer |
X | X | X | X | |||||
| Nelson (2006)124 | 3-km buffer | X | ||||||||
| Rutt (2005)125 | 0.25-mi buffer | X | X | X | X | X | X | |||
| Sallis (1990)19 | 1-, 2-, 3-, 4-, 5-mi buffer |
X | ||||||||
|
| ||||||||||
|
Transportation and
leisure, or total activity outcomes | ||||||||||
| Ball (2007)126 | Neighborhood | X | X | X | ||||||
| Cohen (2006)127 | 0.5-mi buffer | X | X | |||||||
| Doyle (2006)128 | County | X | X | |||||||
| Duncan (2005)129 | 0.5-, 1-mi buffer |
X | X | X | X | |||||
| Epstein (2006)130 | 0.5-mi buffer | X | X | X | X | |||||
| Forsyth (2007)131 | 0.2-, 0.4-, 0.8-, 1.6-km street network, straight-line buffer, 805 X 805-metric grid |
X | X | |||||||
| Forsyth (2008)132 | 0.2-, 0.4-, 0.8-, 1.6-km street network, straight-line buffer, 805 X 805-metric grid |
X | X | X | X | X | ||||
| Frank (2005)133 | 1-km network buffer |
X | ||||||||
| Handy (2006)134 | 400-, 800-, 1600-m buffer |
X | ||||||||
| Hillsdon (2007)135 | Super Output Area (England) |
X | ||||||||
| Jilcott (2007)69 | 1-, 2-mi buffer | X | ||||||||
| King (2005)136 | 1.5-km network buffer, block group |
X | X | |||||||
| Kligerman (2007)137 |
0.5-mi network buffer |
X | X | |||||||
| Lee (2006)138 | 1-km buffers | X | X | X | X | X | X | X | ||
| McGinn (2007)68 | 0.125-, 0.5-, 1- mi buffer |
X | ||||||||
| McGinn (2007)26 | 0.125-, 0.5-, 1- mi buffer |
X | X | |||||||
| Michael (2006)66 | Neighborhood | X | X | |||||||
| Norman (2006)139 | 0.5-, 1-mi network buffer |
X | X | X | X | X | ||||
| Roemmich (2007)140 |
0.5-mi buffer | X | X | X | X | |||||
| Troped (2001)141 | N/A | X | X | X | ||||||
| Wendel-Vos (2004)142 |
0.3-, 0.5-km buffer |
X | ||||||||
|
| ||||||||||
|
BMI/overweight/
obese outcomes | ||||||||||
| Burdette (2004)143 | Neighborhood | X | X | X | ||||||
| Ewing (2006)144 | County | X | X | |||||||
| Frank (2004)145 | 1-km network buffer |
X | X | X | ||||||
| Lopez (2004)146 | Metropolitan area |
X | ||||||||
| Ross (2007)147 | Census tract, census metropolitan area (Canada) |
X | ||||||||
| Rundle (2007)148 | Census tract | X | X | X | X | |||||
Some studies also included BMI as an outcome variable
Combination of two or more built-environment measures from different domains summarized into a single variable
Distance to specified destination served as GIS-based measure, where the individual study participant served as unit of analysis.