Table 2.
Original data articles published in 2005–2006 examining the relation between environmental factors and adults’ walking
Reference | Sample | Environmental factor(s) data source |
Environmental factor(s) examined |
Analyzed geographic unit |
Walking metric | Covariates | Results | |
---|---|---|---|---|---|---|---|---|
Besser [5] | 3312 transit users out of 105,942 adults in survey | 2001 U.S. National Household Travel Survey | Objective population density | Census block group |
|
Demos |
|
|
Bopp [7] | 572 adult African- American Methodist Episcopal congregation members | Survey | Composite score of dichotomous coded perceptions of neighborhood:
|
Individual respondent | Met or did not meet recommendation of walking ≥30 mins ≥5 days/week | Demos, Psych-PA | Odds of meeting walking recommendation not related to environmental score | |
Burton [10] | 1827 adults living in Brisbane, Australia | Survey | Perceived physical features (e.g., footpaths), aesthetics (e.g., cleanliness), traffic, and facilities (e.g., gyms, pools) | Individual respondent | Likelihood of none or some walking activity | Demos, Psych-PA | Environment accounted for 0.6% of the unique variance in walking activity | |
Cao [11] | 1368 adults in Austin, TX area | Survey | Perceived neighborhood characteristics (safety, tree shade, aesthetics, traffic, distance to store, route comfort, store quality); objective factors of above perceived characteristics as well as street characteristics and sidewalk information via GIS databases, maps, aerial photos, site visits | Individual respondent; neighborhood level for objective factors |
|
Demos, Self-select |
Neither type of walking related to any objective neighborhood factors; walking related to perceived factors after accounting for residential preference |
|
Clifton [15] | Various samples
|
Survey; local land use and street network data | Objective:
|
Census tract or transportation analysis zone for objective factors; individual respondent for perceived factors |
|
Demos |
|
|
Cole [16] | 3,392 New South Wales adults | Australian Bureau of Statistics’ Remote and Rural Index | Urban or rural based on distance to goods/services and population density | Health region | Any walking at all in past 2 weeks for
|
Demos |
|
|
DeBourdeaudhuij[19] | 247 adults from Oeiras, Portugal; 279 adults from Ghent, Belgium | Survey | Perceived residential density, land use mix, transit access, pedestrian infrastructure, traffic and crime safety, street connectivity; convenience of physical activity facilities | Individual respondent | Long IPAQ usual week time spent
|
Demos, Psych-PA |
|
|
Doyle [20] | 9,229 U.S. adults from NHANES III | Street network in 35 large counties | Walkability composite of block size, percent of blocks with area <.01 square miles, number of 3-, 4-, 5-way intersections divided by number of road miles | County level | Ever walk 1 mile or more without stopping in the last month | Demos | Higher likelihood of ever walking among residents in counties with higher walkability scores, even after controlling for individual demographic factors (effect stronger for lifelong residents of an area); walkability had stronger influence than crime on likelihood of walking | |
Duncan [21] | 1,215 adult Rockhampton, Queensland residents | Survey; Rockhampton City Council GIS, telephone directory, state’s electric supplier | Perceived proximity to shops/services and open space, aesthetics, footpaths condition, traffic, street lighting; Objective distance to:
Objective measure of registered dogs within certain radii, amount of roadway within 20m of streetlight |
Distance from residence | Any recreational walking in past week | Demos, Psych-PA | Higher likelihood of recreational walking related to having poorer perceptions of footpath conditions Higher likelihood of recreational walking related to greater objective proximity of footpath (<.4km from home), middle tertile of number of registered dogs within .8km radius of home, and having a newsagent > 600m away from home |
|
Frank [23] | 1,228 adult King County, WA residents | Census, King County parcel-level land use and street data | Walkability composite of net residential density, street connectivity, land use mix, retail floor area ratio | 1-km network buffer around residence | Long IPAQ usual week time spent walking/cycling for transport | Demos | Greater time spent walking/cycling for transport related to walkability | |
Gauvin [25] | Individuals from 112 Montreal census tracts responding to ‘walk to work?’ Census question | Independent rater observation | Activity friendliness (e.g., quality of pedestrian system), safety (e.g., from crime, traffic), density of destinations (e.g., number of people- oriented destinations, variety of destinations) | Econometric street segment evaluation | Percentage of individuals who walk to work | None | Walking to work related to density of destinations (positive), safety (negative), and activity friendliness (negative) | |
Giles-Corti [26] | 1773 adults in Perth, Australia; observations of 772 people using public open space | Public open space observations of environment and users | Public open space
|
Individual respondent or observed individual |
|
Demos |
|
|
Ham [28] | NPTS (Year 1995) and NHTS (2001 | Census | Urbanization classification (urban, second city, suburban, town, and rural) | Census block group in which respondent lived | Rate of walk trips (leisure/exercise walk trips excluded) relative to total trips < 1mile | None | Adult walk trips less likely for rural and town residents | |
Handy [30] | 1,627 adults in 4 ‘traditional’ and 4 ‘suburban’ neighborhoods | Survey | Perceived accessibility, physical activity options, safety, socializing, outdoor spaciousness, and attractiveness (and change in these factors for movers) Objective measure of network distance to selected destinations and number of destinations within specified network radii Travel attitudes and neighborhood preferences |
Individual respondent |
|
Demos, Self-select |
|
|
Hoehner [34] | 1,053 adults in St. Louis, MO (“low- walkable” city) and Savannah, GA (“high- walkable” city) | Survey; street segment audits (objective) | Perceived and objective land use mix, proximity of recreational facilities, active transport infrastructure (e.g., sidewalks present), transit access, traffic safety, aesthetics, crime safety | Street segment audit information aggregated into 400m buffers around respondents’ residence |
|
Demos |
|
|
Hooker [35] | 1,165 adults in 21 census tracts in a rural South Carolina county | Survey | Perceived traffic, street light quality, unattended dogs, crime safety, public recreation facility safety | Individual respondents asked to consider neighborhood as within ½ mile or 10- minute walk from home | Walking (regular walking) or not walking at least 150 minutes per week | Demos | Regular walking likelihood was associated with greater perceived neighborhood safety; regular walking likelihood was lower in moderate traffic versus heavy traffic neighborhoods (both findings only present among White, not African-American, samples) | |
Khattak [40] | 310 adults from single- family high income households in two neighborhoods in North Carolina | Unclear | Neighborhoods differed on objective residential density, street connectivity, and commercial space (higher = neo- traditional neighborhood; lower = conventional neighborhood) | Neighborhood | Walk trips | Demos, self-select | Higher percentage of trips were walk trips in the neo- traditional (17.2%) versus conventional (7.3%) neighborhood | |
Krizek [41] | 1,653 adults in Minneapolis and St. Paul, MN | Employment records | Objective network proximity to nearest neighborhood retail establishments | Individual resident | Walk trips | Demos | Walk trips were more likely among households <200 meters from a retail establishment than households ≥ 600 meters away from one; finding diminished when controlling for demographic factors, but walk trips still more than twice as likely among retail proximal households | |
Lee [43] | 438 adults in Seattle, WA | Survey; parcel-level and street network GIS | Many objective variables, including network proximity to closest individual and “combination” of destinations, land use mix, residential density, pedestrian infrastructure, route directness and topography; perceived environmental variable included neighborhood type (residential versus mixed residential/commercial), aesthetics, and traffic | Individual resident (usually with 1km buffer); spatial sampling |
|
Demos, self-select |
|
|
Lee [42], Vernez Moudon [65] | 608 adults in King County, WA | Survey; parcel-level and street network GIS | 943 objective environmental variables, including network and airplane proximity to closest individual and “combinations” of destinations, destination counts and percentages, residential density, pedestrian infrastructure, route directness, traffic, and topography; perceived presence of destinations | Individual resident; spatial sampling to assess
|
Odds of sufficient (>150 mins) versus moderate (1–149 minutes) versus non- walkers | Demos | 243 objective environmental variables significant at bivariate level; After controlling for demographic and perceived environment factors, more walking related to:
|
|
Li [46] | 577 adults 65+ years old in 56 neighborhoods in Portland, OR | Survey; existing geographical databases from regional land information system | Objective number of residential households, places of employment, street intersections; total green and open spaces for recreation (area); perceived proximity to local recreational facilities, walking and traffic safety, and number of nearby recreational facilities | Neighborhood; multi-level analysis examining effects at the level of:
|
Likert rating of frequency of walking activity in neighborhood | None |
|
|
Li [45] | 303 adults 65+ years old in 28 neighborhoods in Portland, OR | Survey | Perceived recreation facility availability and safety | Individual respondent aggregated to neighborhood level | Likert rating of frequency of walking and related physical activity in neighborhood measured 4 times over 1 year | Demos; Psych-PA | Greater recreation availability and safety were related to lesser declines in neighborhood-level walking | |
Plaut [55] | About 41,000 working adults in the 2001 American Housing Survey | Survey | Perceived location within metropolitan statistical area (MSA), living near green space, living near commercial properties | Individual respondent | Walk versus car commuting to work | Demos | Walking to work more likely if living within central city of MSA (among renters only) and less likely in secondary urban and rural areas of MSA; walking to work more likely if commercial properties nearby | |
Reed [56] | 1,148 adults in 21 census tracts in Sumter County, SC | Survey | Perceived sidewalk presence | Neighborhood defined as ½ mile radius or 10 min drive from home | Regular (≥150 mins), irregular (1–149 mins), or no walking per week | Demos | Irregular walkers more likely to report presence of sidewalks than non-walkers; finding not significant in separate models based on race | |
Rutt [57] | 452 adults in El Paso, TX | Aerial photography, Census, local and commercial databases, and yellow pages | Objective sidewalk | ¼ mile (sidewalks) and 2.5 mile (PA facilities) radius of respondent’s home; shortest network distance | Walking for exercise in the past month:
|
Demos; Psych-PA |
|
|
Spence [61] | 3,144 Canadians who visited the Canada on the Move website | Survey | Perceived land use mix, sidewalk presence, crime safety, recreation availability, aesthetics, street connectivity | Individual respondent | Sufficient walking in the past week (5 or more days of at least 30 minutes of walking per day) | Demos | Sufficient walking more likely among individuals reporting greater neighborhood aesthetics and land use mix, especially among women | |
Suminski [62] | 474 adults in a large midwestern U.S. metropolitan area | Interview | Perceived route functionality (e.g., sidewalk condition), traffic and crime safety, aesthetics, and destinations (e.g., shops) to walk to in neighborhood | Individual respondent | In the past 7 days, within-neighborhood
|
Demos |
|
|
Van Lenthe [64] | 8,767 adults in 78 neighborhoods in Eindhoven, Netherlands | Local professionalperceptions of neighborhood characteristics | Perceived (by professionals) attractiveness, green space quality, traffic noise, proximity to food shops, crime safety | Neighborhood | < (‘almost never walking’) or >15 mins per day walking or cycling to shops or work | Demos | Greater walking likelihood associated with less traffic noise (for adults ≤49 years old) and greater proximity to food shops (for adults >49 years old and particularly in lower socioeconomic neighborhoods) | |
Zlot [66] | Adults from 34 MSAs present in the U.S. 1996 and 1998 BRFSS and 1995 NPTS | Trust for Public Land data | Parkland acreage as a percentage of city area | City |
|
None |
|
Note. The walking metric for each study is specified to reflect how the investigators used the walking outcome in analyses; where applicable, the enumerated different walking metrics are linked to their corresponding number in the results.