rive land-use mix, street connectivity, and residential density. Participant perceptions were assessed using a self-administered questionnaire. Audit, GIS, and participant-reported indices of walkability were calculated. Spearman correlation coefficients were used to assess the relationships between measures. All analyses were conducted in 2012.
- The correlation between audit- and GIS-derived measures of overall walkability was high (R=0.7 [95% CI=0.6, 0.8]); the correlations between objective (audit and GIS-derived) and participant-reported measures were low (R=0.2 [95% CI=0.06, 0.3]; R=0.2 [95% CI=0.04, 0.3], respectively). For comparable audit and participant-reported items, correlations were higher for items that appeared more objective (e.g., sidewalk presence, R=0.4 [95% CI=0.3, 0.5], versus safety, R=0.1 [95% CI=0.003, 0.3]).
- The GIS-derived measure of walkability correlated well with the in-field audit, suggesting that it is reasonable to use GIS-derived measures in place of more labor-intensive audits. Interestingly, neither audit- nor GIS-derived measures correlated well with participants’ perceptions of walkability.
Hajna, Samantha, MSc, Kaberi Dasgupta, MD, MSc, FRCPC, Max Halparin, BA, Nancy A. Ross, PhD. (2012). Neighborhood Walkability: Field Validation of Geographic Information System Measures. American Journal of Preventive Medicine, 44(6), e51-e55. doi: 10.1016/j.amepre.2013.01.033
This report summarizes findings associated with the successful implementation of a Safe Routes to School program in an elementary school in metropolitan Atlanta, GA between 2008–2010.
Elements of the program that led to its success may inform future policy efforts related to active transport to school. This was a multilevel, multi-sector, intervention involving education, community capacity building, enablement and reinforcement through supportive environments and evaluation. Elements and results included:
- Safe Routes to School Task Force: Parent volunteers formed a Safe Routes to School Task Force comprising the