The influence of the built environment on outcomes from a “walking school bus study”: a cross-sectional analysis using geographical information systems
Abstract
Active commuting to school increases children’s daily physical activity. The built environment is associated with children’s physical activity levels in cross-sectional studies. This study examined the role of the built environment on the out- comes of a “walking school bus” study. Geographical information systems was used to map out and compare the built envi- ronments around schools participating in a pilot walking school bus randomised controlled trial, as well as along school routes. Multi-level modelling was used to determine the built environment attributes associated with the outcomes of active commuting to school and accelerometer-determined moderate-to-vigorous physical activity (MPVA). There were no differ- ences in the surrounding built environments of control (n = 4) and intervention (n = 4) schools participating in the walking school bus study. Among school walking routes, park space was inversely associated with active commuting to school (β = -0.008, SE = 0.004, P = 0.03), while mixed-land use was positively associated with daily MPVA (β = 60.0, SE = 24.3, P = 0.02). There was effect modification such that high traffic volume and high street connectivity were associated with greater moderate-to-vigorous physical activity. The results of this study suggest that the built environment may play a role in active school commuting outcomes and daily physical activity.Downloads
Download data is not yet available.

Published
2014-11-01
Keywords:
built environment, children, geographical information systems, active commuting, physical activity, United States of America.
Statistics
- Abstract views: 1261
- PDF: 701
How to Cite
Oreskovic, N. M., Blossom, J., Robinson, A. I., Chen, M. L., Uscanga, D. K., & Mendoza, J. A. (2014). The influence of the built environment on outcomes from a “walking school bus study”: a cross-sectional analysis using geographical information systems. Geospatial Health, 9(1), 37-44. https://doi.org/10.4081/gh.2014.4
Copyright (c) 2014 Nicolas M. Oreskovic, Jeff Blossom, Alyssa I. Robinson, Minghua L. Chen, Doris K. Uscanga, Jason A. Mendoza

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.