Table 2.

Distributional characteristics of school-based measures of the Can-ALE index and NDVI for active and non-active school commuters among participants of the 2016/17 OSDUHS (n = 11,006)

Mode of transportation to schoolf	n	NDVIa		Intersection densityb		Dwelling densityc		Points of interestd		Can-ALE indexe
		Median	Standard deviation	Median	Standard deviation	Median	Standard deviation	Median	Standard deviation	Median	Standard deviation
Active commuteg	2323	0.41	0.08	57.3	37.4	926.6	637.6	39.0	51.8	0.19	1.45
Non-active commuteh	8683	0.42	0.07	43.2	42.7	730.5	680.0	34.0	62.1	− 0.38	1.70

^aBased on a 500 m buffer from the school location

^bIntersection density—number of ≥ 3-way intersections per square kilometre in the buffer around a dissemination area centroid

^cDwelling density—number of dwellings per square kilometre in the buffer around a dissemination area centroid

^dPoints of interest—number of points of interest in the buffer around dissemination area centroid

^eCan-ALE index—sum of the z scores of intersection density, dwelling density, and points of interest for 2016

^fKruskal-Wallis tests between active and non-active commute were statistically significant at a 5% level for school-based measures of the Can-ALE index, its components, and NDVI

^gActive commuters are those who responded that they either walk (n = 2213) or bike (n = 110) to school

^hNon-active commuters are those who took public transit (n = 662), school bus (n = 4133), or travelled in a car (as passenger (n = 3358), as driver (n = 530))