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Updated: May 21, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
Published on: February 8, 2019
The relationship between cluster-analysis derived walkability and local recreational and transportation walking among
Gavin R McCormack1, Christine Friedenreich, Beverly A Sandalack
1Department of Community Health Sciences, University of Calgary, Alberta, Canada. gmccorma@ucalgary.ca
Abstract:
We investigated the association between objectively-assessed neighborhood walkability and local walking among adults. Two independent random cross-sectional samples of Calgary (Canada) residents were recruited. Neighborhood-based walking, attitude towards walking, neighborhood self-selection, and socio-demographic characteristics were captured. Built environmental attributes underwent a two-staged cluster analysis which identified three neighborhood types (HW: high walkable; MW: medium walkable; LW: low walkable). Adjusting for all other characteristics, MW (OR 1.40, p < 0.05) and HW (OR 1.34, approached p < 0.05) neighborhood residents were more likely than LW neighborhood residents to participate in neighborhood-based transportation walking. HW neighborhood residents spent 30-min/wk more on neighborhood-based transportation walking than both LW and MW neighborhood residents. MW neighborhood residents spent 14-min/wk more on neighborhood-based recreational walking than LW neighborhood residents. Neighborhoods with a highly connected pedestrian network, large mix of businesses, high population density, high access to sidewalks and pathways, and many bus stops support local walking.
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