A pan-Canadian measure of active living environments using open data.


Journal

Health reports
ISSN: 1209-1367
Titre abrégé: Health Rep
Pays: Canada
ID NLM: 9012854

Informations de publication

Date de publication:
15 May 2019
Historique:
entrez: 16 5 2019
pubmed: 16 5 2019
medline: 31 10 2019
Statut: ppublish

Résumé

Neighbourhood environments that support active living, such as walking or cycling for transportation, may decrease the burden of chronic conditions related to sedentary behaviour. Many measures exist to summarize features of communities that support active living, but few are pan-Canadian and none use open data sources that can be widely shared. This study reports the development and validation of a novel set of indicators of active living environments using open data that can be linked to national health surveys and can be used by local, regional or national governments for public health surveillance. A Geographic Information System (GIS) was used to calculate a variety of measures of the connectivity, density and proximity to destinations for 56,589 dissemination areas (DAs) across Canada (2016 data). Pearson correlation coefficients were calculated to assess the association between each measure and the rates of walking to work and taking active transportation to work (a combination of walking, cycling and using public transportation) from census data. The active living environment measures selected for the final database were used to classify the DAs by the favourability of their active living environment into groups by k-medians clustering. All measures were correlated with walking-to-work and active-transportation-to-work rates at the DA level, whether they were derived using proprietary or open data sources. Coverage of open data was consistent across Canadian regions. Three measures were selected for the Canadian Active Living Environments (Can-ALE) dataset based on the correlation analysis, but also on the principles of suitability for a variety of community sizes and openly available data: (1) three-way intersection density of roads and footpaths derived from OpenStreetMap (OSM), (2) weighted dwelling density derived from Statistics Canada dwelling counts and (3) points of interest derived from OSM. A measure of access to public transportation was added for the subset of DAs in larger urban areas and was strongly related to active-transportation-to-work rates. Active-transportation-to-work rates were graded, in steps, by the five Can-ALE groups derived from the cluster analysis, although walking-to-work rates exceeded the national average only in the most favourable active living environments. Open data may be used to derive measures that characterize the active living environments of Canadian communities.

Sections du résumé

BACKGROUND BACKGROUND
Neighbourhood environments that support active living, such as walking or cycling for transportation, may decrease the burden of chronic conditions related to sedentary behaviour. Many measures exist to summarize features of communities that support active living, but few are pan-Canadian and none use open data sources that can be widely shared. This study reports the development and validation of a novel set of indicators of active living environments using open data that can be linked to national health surveys and can be used by local, regional or national governments for public health surveillance.
DATA AND METHODS METHODS
A Geographic Information System (GIS) was used to calculate a variety of measures of the connectivity, density and proximity to destinations for 56,589 dissemination areas (DAs) across Canada (2016 data). Pearson correlation coefficients were calculated to assess the association between each measure and the rates of walking to work and taking active transportation to work (a combination of walking, cycling and using public transportation) from census data. The active living environment measures selected for the final database were used to classify the DAs by the favourability of their active living environment into groups by k-medians clustering.
RESULTS RESULTS
All measures were correlated with walking-to-work and active-transportation-to-work rates at the DA level, whether they were derived using proprietary or open data sources. Coverage of open data was consistent across Canadian regions. Three measures were selected for the Canadian Active Living Environments (Can-ALE) dataset based on the correlation analysis, but also on the principles of suitability for a variety of community sizes and openly available data: (1) three-way intersection density of roads and footpaths derived from OpenStreetMap (OSM), (2) weighted dwelling density derived from Statistics Canada dwelling counts and (3) points of interest derived from OSM. A measure of access to public transportation was added for the subset of DAs in larger urban areas and was strongly related to active-transportation-to-work rates. Active-transportation-to-work rates were graded, in steps, by the five Can-ALE groups derived from the cluster analysis, although walking-to-work rates exceeded the national average only in the most favourable active living environments.
DISCUSSION CONCLUSIONS
Open data may be used to derive measures that characterize the active living environments of Canadian communities.

Identifiants

pubmed: 31091332
pii: 82-003-X201900500002
doi: 10.25318/82-003-x201900500002-eng
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

16-25

Auteurs

Thomas Hermann (T)

Department of Geography, McGill University, Montreal, Quebec.

William Gleckner (W)

Department of Geography, McGill University, Montreal, Quebec.

Rania A Wasfi (RA)

Department of Geography, McGill University, Département de médecine sociale et préventive at the Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM) and the École de santé publique at the Université de Montréal (ESPUM).

Benoît Thierry (B)

Département de médecine sociale et préventive at the Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM) and the École de santé publique at the Université de Montréal (ESPUM).

Yan Kestens (Y)

Département de médecine sociale et préventive at the Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM) and the École de santé publique at the Université de Montréal (ESPUM).

Nancy A Ross (NA)

Department of Geography, McGill University, Montreal, Quebec.

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Classifications MeSH