Walkability of local communities: using geographic information systems to objectively assess relevant environmental attributes.

By E. Leslie, N. Coffee, L. Frank, N. Owen, Adrian Bauman, Graeme Hugo. Health and Place, 2007

727 citations recorded by the source corpus.

Geographic Information Systems (GIS) can be used to objectively measure features of the built environment that may influence adults' physical activity, which is an important determinant of chronic disease. We describe how a previously developed index of walkability was operationalised in an Australian context, using available spatial data. The index was used to generate a stratified sampling frame for the selection of households from 32 communities for the PLACE (Physical Activity in Localities and Community Environments) study. GIS data have the potential to be used to construct measures of environmental attributes and to develop indices of walkability for cities, regions or local communities.

Subfields: Public Health, Environmental and Occupational Health, Safety, Risk, Reliability and Quality, Transportation

View Paper: https://www.semanticscholar.org/paper/b545c123a7e0f40b556170532891ad1d03cbe25b

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In Public Health, Environmental and Occupational Health

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Citations in the corpus

A Conceptual Typology of Multitasking Behavior and Polychronicity Preferences (2012, background): “…“entropy” (disorder, uncertainy) may offer a useful means for quantifying and classifying activity patterns (see Yeung, 2002 for an introduction, and Leslie et al., 2007 for a spatial application; and although the authors did not employ this concept, entropy could also be used to characterize the…”
Neighborhood Built Environment and Income: Examining Multiple Health Outcomes (2009, unknown): “, 2008; Frank, Kerr, & Sallis, 2007; Frank, Saelens, Powell, & Chapman, 2007), including studies in Australia (Cerin, Leslie, DuToit, Owen, & Frank, 2007; Leslie et al., 2007; Owen et al., 2007) and studies of youth (Kerr et al.”
Sense of Community and Its Association With the Neighborhood Built Environment (2014, methodology): “Land use mix was calculated using a formula similar to the entropy formula created by Frank et al. (2005; Leslie et al., 2007) based on relative proportions of “residential,” retail,” “office,” “health, welfare, and community,” and “entertainment, culture, and recreation” land use classes within…”