Walkability measures to predict the likelihood of walking in a place: A classification and regression tree analysis.

ABSTRACT: Walkability is a popular and ubiquitous term at the intersection of urban planning and public health. As the number of potential walkability measures grows in the literature, there is a need to compare their relative importance for specific research objectives. This study demonstrates a classification and regression tree (CART) model to compare five familiar measures of walkability from the literature for their relative ability to predict whether or not walking occurs in a dataset of objectively measured locations. When analyzed together, the measures had moderate-to-high accuracy (87.8% agreement: 65.6% of true walking GPS-measured points classified as walking and 93.4% of non-walking points as non-walking). On its own, the most well-known composite measure, Walk Score, performed only sli

SUBMITTER: Dalmat RR 

PROVIDER: S-EPMC8627829 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature