ArticleHealth & place2020
Residential neighborhood features associated with objectively measured walking near home: Revisiting walkability using the Automatic Context Measurement Tool (ACMT).
Article in Health & place, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Neighborhood Physical Disinvestment and Incident Diabetes between visits 1 and 2 of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).Journal of urban health : bulletin of the New York Academy of Medicine · 2026Article
- Where Do Older Pedestrians Experience a Risk of Being Killed in a Motor Vehicle Crash?Journal of the American Geriatrics Society · 2026Article
- Comparing Community-Level Social Determinants of Health With Patient Race in Total Hip Arthroplasty Outcomes.Arthritis care & research · 2025Article
- Article
- The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study.JMIR formative research · 2024Article
- Residential Density Is Associated With BMI Trajectories in Children and Adolescents: Findings From the Moving to Health Study.AJPM focus · 2024Article
- Neighborhood built and food environment in relation to glycemic control in people with type 2 diabetes in the moving to health study.Health & place · 2024Article
- Gender differences in the effects of urban environment on nighttime exercise behaviours: a qualitative study.Frontiers in psychology · 2024Article
- Mediating role of walking between perceived and objective walkability and cognitive function in older adults.Health & place · 2023Article
- Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III.SSM - population health · 2022Article
- Machine Learning Approaches for Measuring Neighborhood Environments in Epidemiologic Studies.Current epidemiology reports · 2022Review
- Exploring the spatial scale effects of built environments on transport walking: Multi-Ethnic Study of Atherosclerosis.Health & place · 2022Article
- Differential associations of the built environment on weight gain by sex and race/ethnicity but not age.International journal of obesity (2005) · 2021Article
- Walkability measures to predict the likelihood of walking in a place: A classification and regression tree analysis.Health & place · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Many distinct characteristics of the social, natural, and built neighborhood environment have been included in walkability measures, and it is unclear which measures best describe the features of a place that support walking. We developed the Automatic Context Measurement Tool, which measures neighborhood environment characteristics from public data for any point location in the United States. We explored these characteristics in home neighborhood environments in relation to walking identified from integrated GPS, accelerometer, and travel log data from 681 residents of King Country, WA. Of 146 neighborhood characteristics, 92 (63%) were associated with walking bout counts after adjustment for individual characteristics and correction for false discovery. The strongest built environment predictor of walking bout count was housing unit count. Models using data-driven and a priori defined walkability measures exhibited similar fit statistics. Walkability measures consisting of different neighborhood characteristic measurements may capture the same underlying variation in neighborhood conditions.
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