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Beyond the Walkability Composite: Destination Access, Perceived Street Conditions, and Transport Walking in Four Thai Secondary Cities

IMPACT SIGNAL74/100
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Information from the abstract

Walkability measures often combine destination access and street conditions, although the components may not relate to walking in the same way. We examined item-level, group-level, and composite associations with transport walking in four highly motorised Thai secondary cities. A cross-sectional household survey included 1659 adults (1627 complete cases; models adjusted for sociodemographics, household vehicle ownership, and city). Regular transport walking was reported by 63.8%. After mutual adjustment and false-discovery-rate correction, only shorter self-reported walking time to a fresh market (odds ratio (OR) 1.31 per band closer, 95% confidence interval (CI) 1.19–1.44) and to a school (OR 1.29, 95% CI 1.17–1.42) remained associated; model-adjusted predicted prevalence fell from 71.9% to 49.6% across the market bands. The nine street-condition items showed no joint association (p = 0.947); that item group had low internal consistency (α = 0.60) and was unvalidated, so this is not evidence that pedestrian infrastructure is unimportant. The composite association was concentrated in the two destination items: a 17-item composite (OR 1.20 per standard deviation) fell to 1.07 with them excluded (bootstrapped difference p < 0.001). Improving walking routes to existing everyday destinations is the implication these data support. These cross-sectional associations are not causal effects.

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Why this record is monitored

This record has an Impact Signal of 74/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.

Related topics: Urban Transport and Accessibility · Urban Green Space and Health · Transportation Planning and Optimization

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Thai researcher and institutional participation

Sigit Dwiananto Arifwidodo · Orana Chandrasiri · Onpreeya Mongkol · Kasetsart University

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Data limitations

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