SynthesisInternational journal of health geographics2025
Associations between the built environment and jogging behaviour based on voluntarily contributed tracking data: a systematic review and meta-analysis.
Synthesis in International journal of health geographics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- How urban environments structure running behaviour in Beijing during winter, spring, and summer 2024: spatiotemporal patterns and configuration-specific interactions from running trajectory data.Archives of public health = Archives belges de sante publique · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundRunning is a widely promoted form of physical activity with significant public health benefits, yet the built environment influences its engagement. Existing evidence on the associations between the built environment and running behaviour remains heterogeneous, with prior reviews not quantifying the overall effect sizes. Additionally, gaps persist in understanding how emerging geospatial data, such as volunteered geographic information (VGI), can enhance insights into runnability.
aimTo provide (1) a comprehensive synthesis of the literature and meta-analysis of the evidence for the effects of the built environment on jogging behaviour, and (2) to identify methodological limitations and future research priorities for promoting running-inclusive cities.
methodsThree databases (the Web of Science Core Collection (WoS), Scopus, and PubMed) were systematically searched for English-language studies published up to December 31, 2024. Meta-analysis was conducted to obtain pooled elasticity values for the environmental factors.
resultsOf the 1,884 studies identified, 39 studies fulfilled the inclusion criteria, and 14 studies were suitable for meta-analysis leveraging VGI-derived physical activity data. Meta-analysis revealed that floor area ratio had the largest effect size, followed by land use mix and blue space density. Distance to parks and public transport density showed minor effects. Natural environment features (e.g., blue space density and green view index) consistently correlated positively with running activity, while terrain slope exhibited context-dependent relationships. Critical methodological limitations included insufficient spatiotemporal analysis, overreliance on single-platform VGI data, and inconsistent geographic units.
conclusionsTo advance runnability research, future studies should adopt dynamic spatiotemporal modelling, integrate multi-platform VGI with participatory GIS, and employ equity-focused metrics and demographic-stratified analyses. These strategies will inform evidence-based urban planning to create running-inclusive environments, ultimately supporting population health through targeted built environment interventions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.