Healthy living environments create healthy physical activity-related habits (ELEVATE): A protocol for a smartphone-based mixed-method study
Clinical Snapshot
PICO Framework
| P — Population | Approximately 200 adults residing in Amsterdam, The Netherlands |
| I — Intervention | Not applicable - this is a protocol for an observational study examining built and natural streetscape environments |
| C — Comparator | Different micro-scale streetscape features and environmental characteristics |
| O — Outcomes | Walking-related physical activity (WPA) measured via smartphone GPS and step counts over 7 days |
Bottom Line
ELEVATE represents an innovative protocol combining smartphone technology, artificial intelligence, and mixed-methods research to examine how micro-scale streetscape environments influence walking-related physical activity. While the methodology appears robust with objective GPS-based measurements and comprehensive environmental assessment using deep learning, this is only a protocol without actual results. The study addresses an important public health question about environmental determinants of physical activity, but several methodological concerns remain unclear including recruitment strategy, confounding control, and generalisability beyond Amsterdam's unique urban context. The short 7-day observation period may be insufficient to capture meaningful behavioural patterns or seasonal variations. For Australian clinicians, the findings may have limited direct applicability due to different built environments and transport cultures, though the technological approach could inform similar research in Australian urban settings. The study's emphasis on socioeconomic inequalities in physical activity is particularly relevant for population health strategies.
Key Findings
P Value: Not applicable - protocol study
Effect Size: Not applicable - protocol study
Primary Outcome: No results available - this is a study protocol
Nnt Or Sensitivity: Not applicable - protocol study
Confidence Interval: Not applicable - protocol study
Clinical Application
High feasibility given widespread smartphone adoption, though requires significant technological infrastructure and interdisciplinary collaboration Limited direct applicability to Australian settings due to different urban planning, climate, and transport patterns. However, methodology could be adapted for Australian cities with appropriate environmental modifications Urban-dwelling adults interested in physical activity promotion through environmental modification
Abstract
Physical inactivity remains a key risk factor for adverse public health outcomes, disproportionately burdening lower socioeconomic groups. While individual-level interventions may temporarily increase walking-related physical activity (WPA) for some, they rarely achieve population-wide benefits. In contrast, built and natural environments are better positioned to support sustained WPA at the population level. Despite the importance of the environment to WPA, state-of-the-art research has limitations: it often relies on cross-sectional self-reports, uses coarse, simplistic environmental indicators, and focuses narrowly on residential neighborhoods, overlooking the diverse streetscapes people encounter in daily mobility. Using a transdisciplinary approach, ELEVATE addresses these gaps by 1) assessing how adults perceive and experience the built and natural streetscape environment during their WPA, 2) longitudinally assessing the relationships between streetscape environments and WPA, and 3) developing an artificial intelligence-powered system to suggest place-based environmental interventions that promote WPA. ELEVATE will employ a mixed-methods study design grounded in participatory co-creation, on-site and walk-along interviews to capture the everyday practices and experiences of WPA. We will use deep learning to extract objective environmental features and perceived streetscape qualities from street view images. A sample of approximately 200 adults residing in Amsterdam, The Netherlands, will be recruited. To examine relationships between micro-scale streetscape features and WPA, we will collect seven days of intensive longitudinal data using smartphones, including global positioning system (GPS)-based mobility and step counts. We will use spatiotemporal clustering to identify where people are most and least physically active, and mixed models to assess associations between these environmental measures and step counts. Qualitative and quantitative results will be triangulated in co-created focus groups. Finally, to support evidence-based public health and urban planning interventions, we will develop an AI-powered recommender system that generates context-sensitive (re)design guidelines framing the built and natural environment as a modifiable determinant of WPA. This study will generate evidence on how micro-scale built and natural street environments encountered during daily mobility are associated with WPA in adults. The findings are expected to inform place-based public health strategies by identifying modifiable environmental characteristics associated with physical activity and socioeconomic inequalities in urban settings.
References
- 1.Helbich, M., Labib, S. M., Liedtke, I., Sent, D., Crombag, R., Ettema, D., Posthumus, H., van der Zee, S., Reiling, M., Ruinaard, S., van Mispelaar, A., Brombacher, A., Hoyng, J., Spierings, B., & Savenije, W. (2026). Healthy living environments create healthy physical activity-related habits (ELEVATE): A protocol for a smartphone-based mixed-method study. PLoS One. https://doi.org/10.1371/journal.pone.0348889
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