ELEVATE exemplifies transdisciplinary research by combining academic methods with lived experiences. ELEVATE’s innovation pathway comprises five integrated core WPs.

WP1 — Co-creation & stakeholder engagement
This work package focuses on participatory co-creation with residents, planners, public health experts, and stakeholders. Through workshops and focus groups, ELEVATE identifies the environmental qualities that support healthy and active living and ensures that research outcomes remain grounded in real-world needs and experiences.
Main activities:
- Stakeholder mapping
- Co-creation workshops
- Focus groups
- Citizen engagement
- User-centered evaluation
WP2 — Smartphone-based mobility & physical activity assessment
This work package collects high-resolution mobility and walking-related physical activity data using smartphones, GPS tracking, and accelerometry.
Main activities:
- GPS tracking
- Step-count assessment
- Survey data collection
- Mobility analysis
- Data quality and validation
WP3 — AI-based streetscape & environmental analysis
This work package develops detailed environmental indicators using street view imagery, GIS, and artificial intelligence methods.
Main activities:
- Street view image analysis
- Computer vision
- Deep learning
- Streetscape perception analysis
- Environmental exposure assessment
WP4 — Qualitative & mixed-methods research
This work package investigates how people experience and perceive urban environments in daily life.
Main activities:
- Walk-along interviews
- On-site qualitative inquiry
- Thematic analysis
- Integration of qualitative and quantitative findings
WP5 — Spatial modeling & data integration
This work package examines how environmental exposures are associated with walking-related physical activity patterns.
Main activities:
- Spatiotemporal clustering
- Statistical modeling
- Machine learning
- Equity analysis
- Exposure assessment
WP6 — AI recommender system for urban design
This work package develops an AI-powered recommender system that translates research findings into practical urban (re)design recommendations.
Main activities:
- AI model development
- Urban design recommendations
- Explainable AI
- Interactive web interface
- Stakeholder evaluation
WP7 — Dissemination, open science & impact
This work package ensures that findings, tools, and knowledge are translated into societal impact.
Main activities:
- Publications
- Policy translation
- Open science
- Public outreach
- Demonstration sessions
- Knowledge exchange