App Types Comparison | LWSWG
Introduction to Application Types
Digital technologies supporting walking take many forms, each with distinct purposes, methods, and user experiences. These applications range from systems that recommend personalised routes, to tools that track health outcomes, to platforms that encourage community engagement around walking.
Comparing application types highlights their different strengths and limitations, while also revealing opportunities for integration. Increasingly, modern walking systems combine elements from multiple categories to provide more holistic and user-centred experiences.
Core Application Types
Recommendation Systems
Recommendation systems suggest walking routes based on user preferences and contextual factors. These systems may optimise for scenic value, safety, or accessibility, and often leverage open geospatial data combined with algorithms. Example: Komoot, which recommends routes tailored to leisure activities and difficulty levels.
Activity Trackers
Activity trackers log user activity for health, fitness, or behavioural insights. They typically monitor steps, distance, speed, and calories burned, with visual feedback and progress metrics. Example: Fitbit, which integrates walking into broader health monitoring frameworks.
Route Planners
Route planners focus on generating optimal walking routes between two points. They often prioritise efficiency and navigational clarity, integrating features such as step-by-step directions, estimated time, and elevation profiles. Example: Google Maps walking directions, which emphasise practicality and navigation support.
Community Platforms
Community-based walking platforms emphasise social engagement, knowledge sharing, and collective experience. Users may share routes, post photos, and participate in group challenges. Example: OS Maps, which combines route sharing with user reviews and photographs to guide others.
Hybrid and Emerging Applications
Gamified Systems
Gamified applications incorporate rewards, challenges, and playful elements into walking. These can motivate walking through competition, exploration, or narrative design. Example: Pokémon GO, which combines augmented reality with location-based walking incentives.
Context-Aware Applications
Context-aware walking applications integrate real-time environmental data such as weather, air quality, or safety reports to adapt recommendations dynamically. Example: CityMapper, which adapts walking recommendations based on transit availability, disruptions, and user context.
Application Categories
- Recommendation: Komoot
- Activity Tracking: Fitbit
- Route Planning: Google Maps
- Community: AllTrails
- Gamified: Pokémon GO
- Context-Aware: CityMapper
Design Considerations
- Balance personalisation with interpretability
- Integrate health, social, and environmental dimensions
- Ensure usability across demographics and abilities
- Protect user privacy and location data
- Support interoperability across platforms