Eco-friendly route navigator
Real-time carbon footprint visualization. Travel mindfully by choosing clean routes.
Urban infrastructure analysis
Map analysis
Integration with 3 data sources: OpenStreetMap, city APIs (public transport), and bike paths from local communities. Identified "ecological corridors" — routes with minimal environmental impact.
Use cases
5 key scenarios created: "Morning Commute", "Family Stroll", "Low-CO2 Delivery", "Tourist Route", "Urgent Trip". Each includes priority analysis and decision points.
Complex data design
A carbon footprint visualization system has been developed: color gradients (red → green), iconography, progress bars with a clear metric of "grams CO2 per km". Information is visible at a glance, with details available on request.
Eco-friendly route map
  • Emerald glowing routes — ecological corridors running through the city
  • Red-orange zones — areas with high pollution levels
  • Gray buildings — of varying heights in isometric projection
Usage scenarios

  • Scenario #1

    Morning Commute

    User: Maria, 32, manager



    Goal: Get to work in 25 minutes with minimal carbon footprint



    Solution: Route "10 min walk → 12 min tram → 3 min walk" instead of taxi. Savings: 1.2 kg CO2 = 0.5 trees.

  • Scenario #2
    Family Stroll

    User: Dmitry with children aged 5 and 8


    Goal: A walk with stops near parks and away from noisy highways


    Solution: The "Child Safety" filter hides highways. Fountains, playgrounds, and shaded alleys have been added.

  • Scenario #3
    Urgent Delivery

    User: Delivery service courier



    Goal: Minimize time while maintaining eco-friendliness



    Solution: A compromise route with switching between bicycle and metro. Time trade-off (+7%) vs. ecology (-68% CO2).

Complex data visualization
How to make carbon footprint clear and motivating
Data visualization principles
  • Tree-planting metaphor instead of abstract CO2 grams
  • Color code: red (harmful) → orange (neutral) → green (beneficial)
  • Comparison with familiar objects: "Savings = 3 smartphone charges"
  • Personal contribution progress bar to the city's ecology
Usability testing results
Testing with 22 participants (12 novices, 10 experienced users). 3 iterations of improvements.
  • Success rate
    Find an eco-route in ≤45 sec
  • Comprehension
    Interpret the eco-footprint correctly
  • Retention
    Willing to use daily
  • Calmness
    Stress reduction on a scale
  • Simplification of filters
    Reduced from 9 to 4 key parameters. Presets added: "Maximum Eco", "Fast + Eco", "For Children".
  • Visual emphasis
    Relocation of CO2 savings information to the top of the screen. Added a "growing tree" animation when selecting an eco-route.
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