Use targeted fees and subsidies to steer demand, improve distribution, and support public transport links. Apply levers by place, time, and emission—and adjust quickly based on results.
PTAs can steer behaviour by making sustainable choices convenient and rewarding. Apply targeted subsidies and fees (optional module) to encourage low-emission trips, align supply with demand by time and place, and strengthen links to public transport. Multi-level access ensures regional views for PTAs and local views for cities. Impact is measured continuously so policies can be tuned as conditions change.
Features
Targeted subsidies and fees
Apply incentives and fees by vehicle type, location, time, and emission profile to steer behaviour. Encourage cleaner trips and right-time availability while ensuring spending delivers measurable impact.
Interaction with public transport
Strengthen first-/last-mile connections at hubs and along corridors. Align parking, availability, and incentives so shared modes complement services. Multi-level access supports city and regional PTA views.
Better distribution
Guide vehicles to where they add value using data and simple incentives. Improve coverage in underserved areas, reduce clutter in hotspots, and align supply with demand throughout the day.
Parking area and mobility hub monitoring and planning
Monitor occupancy and turnover to right-size hubs and allocate space fairly. Compare by location and time, test scenarios, and plan investments that improve reliability and passenger experience.
Analytic zones with vehicle rotation view
Understand rotation and idle times inside any zone to reveal where vehicles sit too long or turn over efficiently. Minor policy changes can unlock better access and service coverage.
Trip data by vehicle and time
Explore utilisation by vehicle and time band to spot gaps and peaks. Identify underserved periods, align incentives, and verify whether rebalancing and caps are working as intended—GDPR-compliant.
Trip data start/stop
See where trips begin and end across the day and week to reveal O/D patterns and peaks. Use these insights to shape zones, size hubs, and target incentives for first-/last-mile connections — GDPR-compliant.