Trento

The Municipality of Trento has made significant investments to promote active mobility, developing an extensive network of cycling paths, covered parking, and frame-locking racks. Despite this progress, citizens still face difficulties accessing clear, user-friendly information about cycling routes and facilities.  

Currently, the city’s Bicipolitana,  a map of existing cycle paths,  is available only in GIS format, making it hard for most users to access or interpret. This limits awareness and efficient use of the cycling network, discouraging potential cyclists.  

 In addition, several digital tools already exist but are disconnected from one another:  

• Digital cartography: this includes maps showing both existing and planned cycle paths, bike racks, bike boxes, and bike-sharing stations. 

• app with a map of city parking lots: an application that displays city parking lots (for both cars and bikes) with real-time occupancy information (indicating free and occupied spaces) to help users find available parking. 

These tools operate independently and are not integrated with major navigation systems (e.g. Google Maps), often causing confusion for those wishing to plan bike trips across the city.  

 As a result, valuable data and infrastructure remain underused. The city now seeks to improve accessibility and integration of existing cycling information, creating a more seamless and attractive digital experience that supports everyday cycling.  

Area: City center, suburbs, and the hillside. 

DESIRED SITUATION

The pilot aims to simplify access to Trento’s cycling information by connecting existing datasets and digital tools into a single, user-friendly interface. By testing an integrated digital solution, the city expects to improve citizens’ ability to plan cycling trips and use available infrastructure more effectively.

The pilot is expected to run for at least one month, allowing the city to collect data on usage, usability, and overall impact.

Success will be evaluated through both system analytics and user feedback.

Key performance indicators (KPIs):

• Number of users accessing and interacting with the platform
• Number of routes or trip plans generated
• Accuracy and completeness of integrated cycling data (routes, parking, sharing stations)
• User satisfaction and ease of navigation (survey-based)
• Recommendations for future integration or citywide deployment

Expected results include a clearer understanding of which datasets and digital connections add the most value for cyclists, and a tested prototype that can serve as the foundation for a permanent, citywide digital cycling service.