Identify areas needing better infrastructure to make cycling safer and grow its modal share. Collect and analyze 50+ performance metrics on cycling infrastructure quality, air quality, and more.
Created by
Area Metropolitana de Barcelona
City of Sarajevo
Step 1
Month 1
Step 1
Month 1
We scan your chosen areas using bike-mounted AI Computer Vision technology, recording everything from cycle lane width and road surface quality to air quality.
Step 2
Month 2
Step 1
Month 1
We scan your chosen areas using bike-mounted AI Computer Vision technology, recording everything from cycle lane width and road surface quality to air quality.
Step 3
Months 3-4
Step 3
Months 3-4
After gathering the data, we aggregate it and cross it with other data sources, such as shared mobility travel routes and connected car data. Then, we calculate 50+ metrics on the state of your cycling infrastructure with concrete recommendations on how to make improvements.
Step 4
Months 5-11
Step 4
Months 5-11
With your new metrics and recommendations, you will be able to prioritise infrastructure projects based on which ones are most urgent, or have the most potential to affect positive change. The data collected will help you lobby for the funding required to take action.
Step 5
Months 12-18
Step 5
Months 12-18
We repeat the steps above to give you a before and after view of the state of the infrastructure, to calculate the ROI of your infrastructure improvements. Your data is available to view in the City Dive dashboard at any time.
This project is supported by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union. EIT Urban Mobility acts to accelerate positive change on mobility to make urban spaces more liveable. Learn more: eiturbanmobility.eu