Walking and Cycling
14 December 2021
- Develop a competitive market for the sharing and monetising of traffic and mobility data.
- Do not wait for real-time data before developing risk maps.
- Mandate the sharing of aggregate vehicle data.
- Learn from other fields and best practice for data sharing and privacy protection.
- Support research and innovation towards trusted and explainable AI.
- Align new tools with precise policy objectives.
- Develop new skills and digital infrastructure.
- Clarify regulatory frameworks for data protection and digital security.
- Design user-friendly risk-mapping tools.
5 September 2021
- Base regulation on sustainable urban mobility policy objectives.
- Consult micromobility companies on public policy issues early and often to avoid distorting regulations.
- Apply outcome-based regulations linked to specific performance criteria.
- Ensure limits on market access allow competition; avoid static caps on shared micromobility vehicle fleets.
- Limit data-reporting requirements to information used for mobility planning.
- Set regulatory fees in light of the potential value of micromobility for sustainable mobility and the uncertain viability of business models.
- Support equitable and affordable micromobility services.
- Follow the principle of mode-neutrality when developping an urban transport system.
- Reallocate road and parking space to micromobility users, cyclists and pedestrians.
- Address motor vehicle speeds when regulating micromobility speed.
- Apply coherent regulation that treats micromobility operators equally.
- Adopt a permissive and adaptive regulatory approach to micromobility.
11 August 2021
- Collect data only for defined purposes and only the minimum required.
- Develop guidelines for the use of big data in transport models.
- Enable the collection of location data through smartphone apps.
- Protect privacy through multiple solutions.
- Define a roadmap for household travel surveys.
- Design and test smartphone-assisted household travel surveys.
- Leverage artificial intelligence for data mining.
- Create and promote a recognised data steward function in the public and private sectors.
- Invest in the data-related training of the public-sector workforce.