All Transport
Data-Driven Transport Policy
Corporate Partnership Board Report, Policy Insights,
9 May 2016
- Data is being collected in ways that support new business models in transport but challenge existing regulation.
- Transport data is shifting to the private sector and away from the public sector.
- The shift of data ownership from the public to the private sector may ultimately imply a shift in control.
- Transport authorities should account for biases in the data they use and encourage use of adequate metadata.
- Mandatory private-public data sharing should be limited. Only where clear benefits to all parties exist and public authorities have capacity to handle the data should they be considered.
- Data sharing does not necessarily mean sharing raw data.
- Whatever data is collected and whoever holds it, dats should be an integral part of more flexible regulation of emerging transport services.
Integrated Transport Development Experience in Global City Clusters Roundtable
Project,
30 June - 2 July 2015
Urban Mobility System Upgrade
Corporate Partnership Board Report, Policy Insights,
31 March 2015
- Self-driving vehicles could change public transport as we currently know it.
- The potential impact of self-driving shared fleets on urban mobility is significant. It will be shaped by policy choices and deployment options.
- Active management is needed to lock in the benefits of freed space.
- Improvements in road safety are almost certain. Environmental benefits will depend on vehicle technology.
- New vehicle types and business models will be required.
- Public transport, taxi operations and urban transport governance will have to adapt.
- Mixing fleets of shared self-driving vehicles and privately-owned cars will not deliver the same benefits as a full TaxiBot/AutoVot fleet - but it still remains attractive.