All Transport
Governing Transport in the Algorithmic Age
Corporate Partnership Board Report, Policy Insights,
22 May 2019
- Make transport policy algorithm-ready and transport policy makers algorithmically-literate.
- Ensure that oversight and control of algorithms is proportional to impacts and risks.
- Build in algorithmic auditability by default into potentially impactful algorithms.
- Convert analogue regulations into machine-readable code for use by algorithmic systems.
- Use algorithmic systems to regulate more dynamically and efficiently.
- Compare the performance of algorithmic systems with that of human decision-making.
- Algorithmic assessment should go beyond transparency and explainability.
- Establish robust regulatory frameworks that ensure accountability for decisions taken by algorithms.
- Establish clear guidelines and regulatory action to assess the impact of algorithmic decision-making.
- Adapt how regulation is made to reflect the speed and uncertainty around algorithmic system deployment.
Quantifying Private and Foreign Investment in Transport Infrastructure
Discussion Paper, Policy Insights,
15 March 2019
- Improve the collection and dissemination of disaggregated data on the level and characteristics of private investments in transport infrastructure.
What is Private Investment in Transport Infrastructure and Why is it Difficult?
Discussion Paper, Policy Insights,
28 January 2019
- Distinguish between infrastructure and the operations that take place on it.
- To pursue private investment in infrastructure, choose between competition for the contract or the regulated model.
- Differentiate between attracting private investors in existing assets (privatisation) and in new infrastructure PPPs.
Adapting Transport Policy to Climate Change
Research Report, Policy Insights,
30 November 2015
- Uncertainty is different from risk.
- Climate effects are subject to uncertainty.
- There are techniques to deal with risk.
- There is currently no robust method to treat Knightian uncertainty.
- Risk, uncertainty and discount rate all affect carbon value.
Big Data and Transport
Corporate Partnership Board Report, Policy Insights,
30 April 2015
- Road safety improvements can be accelerated through the specification and harmonisation of a limited set of safety-related vehicle data elements.
- Transport authorities will need to audit the data they use in order to understand what it says (and what it does not say) and how it can best be used.
- More effective protection of location data will have to be designed upfront into technologies, algorithms and processes.
- New models of public-private partnership involving data-sharing may be necessary to leverage all the benefits of Big Data.
- Data visualisation will play an increasingly important role in policy dialogue.
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.