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.