All Transport
Reporting Mobility Data: Good Governance Principles and Practices
Corporate Partnership Board Report, Policy Insights,
9 March 2022
- Embed individual privacy rights at the heart of data-reporting policies.
- Adopt coherent data-governance frameworks.
- Establish, document and communicate the basis for public authority data-reporting mandates.
- Align data-reporting mandates to targeted outcomes.
- Create and adhere to clear personal data processing, retention and destruction policies.
- Explore ways to ensure that data reporting preserves privacy and protects commercial interests by default.
The Global EV Outlook 2019: Life-cycle Analysis. Marine Gorner, International Energy Agency (IEA)
Presentation, slides, speech,
30 September 2019
Emerging Mobility Solutions and their Impact on Practices.Marion Lagadic, 6t Consultancy, France
Presentation, slides, speech,
30 September 2019
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.