All Transport
Worthwhile Use of Travel Time and Applications in the United Kingdom
Discussion Paper,
23 March 2020
Summary Record of the 6th International Transport Statistics Meeting, 18-19 April 2019
Official Document,
5 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.
Calles Más Seguras: Benchmarking Mundial de Seguridad Vial Urbana
Research Report, Policy Insights,
12 March 2019
- Desarrollar observatorios de movilidad en las ciudades.
- Recolectar datos de accidentes de tráfico de los hospitales, no solo de los registros policiales.
- Adoptar objetivos ambiciosos para reducir el número de víctimas.
- Centrarse en la protección de los usuarios vulnerables de la vía pública.
- Utilizar indicadores apropiados para medir la seguridad de los usuarios vulnerables de la vía pública en las ciudades.
- Calcular la población que se desplaza de día para mejorar la comparabilidad de las estadísticas de seguridad vial.
- Dar prioridad a la investigación sobre accidentes de tráfico urbanos.
Regulation of For-Hire Passenger Transport: Portugal in International Comparison
Case-Specific Policy Analysis, Policy Insights,
9 June 2016
- Steer policy development towards mobility services that allow efficient achievement of public policy objectives regarding the needs of consumers and society.
- Encourage innovative and more flexible regulation of for-hire transport services.
- Embrace data-led regulation to improve societal outcomes.
- Keep the regulatory framework of for-hire passenger transport services as simple and uniform as possible.
App-Based Ride and Taxi Services: Principles for Regulation
Corporate Partnership Board Report, Policy Insights,
9 May 2016
- Focus policy regarding for-hire passenger transport on the needs of consumers and society.
- Keep the regulation framework of for-hire passenger transport services as simple and uniform as possible.
- Encourage innovative and more flexible regulation of for-hire transport services.
- Embrace data-led regulation to improve societal outcomes.
Shared Mobility: Innovation for Liveable Cities
Corporate Partnership Board Report, Policy Insights,
9 May 2016
- Shared mobility benefits depend on creating the right market conditions and operational frameworks.
- Shared mobility has significant environmental benefits, even with current engine technology.
- Shared mobility will radically change public transport and most traditional bus services will disappear.
- Public authorities must guide the deployment of shared mobility systems and anticipate their impacts.
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.
Travel Behaviour Response to Major Transport System Disruptions: Implications for Smarter Resilience Planning
Discussion Paper,
8 May 2016
Estimating Wider Economic Impacts in Transport Project Prioritisation using Ex-Post Analysis
Discussion Paper,
22 February 2016
Incorporating Wider Economic Impacts within Cost-Benefit Appraisal
Discussion Paper,
22 February 2016
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.