Road
Policies to Extend the Life of Road Assets
Research Report, Policy Insights,
20 December 2018
- Introduce a proactive approach for the maintenance of road assets.
- Build a proactive, data-driven approach to the maintenance of road assets.
- Strive for continuous professionalisation in road asset management.
- Move from managing the assets to cross-asset management.
- Adopt regulatory frameworks that treat the use of road assets as an economic input.
- Implement infrastructure pricing for trucks to improve cost recovery.
- Better understand the reasons for non-compliance with truck weight limits.
- Focus on positive incentives for efficiency in regulatory and compliance frameworks.
- Develop use cases and business models for the digital infrastructure of truck traffic management.
- Create incentives for the logistics sector to implement truck traffic management.
- Improve awareness of the mutual impact that policies have on the environmental performance of road freight transport and extending the lifespan of road assets.
- Focus on creating a comprehensive regulatory environment rather than on individual measures.
Managing the Transition to Driverless Road Freight Transport
Case-Specific Policy Analysis, Policy Insights,
30 May 2017
- Continue driverless truck pilot projects to test vehicles, network technology and communications protocols.
- Set international standards, road rules and vehicle regulations for self-driving trucks.
- Establish a temporary transition advisory board for the trucking industry.
- Consider a temporary permit system to manage the speed of adoption and to support a just transition for displaced drivers, while ensuring fair access to markets.
Data-led Governance of Road Freight Transport
Corporate Partnership Board Report, Policy Insights,
30 May 2017
- Use currently available data within existing frameworks.
- Consider a completely new data-driven regulatory approach.
- Develop cross-sectoral approaches to data handling and processing.
- Investigate the best uses of new technologies, systems, and data science.
- Investigate applicability of wider and less structured big data sets.
- Consider impacts of automation of road freight vehicles.