1 October 2019
- Update the value of reductions in travel time periodically to reflect changes in preferences and travel patterns.
- Account for the quality of travel conditions.
- Employ stated preference surveys supported by other evidence for determining the value of reductions in travel time.
- Investigate how the use of Big Data can improve understanding of travel behaviour.
- Continue to use cost-benefit analysis in transport decision making.
- Strengthen the link between modelling, appraisal, monitoring and evaluation.
19 May 2019
- Use the new urban accessibility framework to compare and benchmark cities.
- Improve accessibility by reducing trip lengths and enhancing transport performance.
- Learn from similar cities with higher accessibility scores.
- Collect more and better urban mobility data, notably on walking and cycling.