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• What we're doing wrong with our existing models when supporting an agenda that needs to look at zero carbon
• Modelling low emission zones –adjusting existing tools to answer specific questions
• Understanding behaviour change and reflecting this in models: valuing different alternatives in the future
• Optimisation models for climate impact, rather than travel time and other monetary benefits
• Modelling vehicle choice rather than car ownership
• Loosening restrictions on modelling – pushing WebTAG boundaries
• COVID responses – decision support that did not include models
• Pop-up cycle scheme modelling – examples of successes and failures
• LTNs – can and should they be modelled?
• Using artificial and human intelligence
• Learning from the pandemic: how to plan better in the future?
• Strategic modelling vs modelling strategies. Modelling strategic questions rather than using strategic models
• Using simpler models in the strategic context and early enough
• Scenario modelling to support the strategic case
• Successful model applications accounting for the Green Book Review
• Successful modelling of ALKs
• Modelling the interaction with cars / vehicles / pedestrians / cycles /scooters
• Modelling system impacts of CAVs
• Modelling MaaS – successful implementation in strategic models
• Digital journeys – trip frequency or destination choice?
• Operational research and data science
• The road to Digital Twins – success stories
• Leapfrogging the Western strategic model approach – examples from India
• Modelling different road user behaviour in operational models
• The switch to cloud-based solutions for data analytics and modelling – examples of successful applications
• Open source tools
• Workshop: an opportunity for SMEs to promote new tools
• Is the time to collect data now?
• Using data to progress from weak signals to understanding emerging trends
• Data sources that help disaggregate COVID impacts on travel patterns, to feed future models
• Gender and diversity
• Education, training and skills
• Career development
• Using tools developed by people that are not hindered by our existing conceptual framework: their challenges
• COVID modelling / similar mathematical concepts / biological field / physical fields – lessons learnt
• How do we work with the energy sector? How do we work with automotive? How do we work with traffic engineers?
• Changes in logistics and distribution processes that affect urban transport
• Reflecting non-traditional freight transport modes
• Lessons from international practice
• The modelling impacts of the Williams-Shapps review, such as peak vs off-peak, reflecting ticketing better, the reduced importance of the commute.
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