What we're looking for...

Key challenges of climate change modelling

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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

Successful applications of not modelling?

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• 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?

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Strategic v strategy?

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• 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

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Innovation

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• 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: opportunity for SMEs promoting new tools

Modelling emerging modes

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• 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?

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Data collection

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• 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

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Academia: how do we train / support the modellers of the future?

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• Gender and diversity

• Education, training and skills

• Career development

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Cross-industry session

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• 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?

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Freight models versus modelling freight

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• Changes in logistics and distribution processes that affect urban transport

• Reflecting non-traditional freight transport modes

• Lessons from international practice

Rail modelling

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• The modelling impacts of the Williams-Shapps review, such as peak vs off peak, reflecting ticketing better, the reduced importance of the commute.