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Travel Behaviour & Mode Choice

Modelling how people actually choose to move — and how model specification changes the policy conclusions we draw.

From automated transportation-mode detection using smartphone sensing and machine learning, to long-term planning models of school-trip mode behaviour, this strand asks how travellers make decisions and how sensitive our policy assessments are to the way those decisions are modelled.

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Projects

Improving travel-time estimation for a national navigation platform using time-series analysis and optimization methods.

Institution
Neshan Map
Timeline
Aug 2023–Mar 2024

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Publications