Travel Demand Modelling
Activity-based and four-step models that forecast how, when, and why people move through cities.
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Six areas of work that keep traffic and ideas flowing.
Activity-based and four-step models that forecast how, when, and why people move through cities.
Network design, ridership analytics, and service reliability for buses, rail, and emerging modes.
Mapping accessibility, land use, and network performance to reveal where planning matters most.
Deep learning and choice models applied to mobility data, from mode choice to traffic prediction.
Crash analysis and proactive safety modelling to design streets that protect every road user.
Electrification, active transport, and policy tools that shrink the carbon footprint of travel.