Mobility as an urban system.

MUSA-Lab connects how people make travel choices, how transport networks operate, and how data and emerging technologies can support better decisions.

Research questions

Questions we are trying to answer.

01

How will emerging mobility technologies change travel behaviour?

02

How can transport systems respond dynamically to disruption and demand?

03

How can AI and data improve decisions without losing sight of people and equity?

04

How should cities evaluate new mobility services before large-scale deployment?

Methods & capabilities

How we investigate mobility systems.

Transport modelling

Demand models, network models, simulation and scenario testing.

Behavioural research

Choice modelling, stated preference, surveys, attitudes and adoption.

Machine learning & analytics

Prediction, classification and analysis of large mobility datasets.

Urban systems analysis

Accessibility, spatial analysis, sustainability and interactions across systems.

Experimentation & evaluation

Pilots, impact assessment, before/after studies and real-world evidence.

Digital twins & decision support

Integrated models and tools connecting analysis to operational decisions.

Research in practice

From ambitious programmes to focused applied work.

Our portfolio combines major collaborative research with commissioned studies, evaluation and specialist advisory work for public and private organisations.

Selected outputs

Recent research.

Browse all publications →

People

People behind the research.

Research spans transport modelling, behavioural science, urban analytics and emerging mobility systems.

Meet the whole team →

Work with MUSA-Lab

Research partnerships and commissioned work.

We collaborate with universities, public authorities, transport operators, technology companies and policymakers on research and applied transport challenges.