Research focus
What we investigate
Cities generate more mobility data than ever, but volume alone does not create understanding. MUSA develops analytical approaches that turn complex datasets into evidence about how urban systems behave.
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Analytics & Insights
Using mobility and urban data to reveal patterns, evaluate interventions and support better decisions.
Methods & capabilities
Mobility data analyticsTrip, network, location and operational datasets.
Machine learningPredictive and explanatory methods for urban systems.
Spatial analysisUnderstanding geographic variation and accessibility.
Impact evaluationMeasuring what changes after an intervention.
Related work
Projects using this capability.
Urban digital twins
CORESpaces
Co-creating responsive, inclusive and sustainable urban spaces through advanced digital tools and citizen engagement.
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Transport operations
SYNCHROMODE
Synchronising multimodal transport and land-use models for better network decisions.
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Connected mobility
MOVE2CCAM
Supporting the move towards connected, cooperative and automated mobility through large-scale evidence.
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