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Public transport
Understanding ridership recovery, service reliability, passenger safety perception, transit pass use, route choice, and policy responses to disruption. This area turns behavioural and operational evidence into practical ways to rebuild trust in public transport.
View related publications →Mobility transitions
Studying electric vehicle adoption, charging preferences, grid and mobility interactions, connected and automated vehicles, ride sourcing, micromobility, and Mobility as a Service within rapidly changing cities.
View related publications →People and choices
Explaining how attitudes, constraints, risk perceptions, work arrangements, and lived experience shape daily travel. Methods include stated preference experiments, discrete choice models, structural equation models, and hybrid choice models.
View related publications →Inclusive access
Measuring who can reach opportunities, who is left behind, and how affordability shapes mobility. Spatial econometrics and constrained choice models support transport policies that respond to unequal access and the realities of vulnerable groups.
View related publications →Digital testbeds
Building activity based and agent based models in MATSim and microscopic traffic models in VISSIM. These virtual laboratories test network operations, travel demand, emerging technologies, and complex policy scenarios before real world deployment.
View related publications →Infrastructure intelligence
Applying machine learning, deep learning, computer vision, and geospatial analytics to vehicle recognition, automated road geometry auditing, pedestrian risk assessment, active transport design, and data scarce transport systems.
View related publications →Smarter networks
Designing responsive operations for mixed traffic environments, including intermittent bus lanes, transit signal priority, dynamic passenger car equivalents, intersection control, and network planning tools.
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