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Transit Network Optimisation and Operational
This research focuses on the mathematical modelling and algorithmic optimisation of public transport networks. By developing network-aware scheduling and equilibrium assignment models, the work aims to mitigate bus overcrowding, improve limited-stop service designs, and enhance both operational efficiency and commuter comfort in highly congested urban environments.
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Spatial Modelling of Vehicular Emissions and Air Quality
This domain tackles urban environmental challenges through the precise spatial disaggregation of vehicular emissions. Utilising GIS and road density-based modelling, the research maps high-resolution pollution distribution across megacities. These insights empower city planners to design targeted mitigation strategies to improve urban air quality and public health.
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Commuter Behaviour, Mode Choice, and Service Quality Assessment
This research investigates the qualitative and quantitative factors influencing commuter mode choice and their perception of public transport. By analysing safety, security, and demand management interventions, these studies assess service attributes to help policymakers understand commuter behaviour and encourage mode shifts towards sustainable transit systems.