TSC Research within the Transport Strategy Centre is led by Director of Research, Professor Dan Graham. Our team of three Postdoctoral Research Associates and ten Research Postgraduates (PhD candidates) has a diverse profile in various fields of transport research, including quantitative as well as theoretical areas at the crossroad between applied economics, statistical modelling, econometrics, civil engineering and data science. The group’s main objective is to contribute to the scientific dialogue surrounding planning and policy problems in transport through publications in top-tier peer-reviewed journals and conference presentations.
Our core fields of research interest include causal inference analysis of various topics spanning between urban economics through accident research to the statistical assessment of transport policies using large-scale public transport datasets. We are a leading research group in the measurement of urban agglomeration economies and applications in investment appraisal and cost-benefit analysis. The group actively participates in the international community of transport economics, with both theoretical and empirical analyses, most importantly in topics related to pricing and capacity optimisation, cost modelling and benchmarking in public transport. In recent years we gained experience in the disaggregate statistical analysis of large-scale smart card and vehicle location datasets, focusing on the measurement of the user cost of crowding, passenger-to-train assignment, the decomposition of journey time components, and incident detection and prevention.
Our research group works in close collaboration with the applied research branch of the TSC and its international benchmarking groups. Research group members are involved in case studies and statistical analyses prepared as part of benchmarking cycles on a regular basis. Also, the research group contributes to the continuous revision and improvement of the statistical methodology behind the system of key performance indicators. Our group members are regular attendees of various meetings of the benchmarking groups facilitated by the TSC.
For further information please contact our Director of Research Professor Dan Graham.
Performance analytics and data centric engineering
Modern signalling and electronic fare payment systems of urban public transport networks collect millions of data records on a daily basis. Our aim is to bring state-of-the-art data science, statistical modelling and data mining closer to public transport operators. This research area covers the theory of transport benchmarking, cost and aggregate demand modelling, travel time and dwell time analyses, passenger-to-train assignment, and a variety subject areas with technical transport content.
Causal inference methods in transport research
Identifying causal effects is central for us as we try to isolate the sole impact of the transport intervention net of other effects. Researchers at the TSC make the best use of state-of-the-art econometric techniques to identify causality in transport dynamics.
Transport and spatial economics
With applied microeconomic theory we explain the core mechanisms behind travel demand and the efficiency of transport services. Our group has over two decades of experience in the empirical and theoretical analysis of the wider economic benefits of transport improvements, with a specific focus on the measurement of agglomeration externalities. In the same time, we use applied economic theory to investigate the trade-offs behind pricing, capacity provision and subsidies in public transport.
Resilience, risk and safety analyses
Accident prevention and the improvement of the resilience of urban transport systems are one of the key priorities of contemporary transport policy. We use advance statistical methods to detect and explain incidents using large-scale demand and supply side datasets. Our empirical analyses put passenger experience to the centre of the mitigation of accident and incident impacts.