Imperial College London

Professor Dan Graham

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Professor of Statistical Modelling



+44 (0)20 7594 6088d.j.graham Website




Mrs Maya Mistry +44 (0)20 7594 6100




611Skempton BuildingSouth Kensington Campus





Dan Graham is Professor of Statistical Modelling in the Department of Civil & Environmental Engineering, Director of the Statistical Modelling and Economics Research group, and joint Director of the Railway and Transport Strategy Centre within the Centre for Transport Studies at Imperial College London. He holds doctoral degrees from the Department of Mathematics at Imperial and from the London School of Economics. Dan has published over 90 papers in refereed journals and two books. His published research includes work on statistical modelling and causal inference with applications in transport and spatial statistics. He is currently engaged in projects on Bayesian inference for road traffic accident prediction, modelling the effects of transport interventions for ex-post evaluation, mixed model propensity score approaches for causal inference, and semiparametric double robust estimation for continuous treatment effects.

Dan's analyses of the impacts of accessibility on productivity provide the empirical basis for the assessment of wider economic impacts in transport appraisal internationally. He provides advice to Government departments around the World, including the UK Department for Transport and the Treasury, and was appointed Specialist Advisor to the UK Parliamentary Select Committee on Transport. He contributes to teaching on statistics, advanced transport modelling and transport demand & economics. He is a Project Partner of the Data Centric Engineering Programme at the Alan Turing Institute in London and a visiting Professor at South East University in Nanjing.

Selected Publications

Journal Articles

Graham DJ, McCoy EJ, Stephens DA, 2014, Quantifying Causal Effects of Road Network Capacity Expansions on Traffic Volume and Density via a Mixed Model Propensity Score Estimator, Journal of the American Statistical Association, Vol:109, ISSN:0162-1459, Pages:1440-1449

Li H, Graham DJ, Majumdar A, 2014, Effects of changes in road network characteristics on road casualties: An application of full Bayes models using panel data, Safety Science, Vol:72, ISSN:0925-7535, Pages:283-292

Ramli AR, Graham DJ, 2014, The demand for road transport diesel fuel in the UK: Empirical evidence from static and dynamic cointegration techniques, Transportation Research Part D - Transport and Environment, Vol:26, ISSN:1361-9209, Pages:60-66

Li H, Graham DJ, Majumdar A, 2013, The impacts of speed cameras on road accidents: An application of propensity score matching methods, Accident Analysis & Prevention, Vol:60, ISSN:0001-4575, Pages:148-157

Graham DJ, McCoy EJ, Stephens DA, 2013, Quantifying the effect of area deprivation on child pedestrian casualties by using longitudinal mixed models to adjust for confounding, interference and spatial dependence, Journal of the Royal Statistical Society Series A - Statistics in Society, Vol:176, ISSN:0964-1998, Pages:931-950

Li H, Graham DJ, Majumdar A, 2012, The effects of congestion charging on road traffic casualties: A causal analysis using difference-in-difference estimation, Accident Analysis & Prevention, Vol:49, ISSN:0001-4575, Pages:366-377

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