Imperial College London

Professor Dan Graham

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Professor of Statistical Modelling
 
 
 
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Contact

 

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

 
 
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Assistant

 

Mrs Maya Mistry +44 (0)20 7594 6100

 
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Location

 

611Skempton BuildingSouth Kensington Campus

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Summary

 

Summary

Dan Graham is Professor of Statistical Modelling in the Department of Civil and Environmental Engineering at Imperial College London (ICL) and Director of the ICL Transport Strategy Centre (TSC). 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 research group works on mathematical and statistical models with applications in transportation. Key research themes include: statistical modelling for performance analytics; causal inference methods and applications; data centric engineering; mathematical modelling in economics, operations and planning; wider economic impacts; and resilience, risk and safety analyses. 

Dan has served as Specialist Advisor to the UK Parliamentary Select Committee on Transport and he provides public policy advice internationally. He is Deputy Head and Director of Teaching in the Transport Engineering Section, with overall responsibility for intercollegiate Msc Degrees. He is a Project Partner of the Data Centric Engineering Program at the Alan Turing Institute in London and a visiting Professor at South East University in Nanjing.

Selected Publications

Journal Articles

Hoercher D, Graham DJ, 2018, Demand imbalances and multi-period public transport supply, Transportation Research Part B - Methodological, Vol:108, ISSN:0191-2615, Pages:106-126

Hoercher D, Graham DJ, Anderson RJ, 2017, Crowding cost estimation with large scale smart card and vehicle location data, Transportation Research Part B - Methodological, Vol:95, ISSN:0191-2615, Pages:105-125

Li H, Graham DJ, 2016, Quantifying the causal effects of 20 mph zones on road casualties in London via doubly robust estimation, Accident Analysis & Prevention, Vol:93, ISSN:0001-4575, Pages:65-74

Graham DJ, McCoy EJ, Stephens DA, 2015, Approximate Bayesian Inference for Doubly Robust Estimation, Bayesian Analysis, Vol:11, ISSN:1936-0975, Pages:47-69

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

More Publications