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

 

Publications

Publication Type
Year
to

128 results found

Achurra Gonzalez PE, Angeloudis P, Zavitsas K, Niknejad, Graham Det al., 2017, Attacker-defender assessment of vulnerability in maritime logistics corridors, Advances in Shipping Data Analysis and Modeling. Tracking and Mapping Maritime Flows in the Age of Big Data, Editors: Ducruet, Publisher: Routledge

BOOK CHAPTER

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, Pages: 105-125, ISSN: 0191-2615

JOURNAL ARTICLE

Li H, Graham DJ, Liu P, 2017, Safety effects of the London cycle superhighways on cycle collisions, ACCIDENT ANALYSIS AND PREVENTION, Vol: 99, Pages: 90-101, ISSN: 0001-4575

JOURNAL ARTICLE

Melo PC, Graham DJ, Levinson D, Aarabi Set al., 2017, Agglomeration, accessibility and productivity: Evidence for large metropolitan areas in the US, URBAN STUDIES, Vol: 54, Pages: 179-195, ISSN: 0042-0980

JOURNAL ARTICLE

Mohammad SI, Graham DJ, Melo PC, 2017, The effect of the Dubai Metro on the value of residential and commercial properties, JOURNAL OF TRANSPORT AND LAND USE, Vol: 10, Pages: 263-290, ISSN: 1938-7849

JOURNAL ARTICLE

Morse L, Trompet M, Barron A, Graham DJet al., 2017, Development of a Key Performance Indicator System to Benchmark Relative Paratransit Performance, TRANSPORTATION RESEARCH RECORD, Pages: 1-8, ISSN: 0361-1981

JOURNAL ARTICLE

Mundy D, Trompet M, Cohen J, Graham Det al., 2017, The Identification and Management of Bus Priority Schemes; A Study of International Experiences and Best Practices

Priority measures for bus services can deliver significant benefits both for passengers and the operator. For example, green light priority or the conversion of road space to dedicated bus lanes can deliver journey time (variability/predictability) benefits thereby improving both quality of service and operational efficiency. This study investigates how bus priority schemes are identified, selected and managed in 14 different cities across Asia, Australia, Europe and North America. The study reviews the decision making processes, including associated input from bus operators, involved in identifying necessary bus schemes. The study provides examples of succesful and unsuccessful bus priority schemes and methods of bus priority enforcement are explored to establish interesting and successful ways to ensure bus priority measures can be effective. This report may be useful to different stakeholders experiencing difficulties with bus priority selection, implementation and management, such as city/ borough governments, road authorities, bus operators, passenger groups, police, and other organisations.

REPORT

Achurra-Gonzalez PE, Novati M, Foulser-Piggott R, Graham DJ, Bowman G, Bell MGH, Angeloudis Pet al., 2016, Modelling the impact of liner shipping network perturbations on container cargo routing: Southeast Asia to Europe application., Accid Anal Prev

Understanding how container routing stands to be impacted by different scenarios of liner shipping network perturbations such as natural disasters or new major infrastructure developments is of key importance for decision-making in the liner shipping industry. The variety of actors and processes within modern supply chains and the complexity of their relationships have previously led to the development of simulation-based models, whose application has been largely compromised by their dependency on extensive and often confidential sets of data. This study proposes the application of optimisation techniques less dependent on complex data sets in order to develop a quantitative framework to assess the impacts of disruptive events on liner shipping networks. We provide a categorization of liner network perturbations, differentiating between systemic and external and formulate a container assignment model that minimises routing costs extending previous implementations to allow feasible solutions when routing capacity is reduced below transport demand. We develop a base case network for the Southeast Asia to Europe liner shipping trade and review of accidents related to port disruptions for two scenarios of seismic and political conflict hazards. Numerical results identify alternative routing paths and costs in the aftermath of port disruptions scenarios and suggest higher vulnerability of intra-regional connectivity.

JOURNAL ARTICLE

Brage-Ardao R, Graham DJ, Anderson RJ, 2016, Determinants of rolling stock maintenance cost in metros, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, Vol: 230, Pages: 1487-1495, ISSN: 0954-4097

JOURNAL ARTICLE

Horcher D, Graham DJ, Anderson RJ, 2016, Merging smart card data and train movement data: How to assign trips to trains?, Merging smart card data and train movement data: How to assign trips to trains?

This report explains the assignment method applied to link trips compiled in smart card data to train movements recorded in the signalling system. Particular attention has been paid to (1) origin-destination pairs with multiple potential route options, (2) peak-hour trips delayed by di culties in boarding crowded trains at the origin station, and (3) trips originating or ending on rail lines not included in the train movement dataset.In the current version of this paper the metro network on which the method has been applied is anonymised.

REPORT

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

JOURNAL ARTICLE

Li H, Graham DJ, 2016, Heterogeneous treatment effects of speed cameras on road safety, ACCIDENT ANALYSIS AND PREVENTION, Vol: 97, Pages: 153-161, ISSN: 0001-4575

JOURNAL ARTICLE

Yannis G, Dragomanovits A, Laiou A, Richter T, Ruhl S, La Torre F, Domenichini L, Graham D, Karathodorou N, Li Het al., 2016, Use of Accident Prediction Models in Road Safety Management – An International Inquiry, Transportation Research Procedia, Vol: 14, Pages: 4257-4266, ISSN: 2352-1465

JOURNAL ARTICLE

Brage-Ardao R, Graham DJ, Anderson RJ, 2015, Determinants of Train Service Costs in Metro Operations, TRANSPORTATION RESEARCH RECORD, Pages: 31-37, ISSN: 0361-1981

JOURNAL ARTICLE

Canavan S, Graham DJ, Melo PC, Anderson RJ, Barron AS, Cohen JMet al., 2015, Impacts of Moving-Block Signaling on Technical Efficiency Application of Propensity Score Matching on Urban Metro Rail Systems, TRANSPORTATION RESEARCH RECORD, Pages: 68-74, ISSN: 0361-1981

JOURNAL ARTICLE

Cohen JM, Barron AS, Anderson RJ, Graham DJet al., 2015, Impacts of Unattended Train Operations on Productivity and Efficiency in Metropolitan Railways, TRANSPORTATION RESEARCH RECORD, Pages: 75-83, ISSN: 0361-1981

JOURNAL ARTICLE

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

Doubly robust estimators are typically constructed by combining outcomeregression and propensity score models to satisfy moment restrictions thatensure consistent estimation of causal quantities provided at least one of the componentmodels is correctly specified. Standard Bayesian methods are difficult toapply because restricted moment models do not imply fully specified likelihoodfunctions. This paper proposes a Bayesian bootstrap approach to derive approximateposterior predictive distributions that are doubly robust for estimation ofcausal quantities. Simulations show that the approach performs well under varioussources of misspecification of the outcome regression or propensity score models.The estimator is applied in a case study of the effect of area deprivation on theincidence of child pedestrian casualties in British cities.

JOURNAL ARTICLE

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, Pages: 1440-1449, ISSN: 0162-1459

JOURNAL ARTICLE

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, Pages: 283-292, ISSN: 0925-7535

In order to ensure a high level of road safety, road network planning needs to be based on the best knowledge available of the effects of road design on road safety. In this study, we look into how changes in road network characteristics affect road casualties. An approach based on traffic assignment is proposed in order to estimate the traffic exposure at ward level. We apply a widely used approach for before–after evaluation studies, the Bayesian method. We also use a panel semi-parametric model to estimate the dose–response function for continuous treatment variables. The result suggests that there are more casualties in areas with better connectivity and accessibility, where more attention should be paid to safety countermeasures.

JOURNAL ARTICLE

Melo PC, Graham DJ, 2014, Testing for labour pooling as a source of agglomeration economies: Evidence for labour markets in England and Wales, PAPERS IN REGIONAL SCIENCE, Vol: 93, Pages: 31-52, ISSN: 1056-8190

JOURNAL ARTICLE

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, Pages: 60-66, ISSN: 1361-9209

JOURNAL ARTICLE

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, Pages: 931-950, ISSN: 0964-1998

JOURNAL ARTICLE

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

JOURNAL ARTICLE

Mare DC, Graham DJ, 2013, Agglomeration elasticities and firm heterogeneity, JOURNAL OF URBAN ECONOMICS, Vol: 75, Pages: 44-56, ISSN: 0094-1190

JOURNAL ARTICLE

Melo PC, Graham DJ, Brage-Ardao R, 2013, The productivity of transport infrastructure investment: A meta-analysis of empirical evidence, REGIONAL SCIENCE AND URBAN ECONOMICS, Vol: 43, Pages: 695-706, ISSN: 0166-0462

JOURNAL ARTICLE

Mohammad SI, Graham DJ, Melo PC, Anderson RJet al., 2013, A meta-analysis of the impact of rail projects on land and property values, TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, Vol: 50, Pages: 158-170, ISSN: 0965-8564

JOURNAL ARTICLE

Jiwattanakulpaisarn P, Noland RB, Graham DJ, 2012, Marginal Productivity of Expanding Highway Capacity, JOURNAL OF TRANSPORT ECONOMICS AND POLICY, Vol: 46, Pages: 333-347, ISSN: 0022-5258

JOURNAL ARTICLE

Le Nechet F, Melo PC, Graham DJ, 2012, Transportation-Induced Agglomeration Effects and Productivity of Firms in Megacity Region of Paris Basin, TRANSPORTATION RESEARCH RECORD, Pages: 21-30, ISSN: 0361-1981

JOURNAL ARTICLE

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 AND PREVENTION, Vol: 49, Pages: 366-377, ISSN: 0001-4575

JOURNAL ARTICLE

Melo PC, Graham DJ, Canavan S, 2012, Effects of Road Investments on Economic Output and Induced Travel Demand Evidence for Urbanized Areas in the United States, TRANSPORTATION RESEARCH RECORD, Pages: 163-171, ISSN: 0361-1981

JOURNAL ARTICLE

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