Professor Dan Graham

Graham DJ, McCoy EJ, Stephens DA, 2012, Quantifying the effect of area deprivation on child pedestrian casualties by using longitudinal mixed models to adjust for confounding, interference and spatial independence, Journal of the Royal Statistical Society Series A-Statistics in Society, Vol: 176, ISSN: 0964-1998

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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

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• Citations: 21

Melo PC, Graham DJ, Noland RB, 2012, The effect of labour market spatial structure on commuting in England and Wales, JOURNAL OF ECONOMIC GEOGRAPHY, Vol: 12, Pages: 717-737, ISSN: 1468-2702

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• Citations: 13

Trompet M, Graham DJ, 2012, A Balanced Approach to Normalizing Bus Operational Data for Performance Benchmarking Purposes, 91st Transportation Research Board Annual Meeting

Peer organizations in a performance benchmarking group are usually carefully selected based on similar characteristics such as the type of services offered, operational characteristics and density of the service area. These similarities enable organizations to compare performance once their operational data are normalized. The most commonly used normalization factors for the demand side output are passenger boardings and passenger kilometres. For the supply side output these are vehicle kilometres and vehicle hours. Through seven years of experience in the International Bus Benchmarking Group (IBBG) a better understanding of differences in service characteristics between ‘similar’ peers has been achieved. It became clear that relative performance can often not be concluded from a performance indicator normalized in one dimension. Variety in commercial speed, trip length, vehicle capacity, vehicle weight and network efficiency results in the need for a multi dimensional or balanced approach to data normalization. This paper quantifies the variety within these operational characteristics and provides a framework for benchmarking practitioners and policymakers that suggests applicable combinations of denominators for a balanced normalization process. This paper further describes how alternative normalization factors such as revenue service planning capacity kilometres and total tonne kilometres have improved comparability of Key Performance Indicators (KPIs).

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Molloy J, Melo PC, Graham DJ, Majumdar A, Ochieng Wet al., 2012, The Role of Air Travel Demand Elasticities in Reducing Aviation's CO2 Emissions: Evidence for European Airlines, Transportation Research Record: Journal of the Transportation Research Board

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Melo PC, Graham DJ, 2012, Testing for Labour Pooling as a Source of Agglomeration Economies: Evidence for Labour Markets in England and Wales, Papers in Regional Science

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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

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• Citations: 2

Mohammad SI, Graham DJ, Melo PC, Anderson RJet al., 2012, A meta-analysis of the impact of rail projects on land and property values, 1st European Symposium on Quantitative Methods in Transportation Systems

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Melo PC, Graham DJ, Canavan S, 2012, Effects of Road Investment on Economic Output and Induced Travel Demand, Transportation Research Record: Journal of the Transportation Research Board (In Press)

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Theofilatos A, Graham D, Yannis G, 2012, Factors Affecting Accident Severity Inside and Outside Urban Areas in Greece, TRAFFIC INJURY PREVENTION, Vol: 13, Pages: 458-467, ISSN: 1538-9588

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• Citations: 57

Mohammad S, Graham D, Melo P, Anderson Ret al., 2012, A meta-analysis of the impact of Rail Projects on Land and Property values

The literature on land/property values demonstrates large variability in the estimated change in values arising from rail investments. This study conducts a meta-analysis on empirical estimates for 102 observations on the same. The factors that produce significant variations include the type of land use, the type of rail, rail maturity, the distance to stations, the geographical location, accessibility to other modes, methodological characteristics, and whether the impacted area is land or property. On the other hand, we observe that changes in purchase price and rent values are statistically indifferent, that there is no evidence of change in values over time nor due to the location of land/property within the city, and that including property and neighbourhood characteristics in the model do not change values significantly. Publication bias tests are performed and show that although researchers tend to report positive and negative results, they tend to be biased towards significant estimates.

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Graham DJ, McCoy EJ, Stephens DA, 2011, The effect of area deprivation on child pedestrian casualties: Frequentist and Bayesian evidence from longitudinal data, Swiss Transport Research Conference

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Graham DJ, Van Dender K, 2011, Estimating the agglomeration benefits of transport investments: some tests for stability, TRANSPORTATION, Vol: 38, Pages: 409-426, ISSN: 0049-4488

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• Citations: 38

Graham DJ, 2011, Direct and wider economic benefits in transportappraisal, A Handbook of Transport Economics, Publisher: Edward Elgar Publishing, ISBN: 9780857930873

'This Handbook is a stellar compilation of up-to-date knowledge about the important topics in transport economics.

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Trompet M, Liu X, Graham DJ, 2011, Development of Key Performance Indicator to Compare Regularity of Service Between Urban Bus Operators, TRANSPORTATION RESEARCH RECORD, Pages: 33-41, ISSN: 0361-1981

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• Citations: 64

Melo PC, Harris NG, Graham DJ, Anderson RJ, Barron Aet al., 2011, Determinants of Delay Incident Occurrence in Urban Metros, TRANSPORTATION RESEARCH RECORD, Pages: 10-18, ISSN: 0361-1981

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• Citations: 7

Jiwattanakulpaisarn P, Noland RB, Graham DJ, 2011, Highway infrastructure and private output: evidence from static and dynamic production function models, TRANSPORTMETRICA, Vol: 7, Pages: 347-367, ISSN: 1812-8602

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• Citations: 16

Crotte A, Graham DJ, Noland RB, 2011, The Role of Metro Fares, Income, Metro Quality of Service and Fuel Prices for Sustainable Transportation in Mexico City, INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION, Vol: 5, Pages: 1-24, ISSN: 1556-8318

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• Citations: 11

Graham DJ, Melo PC, 2011, Assessment of Wider Economic Impacts of High-Speed Rail for Great Britain, TRANSPORTATION RESEARCH RECORD, Pages: 15-24, ISSN: 0361-1981

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• Citations: 25

Mackie P, Graham D, Laird J, 2011, The direct and wider impacts of transport projects: a review, HANDBOOK OF TRANSPORT ECONOMICS, Editors: DePalma, Lindsey, Quinet, Vickerman, Publisher: EDWARD ELGAR PUBLISHING LTD, Pages: 501-526

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• Citations: 13

Graham DJ, Melo PS, Jiwattanakulpaisarn P, Noland RBet al., 2010, TESTING FOR CAUSALITY BETWEEN PRODUCTIVITY AND AGGLOMERATION ECONOMIES, JOURNAL OF REGIONAL SCIENCE, Vol: 50, Pages: 935-951, ISSN: 0022-4146

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• Citations: 61

Crotte A, Noland RB, Graham DJ, 2010, An analysis of gasoline demand elasticities at the national and local levels in Mexico, ENERGY POLICY, Vol: 38, Pages: 4445-4456, ISSN: 0301-4215

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• Citations: 34

Jiwattanakulpaisarn P, Noland RB, Graham DJ, 2010, Causal linkages between highways and sector-level employment, TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, Vol: 44, Pages: 265-280, ISSN: 0965-8564

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• Citations: 44

Wadud Z, Noland RB, Graham DJ, 2010, A semiparametric model of household gasoline demand, ENERGY ECONOMICS, Vol: 32, Pages: 93-101, ISSN: 0140-9883

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• Citations: 28

Karathodorou N, Graham DJ, Noland RB, 2010, Estimating the effect of urban density on fuel demand, Energy Economics, Vol: 32, Pages: 86-92

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Melo PC, Graham DJ, Noland RB, 2010, Impact of Transport Infrastructure on Firm Formation Evidence from Portuguese Municipalities, TRANSPORTATION RESEARCH RECORD, Pages: 133-143, ISSN: 0361-1981

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• Citations: 19

Maré D, Graham DJ, 2009, Agglomeration Elasticities in New Zealand

This paper analyses the relationship between firms’ multi-factor productivity and the effective employment density of the areas where they operate. Quantifying these agglomeration elasticities is of central importance in the evaluation of the wider economic benefits of transport investments. We estimate agglomeration elasticities using the Statistics New Zealand prototype Longitudinal Business Database: a firm-level panel covering the period 1999 to 2006. We estimate that an area with 10 percent higher effective density has firms with productivity that is 0.69 percent higher, once we control for the industry specific production functions and sorting of more productive firms across industries and locations. We present separate estimates of agglomeration elasticities for specific industries and regions, and examine the interaction of agglomeration with capital, labour, and other inputs.

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Jiwattanakulpaisarn P, Noland RB, Graham DJ, Polak JWet al., 2009, HIGHWAY INFRASTRUCTURE INVESTMENT AND COUNTY EMPLOYMENT GROWTH: A DYNAMIC PANEL REGRESSION ANALYSIS, JOURNAL OF REGIONAL SCIENCE, Vol: 49, Pages: 263-286, ISSN: 0022-4146

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• Citations: 28

Melo PC, Graham DJ, Noland RB, 2009, A meta-analysis of estimates of urban agglomeration economies, REGIONAL SCIENCE AND URBAN ECONOMICS, Vol: 39, Pages: 332-342, ISSN: 0166-0462

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• Citations: 421

Jiwattanakulpaisarn P, Noland RB, Graham DJ, Polak JWet al., 2009, Highway infrastructure and state-level employment: A causal spatial analysis, PAPERS IN REGIONAL SCIENCE, Vol: 88, Pages: 133-159, ISSN: 1056-8190

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• Citations: 26