Statistical and Econometric Methods for Transportation Data Analysis

The book's website (with databases and other support materials) can be accessed here.Praise for the Second Edition:The second edition introduces an especially broad set of statistical methods … As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master’s and Ph.D. students, covering topics from simple descriptive statistics to complex Bayesian models. … It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book offers a wealth of examples from the transportation field. —The American Statistician Statistical and Econometric Methods for Transportation Data Analysis, Third Edition offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics and to provide an increasing range of examples and corresponding data sets. It describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics. Ample analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. New to the Third Edition Updated references and improved examples throughout. New sections on random parameters linear regression and ordered probability models including the hierarchical ordered probit model. A new section on random parameters models with heterogeneity in the means and variances of parameter estimates. Multiple new sections on correlated random parameters and correlated grouped random parameters in probit, logit and hazard-based models. A new section discussing the practical aspects of random parameters model estimation. A new chapter on Latent Class Models. A new chapter on Bivariate and Multivariate Dependent Variable Models. Statistical and Econometric Methods for Transportation Data Analysis, Third Edition can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems.

Simon Washington is Professor of Civil Engineering at the University of Queensland.He is recognized internationally for his contributions in the fields of behavioral econometricsapplied in the areas of transport and urban planning, transport safety and risk acrossall travel modes, and travel behavior. He is Associate Editor or Editorial Advisory BoardMember on six leading international transport journals (Korean Journal of TransportationEngineering; Analytic Methods in Accident Research; Accident Analysis and Prevention; Journal ofTransport and Health; Transportation Research Part A; and Journal of Sustainable Transportation).He has authored or co-authored more than 100 peer-reviewed journal articles and a secondedition of a textbook adopted in over 20 countries, and 6 book chapters. He has been leadinvestigator on more than $26 million on externally supported research and has securednationally competitive research grants in Australia including the Australian ResearchCouncil, the National Health and Medical Research Council, and the Cooperative ResearchCenter, and in the United States from the National Academy of Sciences, the NationalHighway Traffic and Safety Administration, and the Federal Highway Administration.Prior to joining the University of Queensland he served on the faculties of the QueenslandUniversity of Technology, University of California Berkeley, Arizona State University,the University of Arizona, and the Georgia Institute of Technology. He has been visitingprofessor at Ajou University (South Korea), University of Sydney, and LoughboroughUniversity (UK).Professor Matthew Karlaftis passed away unexpectedly in June 2014. He did extensivework in the areas of urban transportation, transportation planning and operations, andemergency response. He was a coauthor of an international bestselling book on transportationeconometrics and statistics, two textbooks on transportation planning andpublic transportation, many book chapters, more than 100 publications in peer-reviewedjournals, and many publications in conference proceedings, all highly cited worldwide.He participated in more than 45 national and European research projects as the principalor co-principal investigator. He was deeply involved in editorial activities. He served asthe editor in chief for Transportation Research Part C, European editor of ASCE’s Journal ofTransportation Engineering, associate editor of ASCE’s Journal of Infrastructure Systems, andan editorial board member for eight other journals. He was the recipient of the FulbrightScholar Grant (2006–2007), the ASCE Walter L. Huber Civil Engineering Research Prize(2005), the TRB ABJ80 Committee on Statistical Methods Best Paper Award (2009), and theASCE State-of-the-Art Paper Award (2011). He served on many technical committees andwas a member of a variety of professional organizations and honor societies in Greece andthe United States. He had a long association with the Hellenic Institute of TransportationEngineers w