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.

section Section I|51 pages


chapter 1|17 pages

Statistical Inference I

Descriptive Statistics

chapter 2|31 pages

Statistical Inference II

Interval Estimation, Hypothesis Testing, and Population Comparisons Descriptive Statistics

section Section II|182 pages

Continuous Dependent Variable Models

chapter 3|50 pages

Linear Regression

chapter 4|18 pages

Violations of Regression Assumptions

chapter 5|12 pages

Simultaneous Equation Models

chapter 6|12 pages

Panel Data Analysis

chapter 7|26 pages

Background and Exploration in Time Series

chapter 8|23 pages

Forecasting in Time Series

Autoregressive Integrated Moving Average (ARIMA) Models and Extensions

chapter 9|19 pages

Latent Variable Models

chapter 10|18 pages

Duration Models

section Section III|76 pages

Count and Discrete-Dependent Variable Models

chapter 11|16 pages

Count Data Models

chapter 12|6 pages

Logistic Regression

chapter 13|30 pages

Discrete Outcome Models

chapter 14|12 pages

Ordered Probability Models

chapter 15|10 pages

Discrete/Continuous Models

section Section IV|93 pages

Other Statistical Methods

chapter 16|48 pages

Random Parameters Models

chapter 17|11 pages

Latent Class (Finite Mixture) Models

chapter 19|13 pages

Bayesian Statistical Methods