A rigorous and accessible introduction to the analysis, planning, and modeling of transportation systems. 

Developed from the author’s longstanding teaching experience, Models and Methods for Transportation Systems integrates engineering, economics, behavioral analysis, and mathematical modeling into a coherent framework for understanding modern mobility systems. The book covers the full spectrum of transportation system analysis, from travel demand and activity-based decision-making to transportation networks, traffic assignment, and policy evaluation. Readers are introduced to key concepts such as equilibrium, elasticity, consumer surplus, discrete choice models, value of time, trip generation, origin-destination matrices, modal split, and network performance. Particular emphasis is placed on the development and application of mathematical models, including regression analysis, maximum likelihood estimation, and random utility models.

Through numerous examples, case studies, and exercises, the book demonstrates how transportation systems can be analyzed as complex socio-technical systems in which infrastructure, user behavior, and public policy interact continuously. It provides students and practitioners with the analytical tools needed to understand mobility challenges, evaluate transportation policies, and design efficient and sustainable transportation systems. Designed for undergraduate and early graduate students in civil engineering, transportation engineering, operations research, urban planning, and applied economics, this book offers a comprehensive foundation for the study of transportation systems and mobility analysis.