This course provides an introduction to analysis and forecasting of passenger travel demand. The course objective is for students to understand the fundamentals of discrete choice models, as these are the building blocks for travel demand modeling. By analyzing case studies and participating in a group project, students will also understand how these models are applied in practice for analyzing travel behavior and how it can be expected to change in future scenarios.

The range of topics for this course includes an introduction to transportation planning, fundamentals of utility theory and other behavioral theories, binary, multinomial, and nested Logit (discrete choice) models, survey data collection and sampling, scenario analysis, and model forecasting.