CIE 555LEC - Discrete Choice Analysis

The focus of this course is on the theory and practice underlying the analysis and modeling of individual people’s choice behavior with applications to transportation planning, travel demand forecasting, and travel behavior analysis. The course will provide students with an understanding of the theory, methods, application and interpretation of multinomial Logit (MNL), Nested Logit and other members of the Generalized Extreme Value (GEV) family of models. It will also include an introduction to Mixed Logit models. Meanwhile, the course will use a class project as an opportunity for students to explore their interest in analyzing discrete choice behavior.

Credits: 3

Requisites: Pre-Requisite: CIE 539.