Discrete choice analysis predicts how individuals choose among alternatives and helps forecast market demand. It is widely used for pricing, product design, mergers, ridership prediction, and evaluating competitive strategies. This one-week program provides hands-on training with discrete choice models through real case studies. Participants learn data collection, model formulation, estimation, and forecasting using specialised software. The course emphasises practical applications in marketing strategy and policy analysis, equipping attendees with tools to analyse behaviour and market responses under different scenarios.
This programme is organised by the Transportation and Mobility Laboratory at EPFL.
