Choice-Driven Methods for Decision-Making in Intermodal Transport: Behavioral heterogeneity and supply-demand interactions

Container transport requires constant improvement to be more efficient and sustainable. Improvements can take the form of innovations, investments or policies. This thesis develops choice-driven methods to enhance decision-making in intermodal freight transport by focusing on demand, supply, and competition aspects considering heterogeneous behaviors and interactions of actors. The proposed methods support policy-makers, transport companies, and planners in foreseeing the impacts of their decisions on the involved actors.