A methodological framework with models is provided, which correlates behavioral and perceptual issues related to the use of intermodal transportation with the commonly used physical and economic criteria in modal choice approaches. With factor analysis, key variables and common decision patterns related to the choice of intermodal transportation are identified. Factor analysis is applied to capture the actors' (i.e., forwarders, shippers, and shipping lines) perception of the importance of variables affecting the decision-making process. With multiple regression analysis, models simulating the decision-making process are developed for actor groups, utilizing actual quantitative data of cost and performance of intermodal transportation services. Three decision patterns and the respective actor groups' profiles are identified. The first group consists of actors who decide almost exclusively according to the cost criterion; these actors are intensive users of intermodal transportation. The second group has actors who decide according to both quality and cost criteria; using intermodal transportation by this actor group constitutes a minor portion of its total transport volumes. The third group consists of actors who are influenced in their decisions by specific logistics needs, beyond the physical transportation activity itself. The offer of third-party end-haul operations or refrigerated storage areas is an example of such services, necessitating specific logistic support. For each actor group a model is developed, which associates values of the quantitative variables affecting the decision-making process with the share of intermodal transportation in the total volume of transport handled by the group. The application of the model defines the extent to which changes in the values of relevant variables may shift a decision toward the use of intermodal transportation.