A multicriteria analysis of stated preferences among freight transport alternatives

The paper presents a multi-criteria methodology for analysing stated preference data on freight transport alternatives defined in terms of transport attributes. The model used is the UTA model, which, on the basis of a preference ranking and a goal programming set-up, estimates an additive non-linear utility function made of linear segments. The method is applied to a set of individual stated preference data obtained from freight transport managers, who were interviewed about the importance they gave to six transport attributes: frequency, time, reliability, flexibility, loss, and cost