Although neural networks are commonly encountered to solve classification problems, ranking data present specificities which require adapting the model. Based on a latent utility function defined on the characteristics of the objects to be ranked, the approach suggested in this paper leads to a perceptron-based algorithm for a highly non linear model. Data on stated preferences obtained through...

In a static setting, willingness to pay for an environmental improvement is equal to compensating variation. In a dynamic setting, however, willingness to pay may also contain a commitment cost. In this paper we incorporate the dynamic nature of the value formation process into a stated preference study designed to test whether there is an important dynamic component (commitment cost) in stated...

Waiting at ramp meters and traveling on freeways were tested using a computer administered stated preference (CASP) survey and a virtual experience stated preference (VESP) method employing a driving simulator. The selections varied in the number of minutes waiting at a ramp meter with vehicle speed once on the freeway. The subjects ranked the selections in order of preference. The results were...