Abstract
Forecasting techniques must be capable of predicting user responses to changes in a variety of measures of levels of service that are not now explicitly included in contemporary forecasting models. Such models cannot efficiently treat responses to changes in such variables as monetary travel costs, transit routing patterns, and travel costs, transit routing patterns, and travel time at a sufficiently detailed level, an they are frequently not realistically sensitive to small changes likely to be important to users of transportation.