A DISAGGREGATE BOX-COX LOGIT MODE CHOICE MODEL OF INTERCITY PASSENGERTRAVEL IN GERMANY AND ITS IMPLICATIONS FOR HIGH-SPEED RAIL DEMAND FORECASTS

We show that enriching legit mode choice model specification by mode a ttributes, socio economic variables and trip purpose characteristics s ignificantly improves model quality, and that Box-Cox transformations applied to model attributes imply an asymmetry of the reaction curve, as well as more reasonable properties (diminishing marginal values of time savings, elasticities and values of time that differ among the mo des) than those of the linear legit model, Moreover, the model yielded very different high speed rail market shares for Germany than results obtained with the usual linear utility functions.