Fitting a multiple regression line to travel demand forecasting: The case of the prefecture of Xanthi, Northern Greece

In the last decades, there has been substantial development in modeling techniques of travel demand estimation. Most of the techniques concerning the construction and the calibration of these models, where developed in industrialized countries of the world. In Greece, the construction and calibration of intercity travel demand follow mostly either the extrapolation of historical data, such as growth rates, or the recalibration of models initially formulated and estimated for scenarios in industrialized countries. m of this paper is to identify and estimate the main variables, which affect the travel demand, and to develop models to predict it. The study is focused in the intercity passenger transportation concerning the prefecture of Xanthi in Northern Greece. dels that have been developed and calibrated are aggregate and they are based on multiple linear regression analysis. The final demand models have statistics within the acceptable regions and, also, they are conceptually reasonable.