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Most of the modeling techniques of travel demand estimation for intercity travel were developed in industrialized countries. Hence, very few attempts were made in developing ones, mainly, due to the non availability of the proper data since the cost of nation wide travel surveys is high.The aim of this paper is to identify and select the main variables which affect the intercity auto directional travel demand and to develop models to predict it. The case of the five prefectures of East Macedonia and Thrace -Thessaloniki and Athens Corridor in Greece is investigated.The models that have been developed are aggregate and they are based on the multiple linear regression analysis. The final demand models have statistics within the acceptable regions and, also, they are conceptually reasonable.

Disaggregate mode choice models estimation, which are used for evaluating the ridership share on intercity travel service and for identifying modes which will lead to an upgraded traveler's service, constitutes a critical part of evaluating alternative travel service proposals to intercity travel. The aim of this paper is to estimate the choice of mode in intercity travel demand. Disaggregate logit models are estimated by using data collected in order to investigate the passengers' behavior of the broader region under study. The final models are applicable on regional level and have statistics within acceptable region.