Use of Generalized Maximum Entropy Estimation for Freight Flows Modelling and an Application

In this paper, freight transportation is taken into account. One of the models used for modelling \Origin-Destination" freight ows is log- regression model obtained by applying a log-transformation to the tradi- tional gravity model. Freight ows between ten provinces of Turkey is ana- lyzed by using generalized maximum entropy estimator of the log-regression model for freight ow. The data set is gathered together from the axle load survey performed by Turkish Directorate of Highways and other so- cioeconomic and demographic variables related with provinces of interest. Relations between considered socioeconomic and demographic variables and freight ows are gured out and results are discussed.