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

10.6339/JDS.2012.10(1).1029

Esra Satici；Haydar Demirhan

Bootstrap method ； freight demand modelling ； generalized maximum entropy ； gravity model

Journal of Data Science

10卷1期（2012 / 01 / 01）

75 - 86

英文

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