Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
