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

Autor:	Haydar Demirhan, Esra Satici
Rok vydání:	2021
Předmět:	0301 basic medicine Estimation Principle of maximum entropy Estimator Regression analysis Data set 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Gravity model of trade 030220 oncology & carcinogenesis Econometrics Axle load Mathematics
Zdroj:	Journal of Data Science. 10:75-86
ISSN:	1683-8602 1680-743X
DOI:	10.6339/jds.201201_10(1).0006
Popis:	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.
Databáze:	OpenAIRE
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