Çelik, Hüseyin Murat02.03. Department of City and Regional Planning02. Faculty of Architecture01. Izmir Institute of Technology2016-06-012016-06-012004-12Çelik, H. M. (2004). Forecasting interregional commodity flows using artificial neural networks: An evaluation. Transportation Planning and Technology, 27(6), 449-467. doi:10.1080/03081060420002934990308-10601029-0354http://doi.org/10.1080/0308106042000293499http://hdl.handle.net/11147/4700Previous studies have concluded that the use of artificial neural networks (ANNs) is a promising new technique for modelling freight distribution, supporting, the findings of other studies in the area of spatial interaction modelling. However, the forecasting performance of ANNs is still under investigation. This study tests the predictive performance of the ANN Model with respect to a Box-Cox spatial interaction model. It is concluded that the Box-Cox model outperforms ANN in forecasting interregional commodity flows even if ANN had proven calibration superiority in comparison to conventional gravity type models.eninfo:eu-repo/semantics/openAccessFreight transportationArtificial neural networksCommodity flowsFreight transportationSpatial interaction modelsArticle2-s2.0-1224430955910.1080/030810604200029349910.1080/0308106042000293499