Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Department: search.filters.department.İzmir Institute of Technology. Civil EngineeringSubject: search.filters.subject.Spatial interaction models

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  • Article
    Citation - Scopus: 31
    Spatial Interaction Modeling of Interregional Commodity Flows
    (Elsevier Ltd., 2007) Çelik, Hüseyin Murat; Guldmann, Jean-Michel
    Drawing from both the spatial price equilibrium theoretical framework and the empirical literature on spatial interaction modeling, this paper expands models of interregional commodity flows (CFs) by incorporating new variables and using a flexible Box-Cox functional form. The 1993 US commodity flows survey provides the empirical basis for estimating state-to-state flow models for 16 commodity groups over the 48 continental US states. The optimized Box-Cox specification proves to be superior to the multiplicative one in all cases, while selected variables provide new insights into the determinants of state-to-state CFs.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 8
    Forecasting Interregional Commodity Flows Using Artificial Neural Networks: an Evaluation
    (Taylor and Francis Ltd., 2004) Çelik, Hüseyin Murat
    Previous 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.