Comparative modelling of interregional transport flows: applications to multimodal European freight transport

Peter Nijkamp, Aura Reggiani () and Wai Fai Tsang

No 2, Serie Research Memoranda from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics

Abstract: This paper aims to compare the descriptive and predictive power of two classes of statistical estimation models for multimodal network flows, viz. the logit model and the neural network model. The application concerns a large data set on inter-regional European freight flows for two commodity categories (food and chemicals). After an exposition of policy issues, methodological and modelling questions and the database, a variety of experiments is carried out. The results show that in general the predictive potential of neural network models is higher than that of logit analysis. The statistical results are also used to investigate the implications of various road tax systems (e.g., e&axes) on various segments of the European road network

JEL-codes: C13 L91 R40 (search for similar items in EconPapers)
Date: 1999
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Citations: View citations in EconPapers (1)

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Journal Article: Comparative modelling of interregional transport flows: Applications to multimodal European freight transport (2004)
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Persistent link: https://EconPapers.repec.org/RePEc:vua:wpaper:1999-2

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