EconPapers    
Economics at your fingertips  
 

European Freight Transport Analysis using Neural Networks and Logit Models

Aura Reggiani (), Peter Nijkamp and Wai Fai Tsang
Additional contact information
Wai Fai Tsang: Vrije Universiteit Amsterdam

No 97-032/3, Tinbergen Institute Discussion Papers from Tinbergen Institute

Abstract: The present paper aims to analyse interregional freight transport movements in Europe in order to forecast spatio-temporal patterns of new transport economic scenarios.In view of the high dimension of our data-base on transport flows, two different approaches are compared, viz. the logit model and the neural network model. Logit models are well-known in the literature; however, applications of logit analysis to large samples are more rare. Neural networks are nowadays receiving a considerable attention as a new approach that is able to capture major patterns of flows, on the basis of fuzzy and incomplete information. Inthis context an assessment of this method on the basis of a large amount of data is an interesting research endeavour.The paper will essentially deal with a research experiment, oriented towards both calibration/learning procedures and spatial forecasting, in order to compare the two above methodologies as well as to investigate the potential/limitations of the two above mentioned different, but related assessment methods. The first results in this framework highlight the factthat the two models adopted, although methodologically different, are both able to provide a reasonable spatial mapping of the interregional transport flows under consideration.

Date: 1997-03-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://papers.tinbergen.nl/97032.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:19970032

Access Statistics for this paper

More papers in Tinbergen Institute Discussion Papers from Tinbergen Institute Contact information at EDIRC.
Bibliographic data for series maintained by Tinbergen Office +31 (0)10-4088900 ().

 
Page updated 2025-03-23
Handle: RePEc:tin:wpaper:19970032