Advanced Search
MyIDEAS: Login

Spatial modal patterns in European freight transport networks: results of neurocomputing and logit models


Author Info

  • Reggiani, Aura

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Nijkamp, Peter
  • Nobilio, Lucia


The present paper aims to analyse interregional freight transport movements in Europe with a view on forecasting future patterns of transport flows using simple 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. In this 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 European 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 intrinsically different, but nevertheless related assessment methods. The application field is the assessment of European (mainly Transalpine) modal freight flows. The first results in this framework highlight the fact that the two models adopted, although methodologically of a different nature, are both able to provide a reasonable spatial mapping of the interregional transport flows under consideration.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL:
Download Restriction: no

Bibliographic Info

Paper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0029.

as in new window
Date of creation: 1997
Date of revision:
Handle: RePEc:dgr:vuarem:1997-29

Contact details of provider:
Web page:

Related research


Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:


References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Aura Reggiani & Peter Nijkamp & Wai Fai Tsang, 1997. "European Freight Transport Analysis using Neural Networks and Logit Models," Tinbergen Institute Discussion Papers 97-032/3, Tinbergen Institute.
Full references (including those not matched with items on IDEAS)



This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


Access and download statistics


When requesting a correction, please mention this item's handle: RePEc:dgr:vuarem:1997-29. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (R. Dam).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.