Advanced Search
MyIDEAS: Login to save this paper or follow this series

European Freight Transport Analysis using Neural Networks and Logit Models


Author Info

  • Aura Reggiani

    (Università di Bologno)

  • Peter Nijkamp


  • Wai Fai Tsang

    (Vrije Universiteit Amsterdam)


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.

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 Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 97-032/3.

as in new window
Date of creation: 01 Mar 1997
Date of revision:
Handle: RePEc:dgr:uvatin:19970032

Contact details of provider:
Web page:

Related research



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. Schumacher, Martin & Ro[ss]ner, Reinhard & Vach, Werner, 1996. "Neural networks and logistic regression: Part I," Computational Statistics & Data Analysis, Elsevier, vol. 21(6), pages 661-682, June.
Full references (including those not matched with items on IDEAS)


Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Reggiani, Aura & Nijkamp, Peter & Tsang, Wai-Fai, 1997. "Neural network and spatial interaction analysis of European commodity flows," Serie Research Memoranda 0068, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  2. Reggiani, Aura & Nijkamp, Peter & Nobilio, Lucia, 1997. "Spatial modal patterns in European freight transport networks: results of neurocomputing and logit models," Serie Research Memoranda 0029, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  3. Aura Reggiani & Peter Nijkamp & Enrico Sabella, 1998. "Evolutionary algorithms: Overview and applications to European transport," ERSA conference papers ersa98p412, European Regional Science Association.
  4. Nijkamp, Peter & Reggiani, Aura & Bolis, Simona, 1997. "European freight transport and the environment: empirical applications and scenarios," Serie Research Memoranda 0033, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  5. Aura Reggiani & Peter Nijkamp & Simona Bolis, 1997. "The Role of Transalpine Freight Transport in a Common European Market: Analyses and Empirical Applications," Tinbergen Institute Discussion Papers 97-065/3, Tinbergen Institute.


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:uvatin:19970032. 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: (Antoine Maartens (+31 626 - 160 892)).

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.