IDEAS home Printed from https://ideas.repec.org/p/vua/wpaper/1997-35.html
   My bibliography  Save this paper

Models and scenarios for European freight transport based on neural networks and logit analysis

Author

Listed:
  • Nijkamp, Peter

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

  • Reggiani, Aura
  • Tsang, Wai Fai

Abstract

In this paper we analyse interregional freight transport movements in Europe with a view on new spatial patterns based on transport economic scenarios for environmental sustainability. Two different approaches are compared. viz. the logit model and the neural network model. The paper will essentially deal with a research experiment for the robustness of interregional freight flows by comparing the two above methodologies. Our results in this framework highlight the fact that the two models adopted, although methodologically different, are both able to provide a reasonable spatial representation of the interregional transport flows in Europe.

Suggested Citation

  • Nijkamp, Peter & Reggiani, Aura & Tsang, Wai Fai, 1997. "Models and scenarios for European freight transport based on neural networks and logit analysis," Serie Research Memoranda 0035, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    • Handle: RePEc:vua:wpaper:1997-35
    as

    Download full text from publisher

    File URL: http://degree.ubvu.vu.nl/repec/vua/wpaper/pdf/19970035.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Reggiani, A. & Cattaneo, S & Janic, M., 2000. "Freight transport in Europe : policy issues and future scenarios on trans-border alpine connections," Serie Research Memoranda 0005, 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.

    More about this item

    JEL classification:

    • L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
    • Q29 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Other
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vua:wpaper:1997-35. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: R. Dam (email available below). General contact details of provider: https://edirc.repec.org/data/fewvunl.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.