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Airport and Access Mode Choice : A Generalized Nested Logit Model Approach

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  • Gelhausen, Marc Christopher
  • Wilken, Dieter

Abstract

The purpose of the paper is to present a novel approach of a general airport and access mode choice model. Based on data of the German Air Traveller Survey 2003 with a sample size of about 210.000 passengers interviewed at 21 airports a three-stage nested logit model has been estimated in a first step. 7 different access modes to the airport are modelled, subdivided into four private and three public travel modes. The model includes 7 different market segments: Domestic, European and Intercontinental travel, each segment split up into private and business travel. The European private travel segment is further subdivided into short stay trips and holiday travel. The aim is to develop a generally applicable airport and access mode choice model. Thereby it is possible to analyse future in terms of new airport constellations and new airport access modes. To achieve this, Kohonens Self-Organizing-Maps are used to identify different airport clusters and assign every airport to the appropriate cluster. Based on these airport clusters the aforementioned nested logit model has been estimated. The model is fully flexible regarding airports and access modes included in the analysis, thereby it is possible to evaluate any scenario, whether it is existing today or not. Furthermore, the model is not restricted in terms of the maximum number of airport/access mode combinations allowed. Interesting model applications comprise new high speed intercity access to existing airports or the impact of new airports like for example Berlin-Brandenburg International. Analysis of airport and access mode choice in border regions is possible, too.

Suggested Citation

  • Gelhausen, Marc Christopher & Wilken, Dieter, 2006. "Airport and Access Mode Choice : A Generalized Nested Logit Model Approach," MPRA Paper 4311, University Library of Munich, Germany, revised 2006.
  • Handle: RePEc:pra:mprapa:4311
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    File URL: https://mpra.ub.uni-muenchen.de/4311/1/MPRA_paper_4311.pdf
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    File URL: https://mpra.ub.uni-muenchen.de/11957/2/MPRA_paper_11957.pdf
    File Function: revised version
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    References listed on IDEAS

    as
    1. Wilken, Dieter & Berster, Peter & Gelhausen, Marc Christopher, 2005. "Airport Choice in Germany - New Empirical Evidence of the German Air Traveller Survey 2003," MPRA Paper 5631, University Library of Munich, Germany.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, April.
    3. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2003. "Access to and competition between airports: a case study for the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 71-83, January.
    4. Hensher, David A. & Greene, William H., 2002. "Specification and estimation of the nested logit model: alternative normalisations," Transportation Research Part B: Methodological, Elsevier, vol. 36(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Gelhausen, Marc Christopher, 2006. "Airport and Access Mode Choice in Germany: A Generalized Neural Logit Model Approach," MPRA Paper 4236, University Library of Munich, Germany, revised Sep 2006.
    2. Gelhausen, Marc Christopher, 2008. "Airport Choice in a Constraint World: Discrete Choice Models and Capacity Constraints," MPRA Paper 9675, University Library of Munich, Germany.
    3. Gelhausen, Marc Christopher, 2006. "Flughafen- und Zugangsverkehrsmittelwahl in Deutschland - Ein verallgemeinerter Nested Logit-Ansatz," MPRA Paper 16002, University Library of Munich, Germany.
    4. Gelhausen, Marc Christopher, 2007. "Passengers' Airport Choice," MPRA Paper 16037, University Library of Munich, Germany.

    More about this item

    Keywords

    Airport and access mode choice; Airport categories; Artificial neural networks; Discrete choice model; Generalized nested logit model; Kohonen's Self-Organizing Maps;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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