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Representing and Predicting Tourist Choice Behavior: a Rule-Based vs. a Utility-Based Approach

    1. [1] Eindhoven University of Technology

      Eindhoven University of Technology

      Países Bajos

  • Localización: Tourism analysis, ISSN 1083-5423, Vol. 5, Nº. 2-4, 2000, págs. 113-118
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • As an alternative to the more traditional utility-based models, this article proposes and tests a rulebased approach to modeling tourist choice behavior. The CHAID tree-induction algorithm is used to formulate and test tourists' decision rules for the choice of season. The article shows that a set of 100 exclusive and exhaustive decision rules equals the predictive performance of a MNL model involving 255 parameters. Moreover, it is shown that the number of parameters of a MNL model can be reduced without decreasing the predictive performance by using CHAID preprocessed condition states. Overall, however, none of the models clearly outperforms the other models.


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