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Incorporating Fuzzy Reference Points into Applications of Travel Choice Modeling

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Applications of Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 52))

Summary

The uncertainties involved in travel alternatives have an effect on travelers’ choices, however travel choice models and commercial applications have limitations in capturing the uncertainty in the mind of the travelers. Travelers’ preferences, as revealed in field studies and laboratory studies, are generally supported by the robust findings of Prospect Theory, a descriptive model of individual choice under risk and uncertainty. Prospect Theory models responses to risky situations framed as ‘gains’ and ‘losses’ defined over a reference point. However, different from choices made in economic/financial contexts, the concepts of ‘winning’ or ‘loosing’ in a travel choice context may be considered to be fuzzy rather than crisp. Extending the principles of prospect theory, this paper introduces a model based on a fuzzy representation of the travel time’s reference point in the mind of the traveler.

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References

  1. Von Neuman, J., Morgenstern, O.: Theory of Games and Economic Behavior. Princeton University Press, USA (1944)

    Google Scholar 

  2. Kahneman, D., Tversky, A.: Prospect Theory: An Analysis of Decisions under Risk. Econometrica 47, 263–291 (1979)

    Article  MATH  Google Scholar 

  3. Tversky, A., Kahneman, D.: Advances in Prospect Theory: Cumulative Representation of Uncertainty. Journal of Risk and Uncertainty 9, 195–230 (1992)

    Google Scholar 

  4. Preston, M., Baratta, P.: An Experimental Study of the Auction-Value of an Uncertain Outcome. American Journal of Psychology 61, 183–193 (1948)

    Article  Google Scholar 

  5. Gonzalez, R., Wu, G.: On the Form of the Probability Weighting Function. Cognitive Psychology 38, 129–166 (1999)

    Article  Google Scholar 

  6. Zadeh, L.A.: The Concept of Linguistic Variable and its Application to Approximate Reasoning. Memorandum ERL-M 411, Berkeley (October 1973)

    Google Scholar 

  7. Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications. Academic Press, New York (1980)

    MATH  Google Scholar 

  8. Wolkenhauer, O.: Data Engineering: Fuzzy Mathematics in Systems Theory & Data Analysis Summary. John Wiley and Sons, Chichester (2001)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Avineri, E. (2009). Incorporating Fuzzy Reference Points into Applications of Travel Choice Modeling. In: Avineri, E., Köppen, M., Dahal, K., Sunitiyoso, Y., Roy, R. (eds) Applications of Soft Computing. Advances in Soft Computing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88079-0_22

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  • DOI: https://doi.org/10.1007/978-3-540-88079-0_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88078-3

  • Online ISBN: 978-3-540-88079-0

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