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Modeling traveler choice behavior using the concepts of relative utility and relative interest

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  • Zhang, Junyi
  • Timmermans, Harry
  • Borgers, Aloys
  • Wang, Donggen

Abstract

Individual choice behavior usually involves a complex decision-making process, and is often context-dependent reflecting the influence of choice environment and the fact that the individual has limited information processing ability and varying levels of interest in alternatives. However, the existing models in transportation have not represented these behavioral mechanisms satisfactorily, although to avoid the Independence of Irrelevant Alternatives (IIA) property of the widely used multinomial logit (MNL) model, a variety of non-IIA models have been suggested in the literature. This paper will propose another random utility choice model by introducing the concepts of relative utility and relative interest. A revised MNL model and a revised Nested-MNL model will be developed. Both of these models do not have the IIA property. The performance of these new models will be assessed using conjoint-based activity diary data about the choice of destination and stop pattern.

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Bibliographic Info

Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

Volume (Year): 38 (2004)
Issue (Month): 3 (March)
Pages: 215-234

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Handle: RePEc:eee:transb:v:38:y:2004:i:3:p:215-234

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References

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Citations

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Cited by:
  1. Stathopoulos, Amanda & Hess, Stephane, 2012. "Revisiting reference point formation, gains–losses asymmetry and non-linear sensitivities with an emphasis on attribute specific treatment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1673-1689.
  2. Shanjiang Zhu & David Levinson & Lei Zhang, 2007. "An Agent-based Route Choice Model," Working Papers 000089, University of Minnesota: Nexus Research Group.
  3. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
  4. Amanda Stathopoulos & Stephane Hess, 2011. "Referencing, Gains-Losses Asymmetry And Non-Linear Sensitivities In Commuter Decisions: One Size Does Not Fit All!," Working Papers 0511, CREI Università degli Studi Roma Tre, revised 2011.
  5. Boeri, Marco & Longo, Alberto & Grisolía, José M. & Hutchinson, W. George & Kee, Frank, 2013. "The role of regret minimisation in lifestyle choices affecting the risk of coronary heart disease," Journal of Health Economics, Elsevier, vol. 32(1), pages 253-260.
  6. Mara Thiene & Marco Boeri & Caspar Chorus, 2012. "Random Regret Minimization: Exploration of a New Choice Model for Environmental and Resource Economics," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 51(3), pages 413-429, March.
  7. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
  8. Hough, Gary & Hassanien, Ahmed, 2010. "Transport choice behaviour of Chinese and Australian tourists in Scotland," Research in Transportation Economics, Elsevier, vol. 26(1), pages 54-65.

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