"If only I had taken the other road..." Regret, risk and reinforced learning in informed route-choice

Ben-Elia, E., Ishaq, R. and Shiftan, Y. (2012) "If only I had taken the other road..." Regret, risk and reinforced learning in informed route-choice. Transportation, 40 (2). pp. 269-293. ISSN 0049-4488 Available from: http://eprints.uwe.ac.uk/16906

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Publisher's URL: http://dx.doi/org/10.1007/s11116-012-9426-5


This paper presents a study of the effect of regret on route choice behavior when both travel time descriptional information and feedback on post choice outcomes are provided. The relevance of Regret Theory in travel behavior has been well demonstrated in non-repeated choice environments involving decisions on the basis of descriptional information. The relation between regret and reinforced learning through experiential feedbacks is less understood. Using data obtained from a simple route-choice experiment involving different levels of travel time variability, discrete-choice models accounting for regret aversion effects are estimated. The results suggest that regret aversion is more evident when descriptional information is provided ex-ante compared to a pure learning from experience condition. Yet, the source of regret is related more strongly to experiential feedbacks rather than to the descriptional information itself. In addition, payoff variability is negatively associated with regret while regret aversion is more observable in choice situations that reveal risk-seeking, but less in the opposite case of risk-aversion. These results are important to understand the possible behavioral impacts of emerging information and communication technologies and intelligent transportation systems on travelers’ behavior.

Item Type:Article
Uncontrolled Keywords:expected utility, information, intelligent transportation systems, reinforced learning, regret route-choice, risk
Faculty/Department:Faculty of Environment and Technology
ID Code:16906
Deposited By: J. Triggle
Deposited On:14 Jun 2012 13:50
Last Modified:04 Dec 2016 14:37

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