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"If only I had taken the other road...": Regret, risk and reinforced learning in informed route-choice
Authors
A Palma De
A Tversky
+54 more
C Chorus
C Starmer
CG Chorus
CG Chorus
CG Chorus
CR Bhat
CR Bhat
CR Bhat
CR Bhat
D Kahneman
D Kahneman
D McFadden
D Revelt
D Watling
E Avineri
E Avineri
E Avineri
E Ben-Elia
E Ben-Elia
E Cascetta
Eran Ben-Elia
G Barron
G Loomes
HS Mahmassani
I Erev
I Erev
J Neumann von
J Prashker
J Quiggin
JH Halton
JL Horowitz
JR Busemeyer
K Train
K Train
KK Srinivasan
KV Katsikopoulos
M Bar-Hillel
M Bradley
M Zeelenberg
M Zeelenberg
P Bonsall
RD Luce
Robert Ishaq
RP Larrick
S Gao
S Hess
SJ Humphrey
SJ Savage
T Elrod
T Gärling
TA Arentze
WR Shadish
X Lu
Yoram Shiftan
Publication date
1 January 2013
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
This paper presents a study of the effect of regret on route choice behavior when both descriptional information and experiential feedback on 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. Payoff variability is negatively associated with regret. Regret aversion is more observable in choice situations that reveal risk-seeking, and less in the case of risk-aversion. These results are important for predicting the possible behavioral impacts of emerging information and communication technologies and intelligent transportation systems on travelers' behavior. © 2012 Springer Science+Business Media, LLC
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Last time updated on 08/06/2020
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info:doi/10.1007%2Fs11116-012-...
Last time updated on 03/01/2020