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Is car drivers’ response to congestion charging schemes based on the correct perception of price signals?

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  • Link, Heike

Abstract

This paper deals with the question of whether the capability of car drivers to estimate the cost of a new hypothetical, highly differentiated congestion charge influences their decision to change travel behaviour. The analysis makes use of an integrated choice and latent variable model (ICLV) which merges classic choice models with the structural equation approach (SEM) for latent variables. This hybrid model improves the explanatory power considerably compared with a conventional discrete choice model. The results suggest that charge complexity decreases the resistance in considering behavioural changes. Car drivers tend to avoid a travel option where the price is not known beforehand, a phenomenon known as ambiguity avoidance.

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  • Link, Heike, 2015. "Is car drivers’ response to congestion charging schemes based on the correct perception of price signals?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 96-109.
    • Handle: RePEc:eee:transa:v:71:y:2015:i:c:p:96-109
    DOI: 10.1016/j.tra.2014.11.004
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    1. Swait, Joffre & Adamowicz, Wiktor, 2001. "The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 135-148, June.
    2. Raveau, Sebastián & Yáñez, María Francisca & Ortúzar, Juan de Dios, 2012. "Practical and empirical identifiability of hybrid discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1374-1383.
    3. Jörn Altmann & Björn Rupp & Pravin Varaiya, 2001. "Effects of pricing on Internet user behavior," Netnomics, Springer, vol. 3(1), pages 67-84, June.
    4. Eliasson, Jonas, 2014. "The role of attitude structures, direct experience and reframing for the success of congestion pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 81-95.
    5. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    6. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    7. Francke, Angela & Kaniok, Denise, 2013. "Responses to differentiated road pricing schemes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 25-30.
    8. S. Jaensirisak & M. Wardman & A. D. May, 2005. "Explaining Variations in Public Acceptability of Road Pricing Schemes," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 127-154, May.
    9. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    10. Garbarino, Ellen C & Edell, Julie A, 1997. "Cognitive Effort, Affect, and Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 147-158, September.
    11. Conlon, B.J. & Dellaert, B.G.C. & van Soest, A.H.O., 2001. "Complexity and Accuracy in Consumer Choice : The Double Benefits of Being the Consistently Better Brand," Discussion Paper 2001-54, Tilburg University, Center for Economic Research.
    12. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    13. Yáñez, M.F. & Raveau, S. & Ortúzar, J. de D., 2010. "Inclusion of latent variables in Mixed Logit models: Modelling and forecasting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 744-753, November.
    14. Bonsall, Peter & Shires, Jeremy & Maule, John & Matthews, Bryan & Beale, Jo, 2007. "Responses to complex pricing signals: Theory, evidence and implications for road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 672-683, August.
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