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Do familiarity and awareness influence voting intention: The case of road pricing reform?

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  • Balbontin, Camila
  • Hensher, David A.
  • Collins, Andrew T.

Abstract

The choices that individuals make are influenced by the attributes defining alternatives from which to choose as well as their socioeconomic characteristics and beliefs. The literature on choice modelling which informs the decision making process implicitly assumes that individuals are both aware of and familiar with the alternatives being assessed. As far as we are aware, there is limited experience of the role that familiarity and awareness play in conditioning the choice behaviour of individuals. This paper investigates the role of awareness and familiarity in a context of growing interest, namely road pricing reform. Specifically, we analyse how the level of familiarity with the road pricing debate and the awareness of what road pricing means might influence the preferences of individuals for cordon-based and distance-based charging regimes, in contrast to the status quo. Familiarity and awareness are introduced into a choice model that allows for risk attitude, source preference and perceptual conditioning from the attribute level’s variation over repeated occurrences, as well as the perceived acceptability of the proposed scenarios. The data was collected in Sydney using a survey that contrasted the current road pricing situation with cordon-based and distance-based charging regimes. The model structure considers familiarity and awareness as endogenous variables. The final model identifies statistically significant roles for user charging fees and how revenue raised is to be spent. The endogenous consideration of awareness and familiarity together with risk attitude and perceptual conditioning through beliefs, provide significant information in improving our understanding of how individuals respond through preference revelation to a number of road pricing reforms.

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  • Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Do familiarity and awareness influence voting intention: The case of road pricing reform?," Journal of choice modelling, Elsevier, vol. 25(C), pages 11-27.
  • Handle: RePEc:eee:eejocm:v:25:y:2017:i:c:p:11-27
    DOI: 10.1016/j.jocm.2017.01.005
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    1. Ubbels, Barry & Verhoef, Erik, 2006. "Acceptability of road pricing and revenue use in the Netherlands," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 32, pages 69-94.
    2. Kim, Junghwa & Schmöcker, Jan-Dirk & Fujii, Satoshi & Noland, Robert B., 2013. "Attitudes towards road pricing and environmental taxation among US and UK students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 50-62.
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Steffen Andersen & Glenn Harrison & Arne Hole & Morten Lau & E. Rutström, 2012. "Non-linear mixed logit," Theory and Decision, Springer, vol. 73(1), pages 77-96, July.
    5. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    6. George Wu & Richard Gonzalez, 1999. "Nonlinear Decision Weights in Choice Under Uncertainty," Management Science, INFORMS, vol. 45(1), pages 74-85, January.
    7. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. Camerer, Colin F & Ho, Teck-Hua, 1994. "Violations of the Betweenness Axiom and Nonlinearity in Probability," Journal of Risk and Uncertainty, Springer, vol. 8(2), pages 167-196, March.
    10. 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.
    11. David Hensher, 2013. "Exploring the relationship between perceived acceptability and referendum voting support for alternative road pricing schemes," Transportation, Springer, vol. 40(5), pages 935-959, September.
    12. Kenneth Button & Erik Verhoef (ed.), 1998. "Road Pricing, Traffic Congestion and the Environment," Books, Edward Elgar Publishing, number 940, December.
    13. Hensher, David A. & Greene, William H. & Li, Zheng, 2011. "Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 954-972, August.
    14. David A. Hensher & John M. Rose & Andrew T. Collins, 2013. "Understanding Buy-in for Risky Prospects: Incorporating Degree of Belief into the ex-ante Assessment of Support for Alternative Road Pricing Schemes," Journal of Transport Economics and Policy, University of Bath, vol. 47(3), pages 453-473, September.
    15. Craig R. Fox & Amos Tversky, 1998. "A Belief-Based Account of Decision Under Uncertainty," Management Science, INFORMS, vol. 44(7), pages 879-895, July.
    16. L. Eeckhoudt & C. Gollier & H. Schlesinger, 2005. "Economic and financial decisions under risk," Post-Print hal-00325882, HAL.
    17. Heath, Chip & Tversky, Amos, 1991. "Preference and Belief: Ambiguity and Competence in Choice under Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 5-28, January.
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    2. Muhamad Rizki & Muhammad Zudhy Irawan & Puspita Dirgahayani & Prawira Fajarindra Belgiawan & Retno Wihanesta, 2022. "Low Emission Zone (LEZ) Expansion in Jakarta: Acceptability and Restriction Preference," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    3. Sen, Suman & Charles, Michael B. & Harrison, Jennifer L., 2022. "Usage-based road pricing and potential equity issues: A study of commuters in South East Queensland, Australia," Transport Policy, Elsevier, vol. 118(C), pages 33-43.
    4. Yacan Wang & Yu Wang & Luyao Xie & Huiyu Zhou, 2018. "Impact of Perceived Uncertainty on Public Acceptability of Congestion Charging: An Empirical Study in China," Sustainability, MDPI, vol. 11(1), pages 1-21, December.

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