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The role of attribute processing strategies in estimating the preferences of road freight stakeholders

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  • Puckett, Sean M.
  • Hensher, David A.
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    Abstract

    Choice behaviour studies typically assume passive bounded rationality, suggesting that decision makers process all information given to them with equal attention. However, it is probable that decision makers invoke any number of attribute processing strategies (APSs) when weighing the characteristics of candidate alternatives against one another. Utilising data from a study of urban road freight stakeholders evaluating alternative packages of component trip times, fuel costs and variable user charges, this paper shows that accounting for APS heterogeneity associate with each alternative in each choice set results in differing marginal disutilities and willingness to pay for components of travel time, compared to a model which assumes passive bounded rationality.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

    Volume (Year): 44 (2008)
    Issue (Month): 3 (May)
    Pages: 379-395

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    Handle: RePEc:eee:transe:v:44:y:2008:i:3:p:379-395

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    Related research

    Keywords: Attribute processing strategies Information processing Road freight Variable user charging Stated choice Mixed logit;

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    Cited by:
    1. Masiero, Lorenzo & Hensher, David A., 2010. "Analyzing loss aversion and diminishing sensitivity in a freight transport stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 349-358, June.
    2. Mohammed Alemu & Morten Mørkbak & Søren Olsen & Carsten Jensen, 2013. "Attending to the Reasons for Attribute Non-attendance in Choice Experiments," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 54(3), pages 333-359, March.
    3. Andrew Collins & John Rose & Stephane Hess, 2012. "Interactive stated choice surveys: a study of air travel behaviour," Transportation, Springer, vol. 39(1), pages 55-79, January.
    4. Stephane Hess & David Hensher, 2013. "Making use of respondent reported processing information to understand attribute importance: a latent variable scaling approach," Transportation, Springer, vol. 40(2), pages 397-412, February.
    5. Campbell, Danny & Hensher, David A. & Scarpa, Riccardo, 2012. "Cost thresholds, cut-offs and sensitivities in stated choice analysis: Identification and implications," Resource and Energy Economics, Elsevier, vol. 34(3), pages 396-411.
    6. Hole, Arne Risa & Kolstad, Julie Riise & Gyrd-Hansen, Dorte, 2013. "Inferred vs. stated attribute non-attendance in choice experiments: A study of doctors’ prescription behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 21-31.
    7. Søren Olsen & Thomas Lundhede & Jette Jacobsen & Bo Thorsen, 2011. "Tough and Easy Choices: Testing the Influence of Utility Difference on Stated Certainty-in-Choice in Choice Experiments," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 49(4), pages 491-510, August.
    8. David Hensher & David Layton, 2010. "Parameter transfer of common-metric attributes in choice analysis: implications for willingness to pay," Transportation, Springer, vol. 37(3), pages 473-490, May.
    9. Stephane Hess & Amanda Stathopoulos & Danny Campbell & Vikki O’Neill & Sebastian Caussade, 2013. "It’s not that I don’t care, I just don’t care very much: confounding between attribute non-attendance and taste heterogeneity," Transportation, Springer, vol. 40(3), pages 583-607, May.

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