IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v95y2016icp164-176.html
   My bibliography  Save this article

Experience conditioning in commuter modal choice modelling – Does it make a difference?

Author

Listed:
  • Hensher, David A.
  • Ho, Chinh Q.

Abstract

This paper investigates the impact of decision maker’s experience on model elasticities and predicted market share, using data collected in Sydney on commuter mode choice. Usage frequency is used as a proxy for experience and two separate mode choice models are estimated – one with experience conditioning choice and one without. Key model outputs are compared and we find that differences in the value of travel time savings and model elasticities are very marked. This suggests that ignoring experience that one has with each alternative in their choice set may be a candidate source of error in travel demand forecasts. We develop a method to obtain the level of experience for use in application of choice models to increase their prediction power.

Suggested Citation

  • Hensher, David A. & Ho, Chinh Q., 2016. "Experience conditioning in commuter modal choice modelling – Does it make a difference?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 164-176.
  • Handle: RePEc:eee:transe:v:95:y:2016:i:c:p:164-176
    DOI: 10.1016/j.tre.2016.09.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136655451630237X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2016.09.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Neuman, Tzahi & Neuman, Einat & Neuman, Shoshana, 2010. "Explorations of the effect of experience on preferences for a health-care service," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(3), pages 407-419, June.
    2. 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.
    3. Swait, Joffre & Adamowicz, Wiktor, 2001. "Choice Environment, Market Complexity, and Consumer Behavior: A Theoretical and Empirical Approach for Incorporating Decision Complexity into Models of Consumer Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(2), pages 141-167, November.
    4. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, September.
    5. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    6. Eran Ben-Elia & Ido Erev & Yoram Shiftan, 2008. "The combined effect of information and experience on drivers’ route-choice behavior," Transportation, Springer, vol. 35(2), pages 165-177, March.
    7. Hess, Stephane & Rose, John M. & Hensher, David A., 2008. "Asymmetric preference formation in willingness to pay estimates in discrete choice models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 847-863, September.
    8. Mandy Ryan & Cristina Ubach, 2003. "Testing for an experience endowment effect in health care," Applied Economics Letters, Taylor & Francis Journals, vol. 10(7), pages 407-410.
    9. David A. Hensher & John M. Rose, 2012. "The Influence of Alternative Acceptability, Attribute Thresholds and Choice Response Certainty on Automobile Purchase Preferences," Journal of Transport Economics and Policy, University of Bath, vol. 46(3), pages 451-468, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. David A. Hensher & Camila Balbontin & William H. Greene & Joffre Swait, 2021. "Experience as a conditioning effect on choice: Does it matter whether it is exogenous or endogenous?," Transportation, Springer, vol. 48(5), pages 2825-2855, October.
    2. Timmer, Sebastian & Bösehans, Gustav & Henkel, Sven, 2023. "Behavioural norms or personal gains? – An empirical analysis of commuters‘ intention to switch to multimodal mobility behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    3. John Buckell & David A Hensher & Stephane Hess, 2021. "Kicking the habit is hard: A hybrid choice model investigation into the role of addiction in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 3-19, January.
    4. Ho, Chinh Q. & Hensher, David A. & Mulley, Corinne & Wong, Yale Z., 2018. "Potential uptake and willingness-to-pay for Mobility as a Service (MaaS): A stated choice study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 302-318.
    5. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.
    6. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Integrating attribute non-attendance and value learning with risk attitudes and perceptual conditioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 172-191.
    7. Ho, Chinh Q. & Mulley, Corinne & Hensher, David A., 2020. "Public preferences for mobility as a service: Insights from stated preference surveys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 70-90.
    8. Mulley, Corinne & Ho, Chinh & Balbontin, Camila & Hensher, David & Stevens, Larissa & Nelson, John D. & Wright, Steve, 2020. "Mobility as a service in community transport in Australia: Can it provide a sustainable future?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 107-122.
    9. Hensher, David A. & Ho, Chinh Q. & Liu, Wen, 2016. "How much is too much for tolled road users: Toll saturation and the implications for car commuting value of travel time savings?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 604-621.
    10. Camila Balbontin & David A. Hensher & Chinh Ho & Corinne Mulley, 2020. "Do preferences for BRT and LRT change as a voter, citizen, tax payer, or self-interested resident?," Transportation, Springer, vol. 47(6), pages 2981-3030, December.
    11. Ton, Danique & Bekhor, Shlomo & Cats, Oded & Duives, Dorine C. & Hoogendoorn-Lanser, Sascha & Hoogendoorn, Serge P., 2020. "The experienced mode choice set and its determinants: Commuting trips in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 744-758.
    12. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2019. "How to better represent preferences in choice models: The contributions to preference heterogeneity attributable to the presence of process heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 218-248.
    13. Luo, Rachel & Fan, Yichun & Yang, Xin & Zhao, Jinhua & Zheng, Siqi, 2021. "The impact of social externality information on fostering sustainable travel mode choice: A behavioral experiment in Zhengzhou, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 127-145.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hensher, David A. & Ho, Chinh Q. & Liu, Wen, 2016. "How much is too much for tolled road users: Toll saturation and the implications for car commuting value of travel time savings?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 604-621.
    2. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.
    3. Boxall, Peter C. & Adamowicz, Wiktor L. & Moon, Amanda, 2009. "Complexity in choice experiments: choice of the status quo alternative and implications for welfare measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-17.
    4. Moser, Riccarda & Raffaelli, Roberta, 2014. "Does attribute cut-off elicitation affect choice consistency? Contrasting hypothetical and real-money choice experiments," Journal of choice modelling, Elsevier, vol. 11(C), pages 16-29.
    5. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Integrating attribute non-attendance and value learning with risk attitudes and perceptual conditioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 172-191.
    6. Saelensminde, Kjartan, 2006. "Causes and consequences of lexicographic choices in stated choice studies," Ecological Economics, Elsevier, vol. 59(3), pages 331-340, September.
    7. Marit Kragt & Jeffrey Bennett, 2012. "Attribute Framing in Choice Experiments: How Do Attribute Level Descriptions Affect Value Estimates?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(1), pages 43-59, January.
    8. Mokas, Ilias & Lizin, Sebastien & Brijs, Tom & Witters, Nele & Malina, Robert, 2021. "Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    9. Ruokamo, Enni & Kopsakangas-Savolainen, Maria & Meriläinen, Teemu & Svento, Rauli, 2019. "Towards flexible energy demand – Preferences for dynamic contracts, services and emissions reductions," Energy Economics, Elsevier, vol. 84(C).
    10. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2019. "How to better represent preferences in choice models: The contributions to preference heterogeneity attributable to the presence of process heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 218-248.
    11. Ho, Chinh Q. & Mulley, Corinne & Hensher, David A., 2020. "Public preferences for mobility as a service: Insights from stated preference surveys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 70-90.
    12. David J. Mott & Laura Ternent & Luke Vale, 2023. "Do preferences differ based on respondent experience of a health issue and its treatment? A case study using a public health intervention," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 413-423, April.
    13. Erlend Dancke Sandorf & Danny Campbell, 2019. "Accommodating satisficing behaviour in stated choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(1), pages 133-162.
    14. Du, Hua & Han, Qi & de Vries, Bauke & Sun, Jun, 2024. "Community solar PV adoption in residential apartment buildings: A case study on influencing factors and incentive measures in Wuhan," Applied Energy, Elsevier, vol. 354(PA).
    15. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
    16. Nicolas Jacquemet & Stephane Luchini & Jason Shogren & Verity Watson, 2019. "Discrete Choice under Oaths," Post-Print halshs-02136103, HAL.
    17. Emmanouil Mentzakis & Mandy Ryan & Paul McNamee, 2011. "Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 930-944, August.
    18. Scheufele, Gabriela & Bennett, Jeffrey W., 2010. "Ordering effects and strategic response in discrete choice experiments," Research Reports 107743, Australian National University, Environmental Economics Research Hub.
    19. David A. Hensher & Chinh Ho & Matthew J. Beck, 2017. "A simplified and practical alternative way to recognise the role of household characteristics in determining an individual’s preferences: the case of automobile choice," Transportation, Springer, vol. 44(1), pages 225-240, January.
    20. Sobolewski, Maciej & Czajkowski, Mikołaj, 2018. "Receiver benefits and strategic use of call externalities in mobile telephony markets," Information Economics and Policy, Elsevier, vol. 44(C), pages 16-27.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:95:y:2016:i:c:p:164-176. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.