IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v18y2011i4p595-603.html
   My bibliography  Save this article

Travel using managed lanes: An application of a stated choice model for Houston, Texas

Author

Listed:
  • Patil, Sunil
  • Burris, Mark
  • Douglass Shaw, W.

Abstract

Managed lane (ML) travel adds flexibility, but also complexity, to travel choices. Stated choice models (SCMs) are often used for modeling complex transportation choices such as these in an effort to predict demand for these travel options. The design methods for SCMs have evolved from simple orthogonal designs to more sophisticated designs such as D-efficient design that can increase efficiency in estimation. We used three different survey design strategies to produce the stated preference portion of surveys, which were used to elicit travel choices for a sample of Houston travelers. Apart from the D-efficient design we also used random and adaptive random designs to generate attribute levels. There were observable differences in choice behavior depending on what design strategy was used. These differences appear to influence estimates of the value of travel time savings (VTTS) obtained from the random parameter logit (RPL) models estimated using these data. This, in turn, would greatly impact the percentage of travelers predicted to use the MLs. The adaptive random strategy was superior to the other design methods in several categories, and it had similar efficiency to the D-efficient design. However, the mean of VTTS estimate obtained from a D-efficient design was closer to what is typically found in the literature. The difference was considerable and could greatly influence traffic and revenue estimates for the MLs, illustrating the importance of the survey design strategy.

Suggested Citation

  • Patil, Sunil & Burris, Mark & Douglass Shaw, W., 2011. "Travel using managed lanes: An application of a stated choice model for Houston, Texas," Transport Policy, Elsevier, vol. 18(4), pages 595-603, August.
    • Handle: RePEc:eee:trapol:v:18:y:2011:i:4:p:595-603
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X11000382
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    2. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    3. Donna Dosman & Wiktor Adamowicz, 2006. "Combining Stated and Revealed Preference Data to Construct an Empirical Examination of Intrahousehold Bargaining," Review of Economics of the Household, Springer, vol. 4(1), pages 15-34, March.
    4. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(4), pages 1-9, January.
    5. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
    6. Jayson L. Lusk & Ted C. Schroeder, 2004. "Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 467-482.
    7. Ricardo Scarpa & Mara Thiene & Kenneth Train, 2006. "Utility in WTP Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," Working Papers in Economics 06/15, University of Waikato.
    8. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    9. Richard C. Ready & Patricia A. Champ & Jennifer L. Lawton, 2010. "Using Respondent Uncertainty to Mitigate Hypothetical Bias in a Stated Choice Experiment," Land Economics, University of Wisconsin Press, vol. 86(2), pages 363-381.
    10. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    11. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
    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. Devarasetty, Prem Chand & Burris, Mark & Douglass Shaw, W., 2012. "The value of travel time and reliability-evidence from a stated preference survey and actual usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1227-1240.
    2. Wen Jin & Hai Jiang & Yimin Liu & Erica Klampfl, 2017. "Do labeled versus unlabeled treatments of alternatives’ names influence stated choice outputs? Results from a mode choice study," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-24, August.

    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. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    2. Ladenburg, Jacob & Skotte, Maria, 2022. "Heterogeneity in willingness to pay for the location of offshore wind power development: An application of the willingness to pay space model," Energy, Elsevier, vol. 241(C).
    3. Mohammed H. Alemu & Søren B. Olsen, 2017. "Can a Repeated Opt-Out Reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," IFRO Working Paper 2017/05, University of Copenhagen, Department of Food and Resource Economics.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    5. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    6. Mohammed Hussen Alemu & Søren Bøye Olsen, 2020. "An analysis of the impacts of tasting experience and peer effects on consumers’ willingness to pay for novel foods," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 653-674, October.
    7. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    8. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    9. Liebe, Ulf & Glenk, Klaus & von Meyer-Höfer, Marie & Spiller, Achim, 2019. "A web survey application of real choice experiments," Journal of choice modelling, Elsevier, vol. 33(C).
    10. Ballco, Petjon & Gracia, Azucena, 2020. "Do market prices correspond with consumer demands? Combining market valuation and consumer utility for extra virgin olive oil quality attributes in a traditional producing country," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    11. Menapace, Luisa & Raffaelli, Roberta, 2020. "Unraveling hypothetical bias in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 416-430.
    12. Araña, Jorge E. & León, Carmelo J., 2013. "Dynamic hypothetical bias in discrete choice experiments: Evidence from measuring the impact of corporate social responsibility on consumers demand," Ecological Economics, Elsevier, vol. 87(C), pages 53-61.
    13. Penn, Jerrod & Hu, Wuyang, 2017. "The Presence of Hypothetical Bias within Spatial Decay and Charismatic Species: An Application of Monarch and Viceroy Butterflies," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258204, Agricultural and Applied Economics Association.
    14. de-Magistris, Tiziana & Pascucci, Stefano, 2014. "The effect of the solemn oath script in hypothetical choice experiment survey: A pilot study," Economics Letters, Elsevier, vol. 123(2), pages 252-255.
    15. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    16. Richard C. Bishop & Kevin J. Boyle, 2019. "Reliability and Validity in Nonmarket Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 559-582, February.
    17. Emmanouil Mentzakis & Jingjing Zhang, 2012. "An investigation of individual preferences: consistency across incentives and stability over time," ECON - Working Papers 070, Department of Economics - University of Zurich.
    18. Mara Thiene & Riccardo Scarpa, 2009. "Deriving and Testing Efficient Estimates of WTP Distributions in Destination Choice Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(3), pages 379-395, November.
    19. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    20. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.

    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:trapol:v:18:y:2011:i:4:p:595-603. 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/30473/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.