IDEAS home Printed from https://ideas.repec.org/a/eee/touman/v43y2014icp105-118.html
   My bibliography  Save this article

Vacation behaviour under high travel cost conditions – A stated preference of revealed preference approach

Author

Listed:
  • van Cranenburgh, S.
  • Chorus, C.G.
  • van Wee, B.

Abstract

This paper investigates vacation behaviour under high travel cost conditions. We estimate discrete portfolio vacation choice models on data obtained in a novel free format Stated Preference of Revealed Preference (SP-off-RP) choice experiment. The substantive contribution of this paper is that we develop new insights into vacation behaviour under high travel cost conditions. We find that vacationers exhibit considerable diminishing marginal disutility of vacation travel costs. Furthermore, we have identified significant interactions effects across the following vacation choice dimensions: destination, length of stay, accommodation type and mode of transport. Therefore, a substantial increase in travel costs is likely to have marked consequences for the tourism industry – reaching beyond the transportation side of tourism. Methodological contributions of this paper are twofold: 1) it proposes a choice experiment in which SP alternatives are constructed by pivoting of late consideration set alternatives, rather than only of a chosen alternative, and 2) it proposes, and illustrates the use of, a generalization of a recently proposed SP-off-RP estimation procedure.

Suggested Citation

  • van Cranenburgh, S. & Chorus, C.G. & van Wee, B., 2014. "Vacation behaviour under high travel cost conditions – A stated preference of revealed preference approach," Tourism Management, Elsevier, vol. 43(C), pages 105-118.
    • Handle: RePEc:eee:touman:v:43:y:2014:i:c:p:105-118
    DOI: 10.1016/j.tourman.2014.01.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0261517714000235
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.tourman.2014.01.022?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
    ---><---

    References listed on IDEAS

    as
    1. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    2. Brownstone, David & Small, Kenneth A., 2005. "Valuing time and reliability: assessing the evidence from road pricing demonstrations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 279-293, May.
    3. Hensher, David A., 2006. "Towards a practical method to establish comparable values of travel time savings from stated choice experiments with differing design dimensions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 829-840, December.
    4. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    5. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    6. Williams, H. C. W. L. & Ortuzar, J. D., 1982. "Behavioural theories of dispersion and the mis-specification of travel demand models," Transportation Research Part B: Methodological, Elsevier, vol. 16(3), pages 167-219, June.
    7. Greene, William, 2010. "Testing hypotheses about interaction terms in nonlinear models," Economics Letters, Elsevier, vol. 107(2), pages 291-296, May.
    8. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
    9. Hirsch, Robert L., 2008. "Mitigation of maximum world oil production: Shortage scenarios," Energy Policy, Elsevier, vol. 36(2), pages 881-889, February.
    10. Wu, Lingling & Zhang, Junyi & Chikaraishi, Makoto, 2013. "Representing the influence of multiple social interactions on monthly tourism participation behavior," Tourism Management, Elsevier, vol. 36(C), pages 480-489.
    11. Curtis, Fred, 2009. "Peak globalization: Climate change, oil depletion and global trade," Ecological Economics, Elsevier, vol. 69(2), pages 427-434, December.
    12. Sgouridis, Sgouris & Bonnefoy, Philippe A. & Hansman, R. John, 2011. "Air transportation in a carbon constrained world: Long-term dynamics of policies and strategies for mitigating the carbon footprint of commercial aviation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1077-1091.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    14. Twan Huybers, 2003. "Modelling Short-Break Holiday Destination Choices," Tourism Economics, , vol. 9(4), pages 389-405, December.
    15. Schiff, Aaron & Becken, Susanne, 2011. "Demand elasticity estimates for New Zealand tourism," Tourism Management, Elsevier, vol. 32(3), pages 564-575.
    16. Grigolon, Anna B. & Kemperman, Astrid D.A.M. & Timmermans, Harry J.P., 2012. "The influence of low-fare airlines on vacation choices of students: Results of a stated portfolio choice experiment," Tourism Management, Elsevier, vol. 33(5), pages 1174-1184.
    17. Krumdieck, Susan & Page, Shannon & Dantas, André, 2010. "Urban form and long-term fuel supply decline: A method to investigate the peak oil risks to essential activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 306-322, June.
    18. Njegovan, Nenad, 2006. "Elasticities of demand for leisure air travel: A system modelling approach," Journal of Air Transport Management, Elsevier, vol. 12(1), pages 33-39.
    19. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    20. Sander Van Cranenburgh & Caspar Chorus & Bert Van Wee, 2012. "Substantial Changes and Their Impact on Mobility: A Typology and an Overview of the Literature," Transport Reviews, Taylor & Francis Journals, vol. 32(5), pages 569-597, June.
    21. Davis, Harry L & Rigaux, Benny P, 1974. "Perception of Marital Roles in Decision Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 1(1), pages 51-62, June.
    22. Stephane Hess & John Rose, 2009. "Should Reference Alternatives in Pivot Design SC Surveys be Treated Differently?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 297-317, March.
    23. Anas, Alex & Feng, Cheng Min, 1988. "Invariance of expected utilities in logit models," Economics Letters, Elsevier, vol. 27(1), pages 41-45.
    24. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    25. 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.
    26. Becken, Susanne & Lennox, James, 2012. "Implications of a long-term increase in oil prices for tourism," Tourism Management, Elsevier, vol. 33(1), pages 133-142.
    27. Train, Kenneth & Wilson, Wesley W., 2008. "Estimation on stated-preference experiments constructed from revealed-preference choices," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 191-203, March.
    28. Aftabuzzaman, Md & Mazloumi, Ehsan, 2011. "Achieving sustainable urban transport mobility in post peak oil era," Transport Policy, Elsevier, vol. 18(5), pages 695-702, September.
    29. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    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. 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).
    2. Wang, Bobin & Shao, Chunfu & Li, Juan & Weng, Jinxian & Ji, Xun, 2015. "Holiday travel behavior analysis and empirical study under integrated multimodal travel information service," Transport Policy, Elsevier, vol. 39(C), pages 21-36.
    3. Chang-jun Cai & En-jian Yao & Sha-sha Liu & Yong-sheng Zhang & Jun Liu, 2015. "Holiday Destination Choice Behavior Analysis Based on AFC Data of Urban Rail Transit," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-7, February.
    4. David Boto-García & Petr Mariel & José Baños Pino & Antonio Alvarez, 2022. "Tourists’ willingness to pay for holiday trip characteristics: A Discrete Choice Experiment," Tourism Economics, , vol. 28(2), pages 349-370, March.
    5. Melinda Matyas & Maria Kamargianni, 2019. "Survey design for exploring demand for Mobility as a Service plans," Transportation, Springer, vol. 46(5), pages 1525-1558, October.
    6. Caspar G Chorus, 2018. "Paving the way towards superstar destinations: Models of convex demand for quality," Environment and Planning B, , vol. 45(1), pages 161-179, January.
    7. van Cranenburgh, Sander & Guevara, Cristian Angelo & Chorus, Caspar G., 2015. "New insights on random regret minimization models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 91-109.
    8. Guevara, C. Angelo & Hess, Stephane, 2019. "A control-function approach to correct for endogeneity in discrete choice models estimated on SP-off-RP data and contrasts with an earlier FIML approach by Train & Wilson," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 224-239.
    9. Kim, Eui-Jin & Kim, Youngseo & Jang, Sunghoon & Kim, Dong-Kyu, 2021. "Tourists’ preference on the combination of travel modes under Mobility-as-a-Service environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 236-255.
    10. Sander van Cranenburgh & Francisco Garrido-Valenzuela, 2023. "Computer vision-enriched discrete choice models, with an application to residential location choice," Papers 2308.08276, arXiv.org.
    11. Han, Yan & Zhang, Tiantian & Wang, Meng, 2020. "Holiday travel behavior analysis and empirical study with Integrated Travel Reservation Information usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 130-151.
    12. Kemperman, Astrid, 2021. "A review of research into discrete choice experiments in tourism: Launching the Annals of Tourism Research Curated Collection on Discrete Choice Experiments in Tourism," Annals of Tourism Research, Elsevier, vol. 87(C).

    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. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    2. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    3. 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).
    4. Haghani, Milad & Sarvi, Majid, 2018. "Hypothetical bias and decision-rule effect in modelling discrete directional choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 361-388.
    5. Train, Kenneth & Wilson, Wesley W., 2008. "Estimation on stated-preference experiments constructed from revealed-preference choices," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 191-203, March.
    6. 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.
    7. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    8. Lüthi, Sonja & Wüstenhagen, Rolf, 2012. "The price of policy risk — Empirical insights from choice experiments with European photovoltaic project developers," Energy Economics, Elsevier, vol. 34(4), pages 1001-1011.
    9. Kosenius, Anna-Kaisa, 2013. "Preference discontinuity in choice experiment: Determinants and implications," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 138-145.
    10. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    11. Probst, Lorenz & Houedjofonon, Elysée & Ayerakwa, Hayford Mensah & Haas, Rainer, 2012. "Will they buy it? The potential for marketing organic vegetables in the food vending sector to strengthen vegetable safety: A choice experiment study in three West African cities," Food Policy, Elsevier, vol. 37(3), pages 296-308.
    12. Wicker, Pamela & Becken, Susanne, 2013. "Conscientious vs. ambivalent consumers: Do concerns about energy availability and climate change influence consumer behaviour?," Ecological Economics, Elsevier, vol. 88(C), pages 41-48.
    13. Kragt, Marit Ellen & Llewellyn, Rick S., 2013. "Using choice experiments to improve the design of weed decision support tools," Working Papers 147031, University of Western Australia, School of Agricultural and Resource Economics.
    14. Jason Soria & Shelly Etzioni & Yoram Shiftan & Amanda Stathopoulos & Eran Ben-Elia, 2022. "Microtransit adoption in the wake of the COVID-19 pandemic: evidence from a choice experiment with transit and car commuters," Papers 2204.01974, arXiv.org.
    15. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    16. Morten Mørkbak & Tove Christensen & Dorte Gyrd-Hansen, 2010. "Choke Price Bias in Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(4), pages 537-551, April.
    17. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    18. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    19. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    20. Roy Brouwer & Solomon Tarfasa, 2020. "Testing hypothetical bias in a framed field experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 343-357, September.

    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:touman:v:43:y:2014:i:c:p:105-118. 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: https://www.journals.elsevier.com/tourism-management .

    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.