IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v132y2020icp1-17.html
   My bibliography  Save this article

Do changes in travellers’ attitudes towards car use and ownership over time affect travel mode choice? A latent transition approach in the Netherlands

Author

Listed:
  • Olde Kalter, Marie-José
  • La Paix Puello, Lissy
  • Geurs, Karst T.

Abstract

This paper examines how changes in travellers’ attitudes towards car use and ownership change over time and how these changes influence car use, based on the 2014 and 2016 waves of the Netherlands Mobility Panel (N = 1640). A latent transition model was estimated to investigate transitions between different segments based on travellers’ attitudes towards car use and ownership, and the latent transition probabilities were used to predict changes in mode use. Four latent classes were found to reflect the participants’ attitudes: cost-sensitive, car-minded, environmentally aware and social-conscious travellers. Most of the participants remained in the same class between 2014 and 2016, which suggests that attitudes towards car use and ownership are stable over time. Also, the results indicate that car use and car ownership may be less widespread among younger adults. Only when younger adults face life events, such as moving, starting a job or become parents, transitioning to more car-oriented profiles appears more likely. Changes in attitudes towards car use and car ownership do not significantly affect car use (number of trips per day), except for the social-conscious travellers who switched to the car-minded class. This suggests that, in most cases, a more positive or negative attitude towards car use and ownership does not directly affect the frequency of car use.

Suggested Citation

  • Olde Kalter, Marie-José & La Paix Puello, Lissy & Geurs, Karst T., 2020. "Do changes in travellers’ attitudes towards car use and ownership over time affect travel mode choice? A latent transition approach in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 1-17.
    • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:1-17
    DOI: 10.1016/j.tra.2019.10.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856418313673
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2019.10.015?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. de Jong, Gerard & Gunn, Hugh & Ben-Akiva, Moshe, 2004. "A meta-model for passenger and freight transport in Europe," Transport Policy, Elsevier, vol. 11(4), pages 329-344, October.
    2. Rau, Henrike & Manton, Richard, 2016. "Life events and mobility milestones: Advances in mobility biography theory and research," Journal of Transport Geography, Elsevier, vol. 52(C), pages 51-60.
    3. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
    6. Tobias Kuhnimhof & Jimmy Armoogum & Ralph Buehler & Joyce Dargay & Jon Martin Denstadli & Toshiyuki Yamamoto, 2012. "Men Shape a Downward Trend in Car Use among Young Adults—Evidence from Six Industrialized Countries," Transport Reviews, Taylor & Francis Journals, vol. 32(6), pages 761-779, September.
    7. 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.
    8. Jianxi Feng & Martin Dijst & Bart Wissink & Jan Prillwitz, 2014. "Understanding Mode Choice in the Chinese Context: The Case of Nanjing Metropolitan Area," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(3), pages 315-330, July.
    9. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7ng2z24q, University of California Transportation Center.
    10. Prillwitz, Jan & Barr, Stewart, 2011. "Moving towards sustainability? Mobility styles, attitudes and individual travel behaviour," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1590-1600.
    11. Klein, Nicholas J. & Smart, Michael J., 2017. "Millennials and car ownership: Less money, fewer cars," Transport Policy, Elsevier, vol. 53(C), pages 20-29.
    12. Tobias Kuhnimhof & Dirk Zumkeller & Bastian Chlond, 2013. "Who Made Peak Car, and How? A Breakdown of Trends over Four Decades in Four Countries," Transport Reviews, Taylor & Francis Journals, vol. 33(3), pages 325-342, May.
    13. Kroesen, Maarten, 2014. "Modeling the behavioral determinants of travel behavior: An application of latent transition analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 56-67.
    14. de Haas, M.C. & Scheepers, C.E. & Harms, L.W.J. & Kroesen, M., 2018. "Travel pattern transitions: Applying latent transition analysis within the mobility biographies framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 140-151.
    15. La Paix Puello, Lissy & Olde-Kalter, Marie-José & Geurs, Karst T., 2017. "Measurement of non-random attrition effects on mobility rates using trip diaries data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 51-64.
    16. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    17. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7nq9p0cv, University of California Transportation Center.
    18. Kroesen, Maarten & Handy, Susan & Chorus, Caspar, 2017. "Do attitudes cause behavior or vice versa? An alternative conceptualization of the attitude-behavior relationship in travel behavior modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 190-202.
    19. Hwan Chung & James C. Anthony & Joseph L. Schafer, 2011. "Latent class profile analysis: an application to stage sequential processes in early onset drinking behaviours," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 689-712, July.
    20. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    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. Haustein, Sonja & Kroesen, Maarten, 2022. "Shifting to more sustainable mobility styles: A latent transition approach," Journal of Transport Geography, Elsevier, vol. 103(C).
    2. Faber, R.M. & de Haas, M.C. & Molin, E.J.E. & Kroesen, M., 2024. "Investigating changes in within-person effects between attitudes and travel behaviour during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    3. Gao, Jie & He, Sylvia Y. & Ettema, Dick & Helbich, Marco, 2023. "Travel behavior changes due to life events: Longitudinal evidence from Dutch couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    4. Strömblad, Emma, 2024. "Identifying mobility segments for leisure travel: A cluster analysis based on a one-month travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(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. Danique Ton & Lara-Britt Zomer & Florian Schneider & Sascha Hoogendoorn-Lanser & Dorine Duives & Oded Cats & Serge Hoogendoorn, 2020. "Latent classes of daily mobility patterns: the relationship with attitudes towards modes," Transportation, Springer, vol. 47(4), pages 1843-1866, August.
    2. Timmer, Sebastian & Merfeld, Katrin & Henkel, Sven, 2023. "Exploring motivations for multimodal commuting: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    3. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    4. Klinger, Thomas, 2017. "Moving from monomodality to multimodality? Changes in mode choice of new residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 221-237.
    5. Haustein, Sonja & Kroesen, Maarten, 2022. "Shifting to more sustainable mobility styles: A latent transition approach," Journal of Transport Geography, Elsevier, vol. 103(C).
    6. Nash, Sean & Mitra, Raktim, 2019. "University students' transportation patterns, and the role of neighbourhood types and attitudes," Journal of Transport Geography, Elsevier, vol. 76(C), pages 200-211.
    7. Yongsung Lee & Giovanni Circella & Patricia L. Mokhtarian & Subhrajit Guhathakurta, 2020. "Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California," Transportation, Springer, vol. 47(5), pages 2505-2528, October.
    8. Julia Janke & Calvin G. Thigpen & Susan Handy, 2021. "Examining the effect of life course events on modality type and the moderating influence of life stage," Transportation, Springer, vol. 48(2), pages 1089-1124, April.
    9. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour," Transportation, Springer, vol. 45(3), pages 789-825, May.
    10. Vij, Akshay & Gorripaty, Sreeta & Walker, Joan L., 2017. "From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 238-258.
    11. Groth, Sören, 2019. "Multimodal divide: Reproduction of transport poverty in smart mobility trends," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 56-71.
    12. 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.
    13. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    14. Kim, Sung Hoo & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "Identifying latent mode-use propensity segments in an all-AV era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 192-207.
    15. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    16. Strömblad, Emma, 2024. "Identifying mobility segments for leisure travel: A cluster analysis based on a one-month travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    17. Chenfeng Xiong & Lei Zhang, 2017. "Dynamic travel mode searching and switching analysis considering hidden model preference and behavioral decision processes," Transportation, Springer, vol. 44(3), pages 511-532, May.
    18. Silm, Siiri & Tominga, Ago & Saidla, Karl & Poom, Age & Tammaru, Tiit, 2024. "Socio-economic and residential differences in urban modality styles based on a long-term smartphone experiment," Journal of Transport Geography, Elsevier, vol. 115(C).
    19. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.
    20. Große, Juliane & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Fertner, Christian, 2018. "Exploring the role of daily “modality styles” and urban structure in holidays and longer weekend trips: Travel behaviour of urban and peri-urban residents in Greater Copenhagen," Journal of Transport Geography, Elsevier, vol. 69(C), pages 138-149.

    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:transa:v:132:y:2020:i:c:p:1-17. 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/547/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.