IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v47y2020i5d10.1007_s11116-019-10026-6.html
   My bibliography  Save this article

Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California

Author

Listed:
  • Yongsung Lee

    (Georgia Institute of Technology)

  • Giovanni Circella

    (Georgia Institute of Technology
    University of California)

  • Patricia L. Mokhtarian

    (University of California)

  • Subhrajit Guhathakurta

    (Georgia Institute of Technology)

Abstract

Millennials tend to use a variety of travel modes more often than older birth cohorts. Two potential explanations for this phenomenon prevail in the literature. According to the first explanation, millennials often choose travel multimodality at least in part because of the effects of the economic crisis, which affected young adults more severely than their older counterparts. Another explanation points to the fact that millennials may have fundamentally different preferences from those of older birth cohorts. This paper presents an examination of millennials’ travel behavior as compared to the preceding Generation X, based on a survey of 1069 California commuters. It shows that millennials adopt multimodality more often than Gen Xers, on average. However, the analysis also points to substantial heterogeneity among millennials and indicates that, perhaps contrary to expectations and the stereotype in the media, the majority of millennials are monomodal drivers in California. The paper contributes to the literature on millennials’ mobility in several ways. First, it rigorously classifies various forms of travel multimodality (on a monthly basis and distinctively taking trip purpose into account) through the analysis of a rich dataset that includes individual attitudes and preferences; second, it explores gradual changes of multimodality across age and generation; and third, it analyzes the effects of various demographic, built environment, and attitudinal attributes on the adoption of multimodality.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:transp:v:47:y:2020:i:5:d:10.1007_s11116-019-10026-6
    DOI: 10.1007/s11116-019-10026-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-019-10026-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11116-019-10026-6?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. Victor Couture & Jessie Handbury, 2017. "Urban Revival in America, 2000 to 2010," NBER Working Papers 24084, National Bureau of Economic Research, Inc.
    2. Adam Millsap, 2018. "Location choice in early adulthood: Millennials versus Baby Boomers," Papers in Regional Science, Wiley Blackwell, vol. 97(S1), pages 139-167, March.
    3. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    4. 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.
    5. Circella, Giovanni & Tiedeman, Kate & Handy, Susan & Alemi, Farzad & Mokhtarian, Patricia, 2016. "What Affects Millennials’ Mobility? Part I: Investigating the Environmental Concerns, Lifestyles, Mobility-Related Attitudes and Adoption of Technology of Young Adults in California," Institute of Transportation Studies, Working Paper Series qt6wm51523, Institute of Transportation Studies, UC Davis.
    6. 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.
    7. 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.
    8. Robert Schlich & Kay Axhausen, 2003. "Habitual travel behaviour: Evidence from a six-week travel diary," Transportation, Springer, vol. 30(1), pages 13-36, February.
    9. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    10. Salon, Deborah, 2015. "Heterogeneity in the relationship between the built environment and driving: Focus on neighborhood type and travel purpose," Research in Transportation Economics, Elsevier, vol. 52(C), pages 34-45.
    11. 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.
    12. Scheiner, Joachim & Chatterjee, Kiron & Heinen, Eva, 2016. "Key events and multimodality: A life course approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 148-165.
    13. Higgins, Christopher D. & Kanaroglou, Pavlos S., 2016. "A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region," Journal of Transport Geography, Elsevier, vol. 52(C), pages 61-72.
    14. Hopkins, Debbie, 2016. "Can environmental awareness explain declining preference for car-based mobility amongst generation Y? A qualitative examination of learn to drive behaviours," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 149-163.
    15. Alexa Delbosc & Graham Currie, 2013. "Causes of Youth Licensing Decline: A Synthesis of Evidence," Transport Reviews, Taylor & Francis Journals, vol. 33(3), pages 271-290, May.
    16. Klein, Nicholas J. & Smart, Michael J., 2017. "Millennials and car ownership: Less money, fewer cars," Transport Policy, Elsevier, vol. 53(C), pages 20-29.
    17. Peter Stopher & Camden FitzGerald & Min Xu, 2007. "Assessing the accuracy of the Sydney Household Travel Survey with GPS," Transportation, Springer, vol. 34(6), pages 723-741, November.
    18. Van Exel, N.J.A. & Rietveld, P., 2009. "Could you also have made this trip by another mode? An investigation of perceived travel possibilities of car and train travellers on the main travel corridors to the city of Amsterdam, The Netherland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 374-385, May.
    19. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    20. Blumenberg, Evelyn & Ralph, Kelcie & Smart, Michael & Taylor, Brian D., 2016. "Who knows about kids these days? Analyzing the determinants of youth and adult mobility in the U.S. between 1990 and 2009," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 39-54.
    21. 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. Dai, Jingchen & Wang, Xiaokun Cara & Ma, Wenxin & Li, Ruimin, 2023. "Future transport vision propensity segments: A latent class analysis of autonomous taxi market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    2. Kailai Wang, 2023. "Are Generation Z Less Car-centric Than Millennials? A Nationwide Analysis Through the Lens of Youth Licensing," Papers 2310.04906, arXiv.org.
    3. Hauslbauer, Andrea L. & Schade, Jens & Petzoldt, Tibor, 2022. "The identification of mobility types on a national level," Transport Policy, Elsevier, vol. 125(C), pages 289-298.
    4. Shaila Jamal & K. Bruce Newbold & Darren M. Scott, 2023. "Developing a typology of daily travelers based on transportation attitudes: Application of latent class analysis using a survey of millennials and older adults in Hamilton, Ontario," Growth and Change, Wiley Blackwell, vol. 54(4), pages 870-884, December.
    5. Kriswardhana, Willy & Esztergár-Kiss, Domokos, 2023. "Exploring the aspects of MaaS adoption based on college students’ preferences," Transport Policy, Elsevier, vol. 136(C), pages 113-125.
    6. 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.
    7. Marco De Angelis & Luca Mantecchini & Luca Pietrantoni, 2021. "A Cluster Analysis of University Commuters: Attitudes, Personal Norms and Constraints, and Travel Satisfaction," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    8. Rafiq, Rezwana & McNally, Michael G., 2021. "Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 1-18.
    9. Zidan Mao & Fangyu Liu & Ying Zhao, 2023. "Happy city for everyone: Generational differences in rural migrant workers’ leisure in urban China," Urban Studies, Urban Studies Journal Limited, vol. 60(16), pages 3252-3271, December.
    10. Shah, Harsh & Carrel, Andre L. & Le, Huyen T.K., 2021. "What is your shopping travel style? Heterogeneity in US households’ online shopping and travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 83-98.
    11. van 't Veer, Renske & Annema, Jan Anne & Araghi, Yashar & Homem de Almeida Correia, Gonçalo & van Wee, Bert, 2023. "Mobility-as-a-Service (MaaS): A latent class cluster analysis to identify Dutch vehicle owners’ use intention," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. De Vos, Jonas & Alemi, Farzad, 2020. "Are young adults car-loving urbanites? Comparing young and older adults’ residential location choice, travel behavior and attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 986-998.
    9. 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.
    10. 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.
    11. Andre Carrel & Raja Sengupta & Joan L. Walker, 2017. "The San Francisco Travel Quality Study: tracking trials and tribulations of a transit taker," Transportation, Springer, vol. 44(4), pages 643-679, July.
    12. 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.
    13. Sfeir, Georges & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Multivariate count data models for adoption of new transport modes in an organization-based context," Transport Policy, Elsevier, vol. 91(C), pages 59-75.
    14. Kailai Wang & Xize Wang, 2022. "Generational Differences in Automobility: Comparing America's Millennials and Gen Xers Using Gradient Boosting Decision Trees," Papers 2206.11056, arXiv.org.
    15. Faber, R.M. & Jonkeren, O. & de Haas, M.C. & Molin, E.J.E. & Kroesen, M., 2022. "Inferring modality styles by revealing mode choice heterogeneity in response to weather conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 282-295.
    16. Ralph, Kelcie & Voulgaris, Carole Turley & Taylor, Brian D. & Blumenberg, Evelyn & Brown, Anne E., 2016. "Millennials, built form, and travel insights from a nationwide typology of U.S. neighborhoods," Journal of Transport Geography, Elsevier, vol. 57(C), pages 218-226.
    17. Alemi, Farzad & Circella, Giovanni & Mokhtarian, Patricia & Handy, Susan, 2018. "Exploring the latent constructs behind the use of ridehailing in California," Journal of choice modelling, Elsevier, vol. 29(C), pages 47-62.
    18. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    19. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Comparisons of observed and unobserved parameter heterogeneity in modeling vehicle-miles driven," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    20. 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.

    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:kap:transp:v:47:y:2020:i:5:d:10.1007_s11116-019-10026-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.