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X vs. Y: an analysis of intergenerational differences in transport mode use among young adults

Author

Listed:
  • Rico Krueger

    (UNSW Australia)

  • Taha H. Rashidi

    (UNSW Australia)

  • Akshay Vij

    (University of South Australia)

Abstract

Recent research has contrasted the travel patterns of young adults of Generation Y (or, synonymously, the Millennial Generation) with the travel patterns of earlier generations of young adults such as those belonging to Generation X. Young adults of Generation Y are found to drive less and in some contexts are found to exhibit more multimodal travel patterns and to use public transit more often. Potential causes for these observed shifts in transport mode use have also been theorised: One view is that period effects in the form of contemporaneous changes in socio-cultural, socio-economic and socio-technical factors are responsible for the observed shifts in transport mode use; another view is that members of Generation Y have inherently different preferences and values due to formative socio-cultural, socio-economic and historical experiences. Motivated by this yet-to-be-resolved dialectic, this paper uses a hierarchical Bayesian multivariate Poisson log-normal model to examine intergenerational differences in transport mode use among young adults. The model is applied to 23 waves of the German Mobility Panel and captures between-cohort and between-period variation of parameters of interest. The trained model informs a counterfactual prediction exercise aiming to decompose intergenerational differences in transport mode use into demography-, cohort-, and period-specific effects. Our findings suggest that all three sets of effects account for intergenerational differences in transport mode use, while the absolute and relative importance of each set of effects vary across transport modes. For the period from 1998 to 2016, two thirds of the decline in car use can be ascribed to period effects; nearly all of the increase in public transit use and 42% of the increase in bicycling can be ascribed to cohort effects.

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  • Rico Krueger & Taha H. Rashidi & Akshay Vij, 2020. "X vs. Y: an analysis of intergenerational differences in transport mode use among young adults," Transportation, Springer, vol. 47(5), pages 2203-2231, October.
    • Handle: RePEc:kap:transp:v:47:y:2020:i:5:d:10.1007_s11116-019-10009-7
    DOI: 10.1007/s11116-019-10009-7
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    References listed on IDEAS

    as
    1. Kevin Krizek, 2003. "Neighborhood services, trip purpose, and tour-based travel," Transportation, Springer, vol. 30(4), pages 387-410, November.
    2. Chib, Siddhartha, 2001. "Markov chain Monte Carlo methods: computation and inference," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 57, pages 3569-3649, Elsevier.
    3. Lewandowski, Daniel & Kurowicka, Dorota & Joe, Harry, 2009. "Generating random correlation matrices based on vines and extended onion method," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 1989-2001, October.
    4. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    5. Dowell Myers, 2016. "Peak Millennials: Three Reinforcing Cycles That Amplify the Rise and Fall of Urban Concentration by Millennials," Housing Policy Debate, Taylor & Francis Journals, vol. 26(6), pages 928-947, November.
    6. Alexa Delbosc, 2017. "Delay or forgo? A closer look at youth driver licensing trends in the United States and Australia," Transportation, Springer, vol. 44(5), pages 919-926, September.
    7. Venu M. Garikapati & Ram M. Pendyala & Eric A. Morris & Patricia L. Mokhtarian & Noreen McDonald, 2016. "Activity patterns, time use, and travel of millennials: a generation in transition?," Transport Reviews, Taylor & Francis Journals, vol. 36(5), pages 558-584, September.
    8. 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.
    9. Klein, Nicholas J. & Smart, Michael J., 2017. "Millennials and car ownership: Less money, fewer cars," Transport Policy, Elsevier, vol. 53(C), pages 20-29.
    10. Thigpen, Calvin & Handy, Susan, 2018. "Driver's licensing delay: A retrospective case study of the impact of attitudes, parental and social influences, and intergenerational differences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 24-40.
    11. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    12. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    13. Yeojin Chung & Sophia Rabe-Hesketh & Vincent Dorie & Andrew Gelman & Jingchen Liu, 2013. "A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 685-709, October.
    14. Thomas Bauer & Mathias Sinning, 2008. "An extension of the Blinder–Oaxaca decomposition to nonlinear models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(2), pages 197-206, May.
    15. Hjorthol, Randi, 2016. "Decreasing popularity of the car? Changes in driving licence and access to a car among young adults over a 25-year period in Norway," Journal of Transport Geography, Elsevier, vol. 51(C), pages 140-146.
    16. Andrew Bell & Kelvyn Jones, 2014. "Current practice in the modelling of age, period and cohort effects with panel data: a commentary on Tawfik et al. (2012), Clarke et al. (2009), and McCulloch (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2089-2095, July.
    17. Chib, Siddhartha & Winkelmann, Rainer, 2001. "Markov Chain Monte Carlo Analysis of Correlated Count Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 428-435, October.
    18. Alexa Delbosc & Graham Currie, 2014. "Changing demographics and young adult driver license decline in Melbourne, Australia (1994–2009)," Transportation, Springer, vol. 41(3), pages 529-542, May.
    19. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    20. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    21. Chandra R. Bhat & Rajesh Paleti & Marisol Castro, 2015. "A New Utility‐Consistent Econometric Approach to Multivariate Count Data Modeling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 806-825, August.
    22. Michael Grimsrud & Ahmed El-Geneidy, 2014. "Transit to eternal youth: lifecycle and generational trends in Greater Montreal public transport mode share," Transportation, Springer, vol. 41(1), pages 1-19, January.
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