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

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.

[1]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[2]  S. Sclove Application of model-selection criteria to some problems in multivariate analysis , 1987 .

[3]  H. Akaike Factor analysis and AIC , 1987 .

[4]  H. Akaike Factor analysis and AIC , 1987 .

[5]  J. Vermunt,et al.  Latent class cluster analysis , 2002 .

[6]  K. Axhausen,et al.  Habitual travel behaviour: Evidence from a six-week travel diary , 2003 .

[7]  P. Stopher,et al.  Assessing the accuracy of the Sydney Household Travel Survey with GPS , 2007 .

[8]  T. Kuhnimhof,et al.  Users of Transport Modes and Multimodal Travel Behavior , 2006 .

[9]  Tobias Kuhnimhof,et al.  Users of transport modes and multimodal travel behavior : Steps toward understanding travelers' options and choices , 2006 .

[10]  Claudia Nobis Multimodality , 2007 .

[11]  Claudia Nobis Multimodality , 2007 .

[12]  P. Rietveld,et al.  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 Netherlands , 2009 .

[13]  Patricia L. Mokhtarian,et al.  Desire to change one’s multimodality and its relationship to the use of different transport means , 2009 .

[14]  Ralph Buehler,et al.  Contributions of Daily Walking and Cycling to Physical Activity , 2022 .

[15]  Toshiyuki Yamamoto,et al.  Men Shape a Downward Trend in Car Use among Young Adults—Evidence from Six Industrialized Countries , 2012 .

[16]  Tobias Kuhnimhof,et al.  Travel trends among young adults in Germany: increasing multimodality and declining car use for men , 2012 .

[17]  Akshay Vij,et al.  Incorporating the influence of latent modal preferences on travel mode choice behavior , 2013 .

[18]  Dirk Zumkeller,et al.  Who Are the Drivers of Peak Car Use? , 2013 .

[19]  Dirk Zumkeller,et al.  Who Made Peak Car, and How? A Breakdown of Trends over Four Decades in Four Countries , 2013 .

[20]  Graham Currie,et al.  Causes of Youth Licensing Decline: A Synthesis of Evidence , 2013 .

[21]  S. Polzin,et al.  The impact of millennials' travel behavior on future personal vehicle travel , 2014 .

[22]  Jens Schippl,et al.  User Perceptions and Attitudes on Sustainable Urban Transport among Young Adults: Findings from Copenhagen, Budapest and Karlsruhe , 2014 .

[23]  Graham Currie,et al.  Using discussion forums to explore attitudes toward cars and licensing among young Australians , 2014 .

[24]  Deborah Salon,et al.  Heterogeneity in the relationship between the built environment and driving: Focus on neighborhood type and travel purpose , 2015 .

[25]  Akshay Vij,et al.  From Trend Spotting to Trend ‘Splaining: Understanding Modal Preference Shifts in the San Francisco Bay Area , 2015 .

[26]  E. Heinen,et al.  The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey , 2015 .

[27]  N. McDonald Are Millennials Really the “Go-Nowhere” Generation? , 2015 .

[28]  Ralph Buehler,et al.  The multimodal majority? Driving, walking, cycling, and public transportation use among American adults , 2015 .

[29]  Pavlos S. Kanaroglou,et al.  A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region , 2016 .

[30]  David Ogilvie,et al.  Variability in baseline travel behaviour as a predictor of changes in commuting by active travel, car and public transport: a natural experimental study , 2016, Journal of transport & health.

[31]  D. Hopkins Can environmental awareness explain declining preference for car-based mobility amongst generation Y? A qualitative examination of learn to drive behaviours , 2016 .

[32]  Eric Molin,et al.  Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers , 2016 .

[33]  Susan L Handy,et al.  What Affects Millennials’ Mobility? Part I: Investigating the Environmental Concerns, Lifestyles, Mobility-Related Attitudes and Adoption of Technology of Young Adults in California , 2016 .

[34]  E. Heinen,et al.  Key events and multimodality: a life course approach , 2016 .

[35]  B. Taylor,et al.  Who knows about kids these days? Analyzing the determinants of youth and adult mobility in the U.S. between 1990 and 2009 , 2016 .

[36]  E. Heinen,et al.  Does a high level of multimodality mean less car use? An exploration of multimodality trends in England , 2019 .

[37]  Nicholas J. Klein,et al.  Millennials and car ownership: Less money, fewer cars , 2017 .

[38]  Kelcie M Ralph,et al.  Multimodal Millennials? The Four Traveler Types of Young People in the United States in 2009 , 2017 .

[39]  A. Delbosc,et al.  A tale of two millennials , 2017 .

[40]  Victor Couture,et al.  Urban Revival in America, 2000 to 2010 , 2017 .

[41]  Yongsu Lee,et al.  Millennial First-Time Homebuyers and Location Choice , 2018, Journal of Planning Education and Research.

[42]  G. Marsden,et al.  All Change?:The future of travel demand and its implications for policy and planning , 2018 .

[43]  P. Mokhtarian,et al.  The Adoption of Shared Mobility in California and Its Relationship with Other Components of Travel Behavior , 2018 .

[44]  Miriam. Ricci,et al.  Young people’s travel: what’s changed and why? Review and analysis , 2018 .

[45]  Adam A. Millsap Location choice in early adulthood: Millennials versus Baby Boomers* , 2018 .

[46]  E. Heinen Are multimodals more likely to change their travel behaviour? A cross-sectional analysis to explore the theoretical link between multimodality and the intention to change mode choice , 2018, Transportation Research Part F: Traffic Psychology and Behaviour.