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A Cluster Analysis of University Commuters: Attitudes, Personal Norms and Constraints, and Travel Satisfaction

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  • Marco De Angelis

    (Department of Psychology, University of Bologna, Via Berti Pichat 5, 40126 Bologna, Italy)

  • Luca Mantecchini

    (Department of Civil, Chemical, Environmental, and Materials Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy)

  • Luca Pietrantoni

    (Department of Psychology, University of Bologna, Via Berti Pichat 5, 40126 Bologna, Italy)

Abstract

Higher education institutions are recognised as settings where the community’s awareness of sustainable mobility can be strengthened or reshaped. The first objective of the present study was to identify groups of commuters based on their modal choice in a large higher education institution in Italy. The second objective was to compare the groups on socio-demographic and psychosocial variables, specifically attitudes, personal norms, personal constraints, and travel satisfaction. The cluster analysis revealed five different types of commuters: car-oriented, two-wheeled urban users, pedestrians, long-distance commuters, and regular bus users. Attitudes, personal constraints and norms, and satisfaction differed in the five groups of commuters. The present study provides insights for behavioural change programmes and organizational policies on sustainable mobility.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4592-:d:543892
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    1. 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.
    2. Kuhnimhof, Tobias & Buehler, Ralph & Wirtz, Matthias & Kalinowska, Dominika, 2012. "Travel trends among young adults in Germany: increasing multimodality and declining car use for men," Journal of Transport Geography, Elsevier, vol. 24(C), pages 443-450.
    3. Jesús García & Rosa Arroyo & Lidón Mars & Tomás Ruiz, 2019. "The Influence of Attitudes towards Cycling and Walking on Travel Intentions and Actual Behavior," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    4. Ralph Buehler & John Pucher & Regine Gerike & Thomas Götschi, 2017. "Reducing car dependence in the heart of Europe: lessons from Germany, Austria, and Switzerland," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 4-28, January.
    5. Marco Diana & Patricia Mokhtarian, 2009. "Grouping travelers on the basis of their different car and transit levels of use," Transportation, Springer, vol. 36(4), pages 455-467, July.
    6. 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.
    7. Zhang, Rui & Yao, Enjian & Liu, Zhili, 2017. "School travel mode choice in Beijing, China," Journal of Transport Geography, Elsevier, vol. 62(C), pages 98-110.
    8. Yuanyuan Guo & Linchuan Yang & Wenke Huang & Yi Guo, 2020. "Traffic Safety Perception, Attitude, and Feeder Mode Choice of Metro Commute: Evidence from Shenzhen," IJERPH, MDPI, vol. 17(24), pages 1-20, December.
    9. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    10. Şimşekoğlu, Özlem & Nordfjærn, Trond & Rundmo, Torbjørn, 2015. "The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public," Transport Policy, Elsevier, vol. 42(C), pages 113-120.
    11. Philippe Gerber & Marius Thériault & Christophe Enaux & Samuel Carpentier-Postel, 2020. "Links between Attitudes, Mode Choice, and Travel Satisfaction: A Cross-Border Long-Commute Case Study," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    12. Zhou, Jiangping, 2012. "Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1013-1029.
    13. 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.
    14. Christin Hoffmann & Charles Abraham & Mathew P. White & Susan Ball & Stephen M. Skippon, 2017. "What cognitive mechanisms predict travel mode choice? A systematic review with meta-analysis," Transport Reviews, Taylor & Francis Journals, vol. 37(5), pages 631-652, September.
    15. Whalen, Kate E. & Páez, Antonio & Carrasco, Juan A., 2013. "Mode choice of university students commuting to school and the role of active travel," Journal of Transport Geography, Elsevier, vol. 31(C), pages 132-142.
    16. Monika Teuber & Gorden Sudeck, 2021. "Why Do Students Walk or Cycle for Transportation? Perceived Study Environment and Psychological Determinants as Predictors of Active Transportation by University Students," IJERPH, MDPI, vol. 18(4), pages 1-25, February.
    17. De Vos, Jonas, 2018. "Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 261-274.
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    1. Navid Nadimi & Aliakbar Zamzam & Todd Litman, 2023. "University Bus Services: Responding to Students’ Travel Demands?," Sustainability, MDPI, vol. 15(11), pages 1-17, June.

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