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Using latent attitudinal variables estimated through a structural equations model for understanding carpooling propensity

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  • Gonçalo Homem de Almeida Correia
  • João de Abreu e Silva
  • José Manuel Viegas

Abstract

Carpooling systems have never been able to achieve significant reductions in the use of private vehicles. The psychological barriers associated with riding with nonacquaintances and losing the flexibility of using one's private vehicle as a single occupant are often referred to. However, the effect of these issues is hard to determine as they reveal subjective attitudes not easy to quantify. In order to measure these attitudes a survey was conducted in Lisbon (Portugal). In this survey, we collected data for several attitudinal variables and conducted a stated preference experiment comparing driving alone/with family with external carpooling. A simultaneous estimation of the latent attitudinal factors and the probabilities of choice were conducted through a structural equations model. The model results show that attitudes play an important role in the decision to carpool, and they also act as mediators from socio-demographic characteristics. The negative aspects of carpooling may be overcome by the positive aspects; however, our results also stress the difficulties associated with changing from an acquaintance-based carpool to a broader system which may hinder the possibility of expanding the number of carpoolers in big cities.

Suggested Citation

  • Gonçalo Homem de Almeida Correia & João de Abreu e Silva & José Manuel Viegas, 2013. "Using latent attitudinal variables estimated through a structural equations model for understanding carpooling propensity," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(6), pages 499-519, August.
  • Handle: RePEc:taf:transp:v:36:y:2013:i:6:p:499-519
    DOI: 10.1080/03081060.2013.830894
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    Cited by:

    1. Zhenbao Wang & Shuyue Liu & Haitao Lian & Xinyi Chen, 2024. "Investigating the Nonlinear Effect of Land Use and Built Environment on Public Transportation Choice Using a Machine Learning Approach," Land, MDPI, vol. 13(8), pages 1-16, August.
    2. Johannes Müller & Gonçalo Homem de Almeida Correia & Klaus Bogenberger, 2017. "An Explanatory Model Approach for the Spatial Distribution of Free-Floating Carsharing Bookings: A Case-Study of German Cities," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    3. Nielsen, Jesper Riber & Hovmøller, Harald & Blyth, Pascale-L. & Sovacool, Benjamin K., 2015. "Of “white crows” and “cash savers:” A qualitative study of travel behavior and perceptions of ridesharing in Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 113-123.
    4. Waqas Haroon & Muhammad Arsalan Khan & Zeeshan Ilyas & Hamad R. Almujibah & Muhammad Umer Zubair & Muhammad Ashfaq & Muhammad Hamza, 2024. "Analyzing Young Adult Travelers’ Perception and Impacts of Carpooling on Traffic Sustainability," Sustainability, MDPI, vol. 16(14), pages 1-26, July.
    5. Anne Aguiléra & Eléonore Pigalle, 2021. "The Future and Sustainability of Carpooling Practices. An Identification of Research Challenges," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    6. Correia, Gonçalo Homem de Almeida & van Arem, Bart, 2016. "Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility," Transportation Research Part B: Methodological, Elsevier, vol. 87(C), pages 64-88.
    7. Lambros Mitropoulos & Annie Kortsari & Emy Apostolopoulou & Georgia Ayfantopoulou & Alexandros Deloukas, 2023. "Multimodal Traveling with Rail and Ride-Sharing: Lessons Learned during Planning and Demonstrating a Pilot Study," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    8. Neoh, Jun Guan & Chipulu, Maxwell & Marshall, Alasdair & Tewkesbury, Adam, 2018. "How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 128-148.
    9. Rezwana Rafiq & Suman Kumar Mitra, 2020. "Shared school transportation: determinants of carpooling as children’s school travel mode in California," Transportation, Springer, vol. 47(3), pages 1339-1357, June.
    10. Gheorghiu, Alexandra & Delhomme, Patricia, 2018. "For which types of trips do French drivers carpool? Motivations underlying carpooling for different types of trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 460-475.
    11. Romero, Fernando & Gomez, Juan & Paez, Antonio & Vassallo, José Manuel, 2020. "Toll roads vs. Public transportation: A study on the acceptance of congestion-calming measures in Madrid," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 319-342.
    12. Lambros Mitropoulos & Annie Kortsari & Georgia Ayfantopoulou, 2021. "Factors Affecting Drivers to Participate in a Carpooling to Public Transport Service," Sustainability, MDPI, vol. 13(16), pages 1-17, August.

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