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Who will buy alternative fueled or automated vehicles: A modular, behavioral modeling approach

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  • Tsouros, Ioannis
  • Polydoropoulou, Amalia

Abstract

Future car purchase can determine an array of things ranging from CO2 emissions to urban life quality. For this reason, models and methods predicting car purchase are valuable to policy makers. This paper examines the future car purchase choice, using modules and different levels of attributes that construct a car, and measures the effect on the purchase choice of personality traits such as symbolic/exuberant attitudes towards vehicles. The results may enable policy makers to focus on certain market segments when promoting alternative fuel and automated vehicles. The paper proposes a hybrid choice model, with latent variables capturing the pro-environmental, exuberant and tech-friendly attitudes of individuals. The questionnaire presented to the respondents is in the form of a menu, from which participants may choose five different types of vehicle characteristics (engine size, type of car, fuel type, car edition and level of automation) to construct their ideal vehicle. Results indicate a negative correlation between symbolic, exuberant attitudes towards automobiles, the view of cars as symbols, and willingness to purchase a hybrid or electric vehicle. The findings further suggest that there is a correlation between symbol-driven exuberant attitudes and the desire to buy a larger vehicle. This paper examines the relationship between the symbolic perception of cars and, simultaneously, a range of characteristics, to discover which car attributes the symbolic perception affects. It also proposes an integrated framework for the modeling of future car purchase, with the hypothesis that each of the three presented latent variables can affect different modules of the individual’s ideal car concept.

Suggested Citation

  • Tsouros, Ioannis & Polydoropoulou, Amalia, 2020. "Who will buy alternative fueled or automated vehicles: A modular, behavioral modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 214-225.
    • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:214-225
    DOI: 10.1016/j.tra.2019.11.013
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    References listed on IDEAS

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    Cited by:

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    2. Anna Kowalska-Pyzalska & Marek Kott & Joanna Kott, 2021. "How Much Polish Consumers Know about Alternative Fuel Vehicles? Impact of Knowledge on the Willingness to Buy," Energies, MDPI, vol. 14(5), pages 1-19, March.
    3. Tsouros, Ioannis & Tsirimpa, Athena & Pagoni, Ioanna & Polydoropoulou, Amalia, 2021. "MaaS users: Who they are and how much they are willing-to-pay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 470-480.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    5. Matthew Wigginton Bhagat-Conway & Laura Mirtich & Deborah Salon & Nathan Harness & Alexis Consalvo & Shuyao Hong, 2024. "Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)," Transportation, Springer, vol. 51(1), pages 155-191, February.
    6. Amalia Polydoropoulou & Ioannis Tsouros & Nikolas Thomopoulos & Cristina Pronello & Arnór Elvarsson & Haraldur Sigþórsson & Nima Dadashzadeh & Kristina Stojmenova & Jaka Sodnik & Stelios Neophytou & D, 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    7. Al-Garawi, Najah & Kamargianni, Maria, 2021. "Women's modal switching behavior since driving is allowed in Saudi Arabia," Journal of Transport Geography, Elsevier, vol. 96(C).

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