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Determinants of purchase likelihood for partially and fully automated vehicles: Insights from mixed logit model with heterogeneity in means and variances

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  • Behnood, Ali
  • Haghani, Milad
  • Golafshani, Emadaldin Mohammadi

Abstract

Determining the likelihood of consumers purchasing automated vehicles (AVs) is extremely important for policymakers, researchers, and automobile manufacturers. Successful penetration of AVs into the market depends on the end-user’s perception and their affinity towards these vehicles. In this study, a comprehensive state-wide data has been used to determine the factors affecting the purchase likelihood of AVs. A wide range of potential factors are evaluated, including attributes related to safety and consumer’s perception, socio-economic and demographic factors, carsharing and ridesharing habits, types of housing and parking, types of owned and future vehicles, consumers’ preferences for buying or leasing a vehicle, and their residential region. A random parameters logit model with three outcomes of consumer’s affinity (i.e., agree, neither agree nor disagree, disagree) towards purchasing either partially (Levels 3 and 4) or fully (Level 5) AVs is considered. Moreover, to account for different layers of unobserved heterogeneity and to obtain a better statistical fit, the means and variances of random parameters are allowed to vary across the observations. The estimations results reveal significant differences between the determinants of consumer’s affinity towards partially and fully AVs. For partially AVs, the effect of certain variables related to the status of owing hybrid vehicles, education level, parking type, gender, and consumer’s opinion about the future of carsharing and ridesharing programs represented significant degrees of heterogeneity. For fully AVs, however, variables related to education level, parking type, housing type, and ethnicity were found to produce random parameters. The findings from this study can be used to estimate AV penetration and promote AV adoption.

Suggested Citation

  • Behnood, Ali & Haghani, Milad & Golafshani, Emadaldin Mohammadi, 2022. "Determinants of purchase likelihood for partially and fully automated vehicles: Insights from mixed logit model with heterogeneity in means and variances," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 119-139.
    • Handle: RePEc:eee:transa:v:159:y:2022:i:c:p:119-139
    DOI: 10.1016/j.tra.2022.03.017
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    2. Semple, Torran & Fonzone, Achille & Fountas, Grigorios & Downey, Lucy, 2023. "An empirical analysis of the factors influencing Scottish residents’ compliance with COVID-19 travel restrictions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    3. Rejali, Sina & Aghabayk, Kayvan & Esmaeli, Saeed & Shiwakoti, Nirajan, 2023. "Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of fully automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    4. Wali, Behram & Santi, Paolo & Ratti, Carlo, 2023. "Are californians willing to use shared automated vehicles (SAV) & renounce existing vehicles? An empirical analysis of factors determining SAV use & household vehicle ownership," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

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