Highlights Joint behavioral model is presented for partially connected automated and fully automated vehicles adoption. The role of preference heterogeneity at different geographic levels is highlighted. Individuals are more willing to adopt automated vehicles with connectivity. Vehicle attributes end users prioritize the most in buying or leasing vehicles are analyzed. Role of safety concerns, sustainable travel behavior, & demographic determinants is quantified. Findings can enable prediction of the future use and ownership patterns of CAVs and FAVs.
Abstract An adequate understanding of consumer affinity towards automated vehicles (AVs) is necessary to more reliably forecast the potential impacts of AVs on transportation system. The road to fully automated driving systems pass through partially automated driving systems. This study contributes by simultaneously analyzing consumer affinity towards partially (Level 3/4 automation) connected automated vehicles (CAVs) and fully AVs (FAVs) (Level 5 automation), and how it relates to sustainable travel behavior, user valuation of different vehicle attributes, (electric) vehicle ownership, and safety concerns. Unique data for over 3500 households from the 2017 California Vehicle Survey are harnessed. With an on-average positive correlation between consumer affinity towards partially CAVs and FAVs (Kendall’s of 0.506), significant contrasts are also observed. Compared to around 64% of the households with positive affinity towards partially CAVs, only 35% were willing to consider buying a FAV in future. Around 30% of the households had negative affinity for FAVs but positive affinity for partially CAVs. A comprehensive simulation-assisted joint bivariate ordered discrete outcome modeling framework is used, considering preference heterogeneity at different geographic/ecological levels, from the region to household level, and further within and across the choices for partially CAVs and FAVs. Participation in carshare, rideshare programs, and more transit trips per member were independently associated with a greater affinity towards partially CAVs and FAVs. Ownership of a plug-in electric vehicle was associated with a 19.9% and 9.6% increase in the likelihood of highest affinity levels towards partially CAVs and FAVs, respectively. Some evidence is found that consumers may possibly use shared AVs, but not necessarily in combination with ride sharing. Simultaneous correlations between affinity towards partially CAVs and FAVs and most valued vehicle attributes, safety concerns, and sociodemographic factors are quantified. Methodologically, the results underscore the importance of considering preference heterogeneity at different geographic/ecological levels. Captured through random parameters, the associations of several factors with consumer affinity towards partially CAVs and FAVs varied in magnitude and direction. In addition, statistically significant interactive effects (opposite and counterbalancing) of the latent unobserved factors underlying several random parameters were observed. The presence of multilayered preference heterogeneity highlights the personalized and complex nature of behavioral phenomenon underlying user acceptance of AVs. By reflecting the users’ preferences towards CAVs and FAVs and characterizing the taste/preference heterogeneity at multiple levels, the findings can be integrated in larger travel forecasting models to more accurately predict the future-use and ownership patterns of CAVs and FAVs by various sociodemographic cohorts.
Modeling consumer affinity towards adopting partially and fully automated vehicles – The role of preference heterogeneity at different geographic levels
2021-06-21
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Dissecting preference heterogeneity in consumer stated choices
Elsevier | 2011
|Dissecting preference heterogeneity in consumer stated choices
Online Contents | 2012
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