The association between automobility engagement and electric vehicle preferences among car buyers
Bibliographic record
Abstract
Today’s societies are characterized by a reliance on privately-owned vehicles, or “automobility”. In this context, electric vehicles (EVs) are essential to achieve global climate targets, but few studies investigate the relationship between EVs and incumbent automobility. This study examines if automobility shapes consumer preferences for EVs by analyzing a survey and stated choice experiment applied with 2,555 Canadian new car buyers. We implement a scale exploring consumer engagement with automobility and identify seven constructs through factor analysis. Using regression analysis and a latent class model, we find significant associations between automobility engagement and EV preferences. For example, “Driving Enjoyment” and “Environmental Concern about Car Use” are associated with a preference for EVs, while “Car Empowerment” is associated with a preference for conventional vehicles. We conclude that EVs have a reformist relationship with automobility, potentially continuing certain aspects of automobility at a consumer level while being perceived to lower automobility impacts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".