Driving Behavior Change: Modeling the Psychological Determinants of Sustainable Attendee Transportation to Special Events
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Characterized by extensive private-car use, attendee transportation represents the largest greenhouse gas contributor of special events, among numerous other environmental, social, and economic concerns. While travel demand management interventions have been implemented by event organizers to shift attendees towards more sustainable transportation alternatives, applications in practice have experienced varied success due to limited empirical evidence surrounding the cognitive mechanisms behind attendee mode choice. Through a survey of 500 special event attendees, this study set out to identify the psychological determinants of non-car use as expressed by the leading choice behavior theories. Key findings revealed that non-car use intentions were associated with attitudes, perceived behavioral control, role beliefs, normative beliefs, affect, and personal norms, while habits and intentions directly influenced non-car use behavior. The results underscored the need for future research to adopt a comprehensive approach towards applying the leading theories and exploring their transferability across contexts. Specific interventions are recommended.
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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 it