A Behavioral Assessment of Tourism Transportation Options for Reducing Energy Consumption and Greenhouse Gases
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
This article outlines an approach for examining tourist-destination travel mode choices and forecasting the resulting environmental impact of those selections. Using the tourism destination of Whistler, British Columbia, as a case study, the article initially describes a discrete-choice experiment (DCE) used to estimate tourist mode-choice behavior under different transportation-planning scenarios. It then incorporates the DCE findings into a technical, bottom-up energy-use model to create behaviorally shaped estimates of energy consumption and greenhouse gas emissions. The findings suggest that innovative transportation-management strategies can encourage tourists to use public-transit modes rather than private or rental vehicles to access tourism destinations. The modal shifts caused by these initiatives can significantly affect the energy consumption and greenhouse gas emissions associated with land-based visitor travel. The findings contribute to the growing theoretical and applied strategies needed to inform the creation of more sustainable forms of tourism-destination development.
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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 | 0.003 | 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