Latent Captivation or Mode Culture? Investigation into Mode Choice Preference Structures in Competitive Modal Arrangements
Bibliographic record
Abstract
This paper presents an investigation into the preference structure of commuting mode choice in dense urban areas. The paper aims to investigate the phenomenon of latent modal reliance and extends the phenomenon to the concept of modal culture. Using a household travel diary survey from the Greater Toronto and Hamilton Area (GTHA), an empirical discrete choice model was estimated. This model was used to provide general comments on the commuting and dependent behaviour of the sample, with a particular focus on the factors that influence bicycling captivation and culture. The model was then used for a hypothetical policy scenario analysis, which found that an investment in biking infrastructure had the capacity to increase bicycling mode share by nearly 50%. Based on this result, this paper recommends further investigation into both data collection for more comprehensive empirical model development and investigation into the policy applicability of the proposed model structure.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".