Analyzing the Travel Behaviour and Travel Preferences of Employees and Students Commuting via the Dubai Metro
Why this work is in the frame
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Bibliographic record
Abstract
Dubai's Roads and Transport Authority (RTA) launched the Dubai Metro as a proactive and systematic approach to key transport challenges that face the city, such as traffic congestion resulting from rapid growth during the past two decades. This paper uses a logit model to analyze the factors that influence government and private employees to select the Dubai Metro as their main commuting method. A convenience sample survey was conducted among employees working in selected government institutions and private companies, as well as at Zayed University; the total sample size was 430. The analysis shows that the travel behaviour of government employees is distinctly different from that of workers in the private sector. The study also found statistically significant associations between factors such as level of education, nationality, purpose of travel, walking time between station and work, and frequency of Metro usage and the intention to use the Dubai Metro in employment journeys. Owning a car, crowded cabin...
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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