Achieving Sustainable Inter‐City Transport in Ireland
Bibliographic record
Abstract
Over the past decade the Irish government has invested intensively in a large national\nmotorway network. One of the side effects of this investment has been that now inter-city\ntravel is now considerably cheaper and quicker by car over any other mode. The main\nobjective of this research is to identify and examine the barriers to sustainable inter-city\ntransport in Ireland. The majority of sustainable transport research takes place in an urban\ncontext with very little research\nhas focused on understanding the factors to encourage\nalternative modes on inter\n-\ncity trips. A stated preference study was conducted to determine\nwhat are the factors that impact upon individuals‟ mode choice when conducting an inter-city\ntrip. The results of this paper demonstrate that there are several factors that impact upon\nindividuals‟ mode choice decisions when undertaking an inter-city trip. The main factor that\nwas found to impact upon mode choice was the requirement to have a car in the destination\ncity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.009 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".