Bibliographic record
Abstract
The UK Department for Transport (DfT) has powers to provide grant finance for part funding of light rail schemes. All new systems have required grant which has been a principal tool of urban transit policy. Other criteria must also be satisfied such as the need to avoid operating subsidy. To get a better understanding of why differences arise between schemes, the DfT commissioned a review of the comparative performance of light rail proposals to explore the wide range in costs, revenues and impacts. The results of that work inform the guidance on local public transport scheme appraisal and yield insights into what makes a successful scheme. The paper covers the appraisal and grant rules and the results of the DfT's comparative work. The UK now has 234 km (145 miles) of light rail route, mostly built since the pioneering Tyne and Wear scheme that opened in 1980. Comparison of the new UK systems shows a wide variation in performance covering revenue density, operating costs, ridership growth, load factors and productivity. Some of this reflects the different technology in use and some reflect different circumstances. Given recent cost increases, there is considerable uncertainty in British policy on further light rail investment. London's Docklands Light Railway (DLR) produces a Market Plan which benchmarks DLR performance against other UK systems and internationally, including selected light rail operations in USA, Canada and Hong Kong. These results, together with the DfT research, enable conclusions to be drawn about the key factors in the success of light rail schemes and the expected range of key performance indicators.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".