METRO's BRT 25: Analysis of Top Bus Rapid Transit Projects in North America
Bibliographic record
Abstract
This article presents the top 25 cities in the U.S., Canada, Mexico, and Puerto Rico, with bus rapid transit (BRT) projects for 2007. The estimated capital costs for the 32 projects average $154.6 million each, with a combined total of $4.9 billion. The article notes that of the respondents to the survey, 44 percent power their BRT systems with clean diesel, 28 percent with hybrid-electric, 15 percent with CNG, 2.5 percent with fuel cells, and 10.5 percent with undisclosed or LNG sources. Agencies listed have purchased a total of 485 BRT vehicles in 2007, with 94 percent of all projects using low-floor vehicles. Some highlights listed include the launch of Eugene, Oregon's Lane Transit District's EmX service, the West Covina California Foothill Transit's Silver Streak Line, and the Orange County, California's Transportation Authority's new BRT CNG-powered venture.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".