Bibliographic record
Abstract
This article, part of a special issue focusing on Bus Rapid Transit (BRT), presents a survey of BRT projects as of 2006. The survey covers 35 projects in 25 cities, spanning the U.S., Canada, Mexico and Puerto Rico. The survey reports on the agency that runs the project, the capital cost, year of start, number of vehicles, running way features, station characteristics, vehicle styles, fare collection methods, propulsion and use of intelligent transportation technologies (ITS). The total capital cost is estimated to be $5 billion, with roughly half that spent on projects already operating or projected to start operating in 2006. Additional descriptions include the way BRT is evolving, some common trends and ways to more accurately classify BRT. Capital costs seem to drop as projects approach implementation, perhaps in order to speed the move to revenue service, if only on more limited levels. The total number of BRT vehicles agencies plan to buy in 2006 is 247. Other cities and Canadian provinces which did not respond to the survey but which have BRT planned or underway are also listed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".