Analysis of Private Participation Effects in Bus Rapid Transit Projects in Ecuador
Bibliographic record
Abstract
The two largest cities in Ecuador each implemented three bus rapid transit (BRT) corridors from 1995 to 2013. The projects present similar characteristics, and thus a unique opportunity to analyze factors that influenced their performance. This paper identifies the level of private participation and the extent to which it influenced the outcomes of the projects. Two approaches were identified: 1) including incumbent operators by delegating vehicle acquisitions and operations; and 2) replacing them with a public company. The financial strength and interest of the incumbent operators in continuing to function along parallel routes were major issues. Quito was successful in the implementation of the first corridor through public delivery but failed in its attempts with private participation. Guayaquil surmounted the barriers for effective private participation through a special purpose vehicle (SPV) that managed the risk created by the inherent nature of the consortiums. It is expected that a deeper understanding of these processes will contribute to more efficient and sustainable transportation investments in Ecuador.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".