Bibliographic record
Abstract
The International Association of Public Transport (UITP) is promoting a goal of doubling public transportation’s modal share worldwide by 2025. Several UITP members have already achieved or made significant progress towards this goal, which UITP calls PTx2. The UITP has established awards to recognize these efforts. This article provides a description of the winning organizations and their programs in several categories: daring ambition (Abu Dhabi Department of Transport, United Arab Emirates); finance innovation (Compania Uruguaya de Transportes Colectivos, Uruguay); knowledge and research (Centre for Environmental Planning and Technology University, India); political commitment (Lagos Metropolitan Area Transport Authority, Nigeria), public transport advocacy (Canadian Urban Transit Association, Canada); service improvement (Azienda Transporti Bergamo, Italy); and technology and innovation (VIX Technology and Cityway, France). Two special awards were given to organizations that have embarked on long-term programs that comply perfectly with PTx2 objectives: Singapore’s Land Transport Authority and Sweden’s Svensk Kollektivtrafik. These brief case studies can provide inspiration for other organizations working toward their own PTx2 goals.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".