Urban Transportation Showcase Program: Results of the Integrated Urban Passenger Greenhouse Gas Emission Reduction Demonstration Projects
Bibliographic record
Abstract
The Urban Transportation Showcase Program (UTSP) was created by Transport Canada in 2001 to test the greenhouse gas emission reduction potential of integrated urban passenger transportation projects. Eight demonstration projects (in Whitehorse, Metropolitan Vancouver, Winnipeg, Region of Waterloo, Greater Toronto Area and Hamilton, Gatineau and Montreal, Quebec City, and Halifax Regional Municipality) testing about 35 distinct measures were implemented. Measures included bus rapid transit facilities, transit oriented development, Intelligent Transportation Systems, Active Transportation facilities, and transportation demand management measures. All of the projects implemented a suite of integrated measures in partnership with a range of governmental, private sector and non-profit partners. Each of the projects incorporated comprehensive results measurement regimes and they reported regularly to Transport Canada, each other and to the broader stakeholder community regarding their experience and the results of the demonstrations. This paper describes some key results of the showcases and the program generally. The paper includes information on: the context for GHG reduction in the transportation sector; project emission reduction results; other project benefits; and, lessons learned from project officials and partners. The paper documents results reported to March 2009. A final program report that captures all project results will be published in 2010.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".