Arc, a New Transit Fare Payment System in the Edmonton Metropolitan Region
Bibliographic record
Abstract
カナダ国アルバータ州の州都エドモントン市は世界で初めてLRT を導入した公共交通先進地として有名である。本稿では、2021 年秋にエドモントン都市圏の公共交通に新たに導入された運賃収受システムである「Arc」を概観し、カナダの他都市圏および日本との比較を行った。 その結果、カナダの他都市圏では従来の紙乗車券や磁気乗車券の置き換えとしてIC カード乗車券が導入されているのに対して、エドモントンではArc の導入を機に運賃上限制度(fare caps)を採り入れたことが特徴であることが明らかになった。 エドモントンでArc が普及するためには「Arc を利用した方が得である」ような運賃制度の設計が必要不可欠である。その点において、fare caps は一定の効果が見込めるが、利便性が高い乗車券をArc 上でいかに代替するかがETS にとっての課題となる。
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".