Implementation of Nationwide Public Transport Smart Card in the Netherlands
Bibliographic record
Abstract
In the Netherlands, public transport plays an important role in meeting the public's travel demands. The country's 19 public transport authorities are required by the central government to implement innovative business practices. The primary objectives are to facilitate competition, improve efficiency, and increase ridership. Smart card technology is seen as a means of aiding in the liberalization of the market and providing management information for planning and marketing. The country's major urban and regional transport system operators agreed in November 1998 to work together to develop a national smart card system. The Dutch Transport Ministry commissioned a cost–benefit analysis to guide the development and implementation of the technology nationwide. The study not only examined the overall potential impact but also appraised effects on different stakeholders under various scenarios. In addition, sensitivity analyses were undertaken to enhance the study's robustness. The methodology used provided a consistent and integrated framework allowing the findings to be assessed in a structured manner to facilitate decision making. The results indicated that the project would involve a wide range of socioeconomic advantages and that, overall, benefits would exceed costs.
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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 | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| 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".