User-Perceived Level-of-Service Evaluation Model for Airport Baggage-Handling Systems
Bibliographic record
Abstract
Background research shows that the design standards for baggage-handling systems (BHSs) do not consider the level of service (LOS) as perceived by the passengers. Moreover, it is evident that a national strategy for defining the LOS of BHSs and the means to improve it are lacking. An LOS model that can ascertain the LOS being achieved by the BHS would be beneficial to airlines, passengers, and airport designers. Such a model would enable airport authorities and airlines to determine when improvements are required and to develop a strategy for implementing the needed changes. In a study performed at six Canadian airports, more than 800 passengers rated the LOS provided by the overall BHS and its components. The results confirm that traditional time and space standards currently used by aviation agencies, airports, airlines, and baggage handlers are not adequate. Subsequently, a user-perceived LOS model was developed and should be useful in evaluating BHSs nationwide.
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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 | 0.011 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".