Multicriteria evaluation of the high speed rail, transrapid maglev and hyperloop systems
Bibliographic record
Abstract
This paper presents the multicriteria evaluation of the High Speed Rail (HSR), TransRapid Maglev (TRM) and Hyperloop (HL) passenger transport system assumed to operate as the mutually exclusive alternatives along the given line/corridor. For such a purpose the methodology is synthesized consisting of the analytical models of indicators of performances of these systems used as the evaluation criteria and the multicriteria Simple Additive Weighting (SAW) method. Given the characteristics of infrastructure and rolling stock/fleet of vehicles/trains reflecting the systems’ infrastructural and technical/technological performances, the indicators of operational, economic, environmental, and social performances are defined and modelled respecting the interests and preferences of the particular actors/stakeholders involved. These are users/passengers, the systems’ transport operators, local, regional, and national authorities and investors, and community members. The proposed methodology is applied to the line/corridor Moscow – St. Petersburg (Russia) by assuming that three HS systems exclusively operate there according to “what-if’ scenario approach. The results indicate that, under given conditions, the HL is the preferable compared to the TRM and HSR alternative.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".