Aerial Ropeway Transportation Systems in the Urban Environment: State of the Art
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The evolution of public transit modes has been remarkable, fueled by the need for different transit modes to handle different demand levels, urban environment patterns, and natural constraints and barriers. One of these needs is the desire to overcome geographical and topographical barriers such as mountains, valleys, and bodies of water, which cannot be conquered by conventional transit modes without very large investments and changes made to the natural topography. Aerial ropeway transit (ART), a type of aerial transportation mode in which passengers are transported in a cabin that is suspended and pulled by cables, is one of the solutions to such cases. ART has its origins in aerial lifts that have been used for decades in Alpine ski resorts to transport skiers and tourists in cable-suspended cabins. The use of aerial transportation in the urban environment, which was once considered an unlikely possibility, has gained more attention worldwide, and it is now used as a public transit mode in several terrain-constrained urban areas around the world. This article describes the origins of aerial transportation and its advantages, components, service characteristics, available technologies, and applications around the world. The paper concludes with a fair assessment of the existing ART technologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it