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Record W3127192791 · doi:10.1139/juvs-2020-0028

Aerial ropeway system — feasibility study in Doha, Qatar

2021· article· en· W3127192791 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Unmanned Vehicle Systems · 2021
Typearticle
Languageen
FieldEngineering
TopicSmart Parking Systems Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismRevenueBusinessOffset (computer science)Capital investmentCapital costInvestment (military)Transport engineeringEnvironmental planningEngineeringEnvironmental resource managementGeographyFinanceComputer scienceEnvironmental science

Abstract

fetched live from OpenAlex

Aerial ropeway systems, also called gondolas and aerial cable cars, are amongst driverless transportation modes, which are progressively drawing attention in promoting tourism. Aerial ropeway systems have been operated in touristic spots (e.g., over lakes, rivers, and hilly lands) in several countries. Passengers can enjoy a view from above and experience a stress-free and reliable trip. Furthermore, those systems can be exploited as public transportation in urbanized and populated regions. The objective of this article is to investigate the viability of implementing a gondola line over Doha Bay in Qatar as a tourist attraction from marketing, economic, and environmental points of view. In this study, the associated costs (capital, maintenance, and operating) of implementing a monocable detachable gondola technology (MDG) are estimated using international best practices. The economic analysis outcome demonstrates that the revenues generated from fares could offset the required capital investment as well as operating and maintenance costs and hence the proposed gondola could be economically attractive for investors. Moreover, no significant negative impacts and footprint on the environment are anticipated at the exploitation phase of the gondola.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.283
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it