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Record W2337441874 · doi:10.14288/1.0099895

Establishing an appropriate landing fee schedule at Vancouver International Airport

2010· article· en· W2337441874 on OpenAlexaboutno aff
Andrew David Shanks

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldEngineering
TopicAir Traffic Management and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsInternational airportAeronauticsScheduleTransport engineeringBusinessGeographyEngineeringEconomicsManagement

Abstract

fetched live from OpenAlex

The last twenty years has seen a tremendous increase in aviation activity within Canada. Air links have been established and improved and safety standards upgraded to the point where the air can now be regarded as the optimum environment in which to travel. Because of its tremendous popularity, flying has also placed demands on the public purse. Every year more money is allocated to the aviation sector. Until recently, this outflow of funds continued virtually unchecked. With an increasing awareness of ecological balance and the impending depletion of non-renewable resources, public opinion has begun to question the viability of increased aviation investment. In consideration of these factors, this work has investigated the economic theory upon which rational pricing is based. Given the current level of investment, the first chapter examines the relationship between the present level of demand for aviation services, and the appropriate level of price to be assessed against this demand. Demand is also used to formulate a decision framework for future investment in airports. Succeeding chapters introduce research conducted in the United States which attempts to relate the economic theory presented above to a practical pricing schedule. The final chapter incorporates all of the work described above. Using the Airborne Instrument Laboratory, Airport Capacity Handbook, the practical capacity of Vancouver International Airport (movements per hour) is calculated. Consideration is given to prevailing weather patterns as well as the configuration and characteristics of the runways to arrive at the annual capacity of the airport. This capacity figure is then used to determine how appropriate the current levels of landing fees are at Vancouver International Airport. Ratios of processing time are determined for Air Carrier and General Aviation aircraft. These ratios, which reflect the time required for an aircraft of one class to land relative to the time required for an aircraft of the other class to land, are calculated for various mixes of the aircraft population. Using these ratios and weighting them with the frequency with which each ratio could be expected to occur, a schedule of opportunity cost (General Aviation - Air Carrier) is prepared. By applying the latter schedule to the current level of landing fees, an alternate schedule of landing fees at Vancouver International Airport has been calculated. By observing how the level of charges at Vancouver International Airport has been, to some degree, responsible for the pattern of investment there, it is evident that considerable improvement in the allocation of resources can be effected by revising this schedule. Application of the resultant fee schedule will not guarantee an improvement in the economy but utilization of the principles inherent in its derivation, will certainly clarify the direction change must take.

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.

How this classification was reachedexpand

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.004
GPT teacher head0.151
Teacher spread0.147 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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