Trends and Prospects of the Development of the Global and National Air Transport Markets
Bibliographic record
Abstract
The article identified the preconditions for the development of the world economy which included the processes of globalization and internationalization. The role of air transport in the world economy is emphasized because its weight grows every year, because it provides the development of tourism, international programs and cooperation between individual regions of the world. There has been an increase in the number of multinational corporations, increasing the mobility of business passengers what is very important for the airlines. The critical analysis of scientific publications made it possible to state that in Ukraine and abroad the development of the air transportation market was studied by many scientists and their contribution to solving a number of scientific problems related to identifying prospects and opportunities for international and national air transportation markets as well as with the optimization of air carriers is important. However, it was found that insufficient research on recent trends and prospects for the development of global and national air transport markets is in the face of new challenges including the outbreak of coronavirus infection COVID-19. It was found that air passenger traffic in the global market has grown steadily in recent years by 7-8% every year and a quarter of sales depend on the regularity of air transportation of which 70% of this type of business determine the vectors of market expansion. The analysis of aviation accidents revealed that they have a very significant impact on the performance of the carrier whose aircraft suffered them. This applies to both reputational and purely financial losses. The problems with the Boeing 737 Max type also became a serious challenge for the aviation industry due to a number of incorrect design decisions of the world’s leading aviation concern and attempts to save on the training of pilots of this type of aircraft. It is noted that modern passengers are trying to minimize the time spent on travel, the trend of fragmentation of the holiday period is growing rapidly. As a result of the analysis of the domestic air transportation market, it was revealed that during 2019 there was an expansion of the market in general, as well as the activities of foreign airlines, travel from Ukraine to Europe and other parts of the world increased rapidly. A radical change in market trends was observed in mid-March 2020, when due to the spread of the COVID-19 coronavirus in the world, quarantine was introduced and regular flights were stopped. The national air carrier Ukraine International Airlines has declared a two-stage period of resumption of work after the end of quarantine. The authors found signs of hybridization of the airline’s business models at the first stage of the restart and the transition to the airline’s business model which has features of both point-to-point models and obvious features of the model of low-cost carriers. Whereas in the second stage the transition to a partial network model with low-cost models is most likely followed by the emergence of a new already stable hybrid business model based on network principles but with stable features of a low-cost airline.
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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 | 0.001 |
| 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".