Market share analysis: International direct offer to and from Bogota’s International Airport El Dorado (2017-2019)
Bibliographic record
Abstract
The objective of this research is to measure the market share generated by commercial passenger transport airlines that operate direct international routes to and from El Dorado International Airport during the study period 2017-2019, as well as to identify the size of airlines' offer and the market leader, and observing its behavior; considering this airport as the main and most important one in Colombia, as well as cataloged and awarded as one of the best airports in South America by the criteria of the recognized and significant Skytrax awards of the aviation industry; Likewise, this work handles a qualitative-quantitative, exploratory and descriptive bibliographic approach based on the synthetic and deductive-inductive methods applied in the process for obtaining the results and revealed in the analysis presented about the market share reflected by the studied airlines, through the quantitative data collected about the direct international routes handled by each one of them, the size of the market and its evolution throughout the study period. Keywords: Market share, international direct routes, airlines, airport. References [1]Aeronáutica Civil- Unidad Administrativa Especial de Colombia, «Current Challenges un Inernational Air Transportation,» La Aviación en Cifras, vol. I, nº 1, pp. 4-59, 2017. [2]S. Suñol, «Asepctos Teóricos de la Competitividad,» Ciencia y Sociedad, vol. XXXI, nº 2, pp. 179-198, 2006. [3]C. Agostini, «El Mercado del Transporte Aéreo: Lecciones de Política de una Revisón de Literatura,» Journal o Transport Literature, vol. VI, nº 3, pp. 239-277, 2012. [4]M. G. Ribadeneira Páez, S. Vega- Pérez y J. Cruz- Pierard, «Conectividad aerocomercial internacional: Análisis comparativo- Aeropuerto Internacional Mariscal Sucre frente a El Dorado y Arturo Merino Benítez (2017-2019),» Dominio de las Ciencias, vol. VII, nº 1, pp. 810-830, 2021. [5]Aeropuerto Internacional El Dorado, Aeropuerto El Dorad parte de la historia de Colombia, Bogotá, 2019. [6]OPAIN S.A, Consesionario del Aeropuerto Internacional El Dorado. [7]Atlassian Confluence Community, Colombia El Dorado Aeropuerto Internacional. [8]Notrimérica, El Aeropuerto El Dorado de Bogotá eleva su capacidad a 43 millones de pasajeros anuales, 2017. [9]Caracol Radio, El Dorado ya cuenta con tecnología que permite aterrizar con baja visibilidad en Bogotá, 2017. [10]Aeropuerto Internacional El Dorado, Certificados y Reconocimientos otorgados a El Dorado. [11]International Air Transportation Assosiation, Glossary, 2018. [12]R. Lim, Aviation in Transition: Challenges & Opportunities of Liberalization- Session 4: Safeguards and Sustainability, Montreal: ICAO Headquarters, 2003. [13]D. Babié, J. Kuljanin y M. Kalié, «Market Share modeling in airline industry: An emerging market economies application,» Transportation Research Procedia, vol. III, pp. 384-392, 2014. [14]E. Acero, E. Fajardo y H. Romero, «El mercado de transporte aéreo en América,» Espacios, vol. XXXIX, nº 3, 2017. [15]J. Cruz Cañón y D. Beltrán Hernández, La estrategia en la perdurabilidad empresarial. Un estudio de la segunda aerolínea más antigua del mundo: Avianca., Bogotá: Universidad del Rosario, 2016.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".