Cooperative game study of airlines based on flight price optimization in times of COVID-19

&nbsp;International and domestic travel increase the likelihood of the speed of the spread of infectious diseases. Little information is available on the operation of major airports and local government regulations on the transmission of respiratory infections. We investigated the frequency...

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Autores:: palomino, kevin rafael
Berdugo Correa, Carmen

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad de San Buenaventura

Repositorio:: Repositorio USB

Idioma:: spa

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dc.title.spa.fl_str_mv	Cooperative game study of airlines based on flight price optimization in times of COVID-19
dc.title.translated.eng.fl_str_mv	Cooperative game study of airlines based on flight price optimization in times of COVID-19
title	Cooperative game study of airlines based on flight price optimization in times of COVID-19
spellingShingle	Cooperative game study of airlines based on flight price optimization in times of COVID-19 Airports, 2019-nCoV, spatial analysis, cooperative games, game theory, optimization. Airports, 2019-nCoV, spatial analysis, cooperative games, game theory, optimization.
title_short	Cooperative game study of airlines based on flight price optimization in times of COVID-19
title_full	Cooperative game study of airlines based on flight price optimization in times of COVID-19
title_fullStr	Cooperative game study of airlines based on flight price optimization in times of COVID-19
title_full_unstemmed	Cooperative game study of airlines based on flight price optimization in times of COVID-19
title_sort	Cooperative game study of airlines based on flight price optimization in times of COVID-19
dc.creator.fl_str_mv	palomino, kevin rafael Berdugo Correa, Carmen
dc.contributor.author.spa.fl_str_mv	palomino, kevin rafael Berdugo Correa, Carmen
dc.subject.eng.fl_str_mv	Airports, 2019-nCoV, spatial analysis, cooperative games, game theory, optimization.
topic	Airports, 2019-nCoV, spatial analysis, cooperative games, game theory, optimization. Airports, 2019-nCoV, spatial analysis, cooperative games, game theory, optimization.
dc.subject.spa.fl_str_mv	Airports, 2019-nCoV, spatial analysis, cooperative games, game theory, optimization.
description	&nbsp;International and domestic travel increase the likelihood of the speed of the spread of infectious diseases. Little information is available on the operation of major airports and local government regulations on the transmission of respiratory infections. We investigated the frequency of air travel given the presence of 2019-nCoV in the passenger environment on the London-New York route to identify which scenario is of maximum benefit in the four-airline alliance. A&nbsp; theoretical model was made and then several scenarios were simulated to determine the optimal parameters of the cooperative game (airline alliance). &nbsp;An alliance for British Airways is convenient under the scenario proposed, increasing the ticket price to its historical maximum, sharing demand equally with the other airlines, and maintaining fixed flight costs. In addition, cooperation with the other airlines&nbsp; will allow British to decrease its frequency of travel but earn higher total profit. It was also shown that deviating from the coalition is a feasible scenario under the assumption. Finally,&nbsp; it was found that the variables price, flight costs, and demand discount rate are important&nbsp; when deciding to collude with the competition.&nbsp;
publishDate	2025
dc.date.accessioned.none.fl_str_mv	2025-07-10T11:55:06Z 2025-08-22T17:04:30Z
dc.date.available.none.fl_str_mv	2025-07-10T11:55:06Z 2025-08-22T17:04:30Z
dc.date.issued.none.fl_str_mv	2025-07-10
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.doi.none.fl_str_mv	10.21500/20275846.6377
dc.identifier.eissn.none.fl_str_mv	2027-5846
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/10819/29036
dc.identifier.url.none.fl_str_mv	https://doi.org/10.21500/20275846.6377
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url	https://hdl.handle.net/10819/29036 https://doi.org/10.21500/20275846.6377
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dc.relation.bitstream.none.fl_str_mv	https://revistas.usb.edu.co/index.php/IngUSBmed/article/download/6377/5661
dc.relation.citationedition.spa.fl_str_mv	Núm. 1 , Año 2025 : Ingenierías USBMed
dc.relation.citationendpage.none.fl_str_mv	20
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dc.relation.citationstartpage.none.fl_str_mv	10
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dc.relation.ispartofjournal.spa.fl_str_mv	Ingenierías USBMed
dc.relation.references.spa.fl_str_mv	N. Zhu et al., “A Novel Coronavirus from Patients with Pneumonia in China, 2019,” N. Engl. J. Med., vol. 382, Jan. 2020. [2] S. K. Dey, M. Mahbubur Rahman, U. R. Siddiqi, A. Howlader, and B. K. Correspondence Samrat Dey, “Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach,” J Med Virol, pp. 1–7, 2020. [3] X. Jiang, S. Rayner, and M. Luo, “Does SARS‐CoV‐2 has a longer incubation period than SARS and MERS?,” J. Med. Virol., vol. 92, no. 5, pp. 476–478, May 2020. [4] Q. Ruan et al., “Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China,” Intensive Care Med., 2020. [5] Novel Coronavirus Pneumonia Emergency Response Epidemiology Team, “The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) ,” Chinese J. Epidemiol., vol. 41, no. 2, pp. 145–151, 2020. [6] N. Ikonen et al., “Deposition of respiratory virus pathogens on frequently touched surfaces at airports,” BMC Infect. Dis., pp. 18–437, 2018. [7] A. Goubar, D. Bitar, D. Feng, L. Q. Fang, and J. Desenclos, “An approach to estimate the number of SARS cases imported by international air travel,” vol. 137, pp. 1019–1031, 2009. [8] W. Liu, W. Yang, and X. Zhu, “Cooperative Game Study of Airlines Based on Flight Frequency Optimization,” J. Appl. Math., pp. 1–5, 2014. [9] V. Vaze and R. Harder, “A game-theoretic modeling approach to air traffic forecasting,” in 12th USA/Europe Air Traffic Management R and D Seminar, 2017. [10] W. Grauberger and A. Kimms, “Revenue management under horizontal and vertical competition within airline alliances,” Elsevier, vol. 59, pp. 228–237, 2016. [11] X. Hu, R. Caldentey, and G. Vulcano, “Revenue sharing in airline alliances,” Manage. Sci., vol. 59, no. 5, pp. 1177–1195, May 2013. [12] M. Hansen, “Airline competition in a hub-dominated environment: An application of noncooperative game theory,” Transp. Res. Part B, vol. 24, no. 1, pp. 27–43, Feb. 1990. [13] S. Hong and P. T. Harker, “Air traffic network equilibrium: Toward frequency, price and slot priority analysis,” Transp. Res. Part B, vol. 26, no. 4, pp. 307–323, Aug. 1992. [14] P. Zito, G. Salvo, and L. La Franca, “Modelling airlines competition on fares and frequencies of service by bi-level optimization,” Procedia - Soc. Behav. Sci., vol. 20, pp. 1080–1089, Jan. 2011. [15] M. Hansen and Y. Liu, “Airline competition and market frequency: A comparison of the s-curve and schedule delay models,” Transp. Res. Part B Methodol., vol. 78, pp. 301–317, Aug. 2015.
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spelling	palomino, kevin rafaelBerdugo Correa, Carmen2025-07-10T11:55:06Z2025-08-22T17:04:30Z2025-07-10T11:55:06Z2025-08-22T17:04:30Z2025-07-10&nbsp;International and domestic travel increase the likelihood of the speed of the spread of infectious diseases. Little information is available on the operation of major airports and local government regulations on the transmission of respiratory infections. We investigated the frequency of air travel given the presence of 2019-nCoV in the passenger environment on the London-New York route to identify which scenario is of maximum benefit in the four-airline alliance. A&nbsp; theoretical model was made and then several scenarios were simulated to determine the optimal parameters of the cooperative game (airline alliance). &nbsp;An alliance for British Airways is convenient under the scenario proposed, increasing the ticket price to its historical maximum, sharing demand equally with the other airlines, and maintaining fixed flight costs. In addition, cooperation with the other airlines&nbsp; will allow British to decrease its frequency of travel but earn higher total profit. It was also shown that deviating from the coalition is a feasible scenario under the assumption. Finally,&nbsp; it was found that the variables price, flight costs, and demand discount rate are important&nbsp; when deciding to collude with the competition.&nbsp;application/pdf10.21500/20275846.63772027-5846https://hdl.handle.net/10819/29036https://doi.org/10.21500/20275846.6377spaUniversidad San Buenaventura - USB (Colombia)https://revistas.usb.edu.co/index.php/IngUSBmed/article/download/6377/5661Núm. 1 , Año 2025 : Ingenierías USBMed2011016Ingenierías USBMedN. Zhu et al., “A Novel Coronavirus from Patients with Pneumonia in China, 2019,” N. Engl. J. Med., vol. 382, Jan. 2020. [2] S. K. Dey, M. Mahbubur Rahman, U. R. Siddiqi, A. Howlader, and B. K. Correspondence Samrat Dey, “Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach,” J Med Virol, pp. 1–7, 2020. [3] X. Jiang, S. Rayner, and M. Luo, “Does SARS‐CoV‐2 has a longer incubation period than SARS and MERS?,” J. Med. Virol., vol. 92, no. 5, pp. 476–478, May 2020. [4] Q. Ruan et al., “Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China,” Intensive Care Med., 2020. [5] Novel Coronavirus Pneumonia Emergency Response Epidemiology Team, “The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) ,” Chinese J. Epidemiol., vol. 41, no. 2, pp. 145–151, 2020. [6] N. Ikonen et al., “Deposition of respiratory virus pathogens on frequently touched surfaces at airports,” BMC Infect. Dis., pp. 18–437, 2018. [7] A. Goubar, D. Bitar, D. Feng, L. Q. Fang, and J. Desenclos, “An approach to estimate the number of SARS cases imported by international air travel,” vol. 137, pp. 1019–1031, 2009. [8] W. Liu, W. Yang, and X. Zhu, “Cooperative Game Study of Airlines Based on Flight Frequency Optimization,” J. Appl. Math., pp. 1–5, 2014. [9] V. Vaze and R. Harder, “A game-theoretic modeling approach to air traffic forecasting,” in 12th USA/Europe Air Traffic Management R and D Seminar, 2017. [10] W. Grauberger and A. Kimms, “Revenue management under horizontal and vertical competition within airline alliances,” Elsevier, vol. 59, pp. 228–237, 2016. [11] X. Hu, R. Caldentey, and G. Vulcano, “Revenue sharing in airline alliances,” Manage. Sci., vol. 59, no. 5, pp. 1177–1195, May 2013. [12] M. Hansen, “Airline competition in a hub-dominated environment: An application of noncooperative game theory,” Transp. Res. Part B, vol. 24, no. 1, pp. 27–43, Feb. 1990. [13] S. Hong and P. T. Harker, “Air traffic network equilibrium: Toward frequency, price and slot priority analysis,” Transp. Res. Part B, vol. 26, no. 4, pp. 307–323, Aug. 1992. [14] P. Zito, G. Salvo, and L. La Franca, “Modelling airlines competition on fares and frequencies of service by bi-level optimization,” Procedia - Soc. Behav. Sci., vol. 20, pp. 1080–1089, Jan. 2011. [15] M. Hansen and Y. Liu, “Airline competition and market frequency: A comparison of the s-curve and schedule delay models,” Transp. Res. Part B Methodol., vol. 78, pp. 301–317, Aug. 2015.Ingenierías USBMed - 2025info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.https://creativecommons.org/licenses/by-nc-nd/4.0https://revistas.usb.edu.co/index.php/IngUSBmed/article/view/6377Airports, 2019-nCoV, spatial analysis, cooperative games, game theory, optimization.Airports, 2019-nCoV, spatial analysis, cooperative games, game theory, optimization.Cooperative game study of airlines based on flight price optimization in times of COVID-19Cooperative game study of airlines based on flight price optimization in times of COVID-19Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2609https://bibliotecadigital.usb.edu.co/bitstreams/42d221eb-528a-4bb2-96e1-c21a1df9ecce/downloadd4b1faccc1a66c202dd16b2f800a29a9MD5110819/29036oai:bibliotecadigital.usb.edu.co:10819/290362025-08-22 12:04:30.228https://creativecommons.org/licenses/by-nc-nd/4.0https://bibliotecadigital.usb.edu.coRepositorio Institucional Universidad de San Buenaventura Colombiabdigital@metabiblioteca.com

Cooperative game study of airlines based on flight price optimization in times of COVID-19

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