Complexity of airlines' dynamic price competition with delayed decision

被引:0
作者
Hu, Rong [1 ]
Li, Tianrui [1 ]
Zhang, Jun [1 ]
Jiang, Chao [1 ]
机构
[1] College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing
关键词
Airlines; Complexity; Delayed decision; Price competition; Theory of bifurcation;
D O I
10.13306/j.1672-3813.2015.01.007
中图分类号
学科分类号
摘要
To investigate the influence of delayed decision and bounded rationality on complexity of airlines' price competition, the airlines' dynamic price competition model based on delayed bounded rationality was established by using the theory of bifurcation of dynamic systems. Theoretic analysis and numerical simulations were provided to study the complex dynamics of this model. The results show that the larger weight of delayed decision can enlarge the stability region of the model and shorten the time of the model to reach the equilibrium points. When the model is unstable, it is more beneficial for airlines to use delayed decision. And once an airline uses delayed decision, the free-rider problem can be shown from the competitors who will get extra profits. It is important to choose a reasonable weight of delayed decision to balance airlines' market performance. ©, 2015, The Journal Agency of Complex Systems and Complexity Science. All right reserved.
引用
收藏
页码:46 / 52
页数:6
相关论文
共 17 条
  • [1] Gallego G., Hu M., Finite horizon dynamic pricing of perishable assets under competition, 6th Annual Conference of the Revenue Management and Pricing Informs Section, (2006)
  • [2] Gao Q., Zhu J., Lan B., Research of application of revenue management in civil airline, Science Research Management, 27, 6, pp. 125-129, (2006)
  • [3] Jing C., Sun H., Zeng W., Game theory analysis and explanation of air ticket price control problem, China Soft Science, 23, 3, pp. 140-147, (2008)
  • [4] Mei H., Zhu J., Wang X., Research on Revenue Management Pricing of Airlines Based on Game Theory, Forecasting, 25, 6, pp. 45-49, (2006)
  • [5] Mantin B., Koo B., Dynamic price dispersion in airline markets, Transportation Research Part E, 45, 6, pp. 1020-1029, (2009)
  • [6] Wang R., Game theory analysis of airline price competition, Techno economics & Management Research, 23, 3, pp. 81-82, (2004)
  • [7] Martin J.C., Roman C., Hub location in the South-Atlantic airline market: a spatial competition, Transportation Research Part A, 37, 10, pp. 865-888, (2003)
  • [8] Xiao Y., Game theory model of dual oligopoly airlines competition pricing, Journal of Civil Aviation University of China, 26, 6, pp. 52-55, (2008)
  • [9] Forbes S.J., The effect of air traffic delays on airline prices, International Journal of Industrial Organization, 26, 4, pp. 1218-1232, (2008)
  • [10] Aguirregabiria V., Ho C.-Y., A dynamic game of airline network competition: hub-and-spoke networks and entry deterrence, International Journal of Industrial Organization, 28, 4, pp. 377-382, (2010)