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基于元胞自动机的航空市场竞争演化模型 被引量:2

The Evolution of Aviation Market Competition Based on Cellular Automata
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摘要 为研究航空市场的竞争演化,本文分别建立了商务旅客和旅游旅客的元胞自动机模型,通过Matlab编程,以深圳—北京航线及深航在该航线的运营为例模拟了竞争演化过程,实证分析了票价、航班频率以及航空公司核心竞争力分别对航空公司市场占有率及盈利水平的影响。结论表明航空公司要在激烈的竞争中胜出必须依靠自身的核心竞争力,并使之不断得到提高,特别地,核心竞争力只有接近或超过行业标杆水平时方能发挥其重要的作用。 In order to research the competition evolution of aviation market, this paper builds up the Cellular Automata model of business and travel passengers of the aviation market. Through Matlab software, it takes Shenzhen-Beijing market and the operation of Shenzhen airlines on it as an example to simulate the evolution of competition, tanalysis the effect of ticket price, flight frequency and core competence which affect the airlines' market share and payoff status. The results indicate that airlines want to succeed during the acute competition, have to relay on the core competence of itself, and make it become better and better. Especially, the core competence could play the important roles while it is close or excess to surveyor's pole of the industry.
出处 《中国管理科学》 CSSCI 北大核心 2010年第4期158-164,共7页 Chinese Journal of Management Science
基金 中国民用航空局软科学项目(KS2321) 国家自然科学基金资助项目(60979021)
关键词 元胞自动机 商务旅客 旅游旅客 核心竞争力 市场竞争 演化 cellular automata business passenger travel passenger core competence marketing competition evolution
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参考文献13

  • 1Wei W. B. , Mark H. Airlines' competition in aircraft size and service frequency in duopoly markets [J].Transportation Research Part E,2007,43(4): 409- 424.
  • 2Jou R. C. , etc. The effect of service quality and price on international airline competition [J]. Transportation Research Part E,2008,44(4): 580-592.
  • 3Gillen D. , Morrison W. G. Regulation, competition and network evolution in aviation [J]. Journal of Air Transport Management, 2005(11):161 - 174.
  • 4伊楠,霍国庆.我国航空公司核心竞争力研究[J].管理现代化,2007,27(6):21-23. 被引量:12
  • 5Neumann, J. V. Theory of self-reproducing automata [M]. Urbana: University of Illinois Press, 1966.
  • 6Fuentes M. A. , Kuperman M, N. Cellular automata and epidemiological models with spatial dependence[J].Physica A, 1999,267(3-4): 471-486.
  • 7Bhargava S. C. , Kumar A. Mukherjee A. A stochastic cellular automata model of innovation diffusion [J]. Technological Forecasting and Social Change, 1992 (44): 87-97.
  • 8Wolf D E. Cellular automata for traffic simulations[J]. Physica A, 1999(263)(1-4): 438-451.
  • 9张廷,高宝俊,宣慧玉.创新扩散中广告投放效果的元胞自动机仿真[J].科技进步与对策,2009,26(1):134-137. 被引量:11
  • 10黄沛,夏若虹.混沌状态下的市场营销问题——渗透原理及其模型[J].系统工程,1998,16(1):36-43. 被引量:7

二级参考文献21

  • 1应尚军,魏一鸣,蔡嗣经.元胞自动机及其在经济学中的应用[J].中国管理科学,2000,8(S1):272-278. 被引量:29
  • 2肖海林,邓敏艺,孔令江,刘慕仁.元胞自动机舆论模型中人员移动对传播的影响[J].系统工程学报,2005,20(3):225-231. 被引量:37
  • 3罗洪波.全面推进企业文化建设不断提升国航核心竞争力[J].中国民用航空,2006(3):20-22. 被引量:1
  • 4ROGERS E M. Diffusion of Innovations [M].New York: The Free Press, 1995:1-5.
  • 5MANSFIELD,E.Technological Change and the Rate of Imitation[J]. Econometrica, 1961, 29(10): 741-766.
  • 6BASS F M. A New Product Growth for Model Consumer Durables[J]. Management Sciences, 1969, 15 (5):215-227.
  • 7NEUMANN J V. Edited by Burks A. W. Theory of Self-Reproducing Automata [M ].Urbana: University of Illinois Press, 1966.
  • 8WOLF D E. Cellular Automata for Traffic Simulations [J]. Physiea A, 1999(263) ( 1-4): 438-451.
  • 9HAKMAN A W,ANDREW H, PETER D.Autonomous Agent Models of Stock Markets [J]. The Artificial Intelligence Review, 2002, 17(2): 87.
  • 10FUENTES M A, KUPERMAN M N. Cellular Automata and Epidemiological Models with Spatial Dependence [J]. Physica A, 1999(267)(3-4): 471-486.

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