交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (2): 33-39.

• 综合交通运输体系论坛 • 上一篇    下一篇

联盟环境下国际航线市场份额预测方法研究

赵晓松 1, 2,朱金福*1,葛伟 3   

  1. 1. 南京航空航天大学 民航学院,南京 210016;2. 厦门航空公司,厦门 361000; 3. 南京邮电大学 管理学院,南京 210023
  • 收稿日期:2017-12-29 修回日期:2018-01-22 出版日期:2018-04-25 发布日期:2018-04-25
  • 作者简介:赵晓松(1963-),男,黑龙江鹤岗人,博士生.
  • 基金资助:

    国家自然科学基金/ National Natural Science Foundation of China(71171111);民航科技创新引导资金/ Civil Aviation Science and Technology Innovation Guide Funding Project(MHRD20140307);江苏高校哲学社会科学研究基金/ Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province (2014SJB010).

Market Share Forecasting Method of International Routes in Alliance Environment

ZHAO Xiao-song1, 2, ZHU Jin-fu1, GE Wei3   

  1. 1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2. Xiamen Airlines, Xiamen 361000, China; 3. School of Economics and Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
  • Received:2017-12-29 Revised:2018-01-22 Online:2018-04-25 Published:2018-04-25

摘要:

与一般的航线市场份额预测不同,联盟环境下国际航线合作产品是双方或多方一体化运作,产品属性复杂,预测难度大,因此,有必要探寻一种科学合理的预测方法.本文在经典QSI模型的基础上,应用大量国际航线运营数据,对路径产品各项属性进行测试筛选,提出一套改进的QSI指标体系.进一步使用中美航空市场实际数据对本文提出的QSI模型进行试验分析.结果表明,本文建立的QSI改进模型能够较好地预测国际航线市场份额,效果优于经典的QSI模型.

关键词: 航空运输, 市场份额预测, QSI模型, 国际航线, 联盟合作

Abstract:

Unlike the forecast of general routes’ market share, the routes’ attributes are complex and difficult to predict the market share, for international routes often need cooperation of two or more carriers, and the corresponding products are unified or diversified. It is necessary to explore a scientific and reasonable method of forecasting. Based on the QSI model, this paper proposes an improved QSI index system by selecting the attributes of the transportation products among the large data of international air transport. The proposed model in this paper is also used to predict the market share of China-USA. The results show that the improved QSI model is more suitable for predicting the market share of international routes than the classical QSI model.

Key words: air transportation, market share forecast, QSI model, international routes, alliance

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