中国民航大学学报

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影响航空公司客流分担率的服务属性因素分析———以京沪快线为例

赵桂红,郑兴,何宏盛   

  1. (中国民航大学经济与管理学院,天津300300)
  • 收稿日期:2014-09-30 修回日期:2012-12-22 出版日期:2016-04-23 发布日期:2016-06-03
  • 作者简介:赵桂红(1969—),女,黑龙江鸡西人,硕士,教授,研究方向为航空运输运营管理.
  • 基金资助:

    中国民用航空局科技创新项目(MHRD20130216)

Analysis of airline's service attributes on passenger-sharing rate:Take Beijing-Shanghai Air Express for instance

ZHAO Guihong, ZHENG Xing, HE Hongsheng   

  1. (College of Air Traffic Management, CAUC, Tianjin 300300, China)
  • Received:2014-09-30 Revised:2012-12-22 Online:2016-04-23 Published:2016-06-03

摘要:

分析同一条航线上的航空公司哪些服务属性差异会对各自的客流分担率造成影响,方便航空公司改进自身的服务水平。以京沪快线东航、国航和上航3 家航空公司服务属性的有关数据为例,通过构建多项LOGIT 模型以及模型转化后所得的多元回归方程,得出航班量对于3 家航空公司各自间客流分担率的比值具有显著影响的结论。另外,对结果进行分析比较,可以得出旅客选择3 家航空公司所具备的服务优越性的先后顺序。

关键词: LOGIT模型, 多元回归, 客流分担率, 京沪快线

Abstract:

Differences between airlines'service attributes which may influence their passenger-sharing rates are analyzed,and these airlines are on the same air route. The result can help airlines improve their service levels effectively.Based on the data of China Eastern Airlines, Air China and Shanghai Airlines which are all on the Beijing-Shanghai Air Express, LOGIT model and multiple regression equation which is obtained from the model are constructed, results show that the number of flights has a significant impact on the three airlines'passengersharing rates. In addition, after making analysis of the final model, the sequence of service superiority between the three airlines is found.

Key words: LOGIT model, multiple regression, passenger-sharing rate, Beijing-Shanghai Air Express

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