基于机型等级的航线市场细分方法研究  

Study of Airline Routes Segment Method Based on Aircraft Type Class

作　　者：孙宏[1] 景崇毅[1] 黄赶祥 王晓东[1] 

机构地区：[1]中国民航飞行学院,四川广汉618307

出　　处：《中国民航飞行学院学报》2016年第1期13-16,22,共5页Journal of Civil Aviation Flight University of China

基　　金：国家自然科学基金(61179074);民航科技项目(MHRD20130303)

摘　　要：提出了一种基于机型型别等级的航线市场细分方法。该方法先将飞机按座级划分为四个等级,然后根据各航线上每种座位等级的航班比例,利用设计的基于组间组内距离(BWP)指标、以极大极小算法确定初始聚类中心的K-Means集成聚类算法,对选取的35条高客流航线进行精细聚类。聚类结果显示35条航线可以很好地划分为3类航线市场。聚类结果合理且与现实基本吻合,可为飞机制造商设计合适机型、准确预测飞机需求量等活动提供重要的决策依据。A new method of airline routes segment method based on aircraft type class is developed. First, we divide the aircraft into four ranks based on the seat class. Second, we design a new KMeans cluster algorithm, in which a maximization minimum algorithm is used to determine the initial centers and BWP（Between-Within Proportion） index for input of optimal k, and the method is used on segmenting 35 airline routes samples based on the four aircraft-rank flight frequency proportion of the routes. The calculating results show that the airline routes are supposed to classify into 3 categories, the cluster result is reasonable and realistic. This airline routes segmentation method is useful for aircraft manufacturers to design appropriate aircraft type and forecast market demands rightly.

关 键 词：航空运输 机型座级 市场细分 聚类算法 飞机制造商 

分 类 号：V35[航空宇航科学与技术—人机与环境工程]