摘要
针对EM SR和传统旅客舱位选择行为研究中的不足,以log it模型为基础,运用变精度粗集方法构建了旅客舱位选择模型(passenger seat cho ice m odel,PSCM)和基于PSCM的收益管理模型(revenue based onPSCM,RPSCM),该模型无需知道旅客舱位选择数据集合之外的任何先验信息和旅客舱位选择的概率分布的解析表达式,即可直接求解旅客舱位选择的真实因素及各因素权重,计算出特定航班旅客舱位选择概率和收益值。将计算结果与EM SR为控制策略的航班收益值进行比较,提高了4.82%收益,证明PSCM和RPSCM具有较好应用价值,为航空公司进一步实施收益管理提供了借鉴和新视角。
Considering the limitations of EMSR and traditional study on passenger seat choice behavior,this paper establishes a passenger seat choice model（PSCM） and a revenue based on passenger seat choice model（RPSCM） using variable precision rough set （VPRS） and the logit model. Satisfying the required precision, these models analyze the data set about passenger seat choice and find out the real attributes which affect the choice of passenger on seat and the weights of these attributes without any prior information and the analytic expression function of probability distribution. So PSCM and RPSCM can directly get the real attributes, weights, probability of passenger seat choice and revenue of flight. Comparing with the amount of revenue based on EMSR, which proves that the PSCM and RPSCM have better practical and increase 4.82 percent revenue. The models can offer reference and a new angle for further revenue management in airlines.
出处
《系统工程》
CSCD
北大核心
2006年第9期11-17,共7页
Systems Engineering
基金
中国民用航空总局软科学基金资助项目(2006RKXD17)
中国民用航空总局应用技术基金资助项目(MHRD0622)
