期刊文献+

基于非齐次旅客到达选择的舱位控制比较研究 被引量:4

Comparative Analysis on Inventory Control Based on Non-homogeneous Passengers Arrival and Selection
在线阅读 下载PDF
导出
摘要 舱位控制是航空公司实施收益管理的核心目标,由于传统的舱位控制方法并不考虑旅客的选择行为,易于导致高价旅客购买低价舱位,对于多等级票价方面的应用存在缺陷。于是,该文从旅客选择的角度,以研究多等级舱位分配问题为目的。通过对旅客效用和偏好的分析,采用离散选择模型作为建模方法,构建了基于非齐次旅客到达选择的动态舱位控制算法,并采用仿真实验与传统的期望边际收益算法进行比较。实验结果表明,考虑旅客选择行为的算法更具潜在增加航空公司收益的应用价值。 Inventory control is the core objective of airline revenue management, but traditional seat inventory control method does not consider the behavior of passengers" choice, which leads to the high-priced travelers buying the lower-price seats, which is not conductive to the application of multi-class fares. So from the perspective of the choice for passengers, study the multi-level inventory allocation. The method chooses the discrete choice model to build the dynamic seat inventory control algorithm based on non-homogeneous passen- gers arrival. And this method will compare with the traditional expectations of marginal revenue algorithm by using simulation. The exper- iments demonstrate that this alzorithm considering the passengers' choice is more potential to apply to the revenue management.
作者 樊玮 刘向荣
出处 《计算机技术与发展》 2013年第5期167-171,共5页 Computer Technology and Development
基金 科技部863重大专项(20060112A1037)
关键词 舱位控制 旅客选择 离散选择模型 EMSR模型 seat control passenger choice discrete choice model EMSR model
  • 相关文献

参考文献5

二级参考文献118

共引文献119

同被引文献38

  • 1杨慧,陈兰,徐红利.收益管理情境下旅客购票的效用度量函数研究[J].中国管理科学,2013,21(S1):38-42. 被引量:2
  • 2高强,朱金福,陈可嘉.航空收益管理中多航段舱位控制模型[J].交通运输工程学报,2005,5(4):82-85. 被引量:19
  • 3肖文莉,周蓉,王昊.租车行业收益管理研究现状及前景展望[J].物流科技,2007,30(1):80-84. 被引量:5
  • 4罗利,彭际华.竞争环境下的民航客运收益管理动态定价模型[J].系统工程理论与实践,2007,27(11):15-25. 被引量:29
  • 5钟之阳,李金林,冉伦.基于乘客选择行为的民航收益管理模型比较研究[J].中国管理科学,2009,10(17):7-10.
  • 6Belobaba P P. Did LCCs save airline revenue management [J]. Journal of Revenue Pricing Management, 2011, 10 (1): 19-22.
  • 7Jingqian4g Charles Guo. Estimation of sen-up potential in airlinerevenue management systems [D]. Cambridge: Flight Transporta- tion Laboratory, Massachusetts Institute of Technology, 2008.
  • 8Sarvee Diwan. Performance of dynamic programming methods in airline revenue management [D]. Cambridge: Flight Trans- portation Laboratory, Massachusetts Institute of Technology, 2010.
  • 9Emmanuel Carrier. Modeling the choice of an airline itinerary and fare product using booking and seat availability data[D]. US: Massachusetts Institute of Technology, 2008.
  • 10Tomasz Drabas, Wu Cheng-Lung. Modeling passenger's air line ticket choice using segment specific cross nested logit model with brand loyalty [D]. Sydney: University of New South Wales, 2012.

引证文献4

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部