基于乘客惰性行为的平行航班动态定价

doi:10.12005/orms.2018.0092

运筹与管理 ›› 2018, Vol. 27 ›› Issue (4): 112-117.DOI: 10.12005/orms.2018.0092

基于乘客惰性行为的平行航班动态定价

胡玉生¹, 李金林², 冉伦², 陈亚红²

1.北京市新技术应用研究所,北京 100094;
2.北京理工大学管理与经济学院,北京 100081

收稿日期:2015-06-03 出版日期:2018-04-25
通讯作者: 陈亚红(1990-),女,河南驻马店人,通讯作者,博士,研究方向为收益管理。
作者简介:胡玉生(1981-),男,安徽蚌埠人,助理研究员,博士,研究方向为收益管理。
基金资助:
北京理工大学国际科技合作专项计划项目(GZ2014215101);高等学校博士学科点专项科研基金(20121101110054);国家自然科学基金资助项目(71432002,71172172,71272058,71672011)

Dynamic Pricing of Parallel Flights Basedon Passenger Inertia Behavior

HU Yu-sheng¹, LI Jin-lin², RAN Lun², CHEN Ya-hong²

1.Beijing Institute of New Technology Applications, Beijing 100094, China;
2.School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China

Received:2015-06-03 Online:2018-04-25

摘要/Abstract

摘要： 在同一条航线上,航空公司提供起飞时间不同的多个航班,这样的航班称为平行航班。本文以同一航线上的多个平行航班为研究对象,在考虑乘客的惰性深度和惰性广度的基础上,利用动态规划方法,研究了乘客的惰性行为对各航班最优价格的影响。数值实验表明:乘客的惰性对各航班的最优价格起负面影响,即各航班的最优价格随乘客惰性深度的增加而减小,随乘客惰性广度的增加而减小。

关键词: 乘客惰性, 平行航班, 动态定价, 收益管理

Abstract: On the same line, airline provides different flights with different departure time, which are named as parallel flights. Starting with the multiple parallel flights on the same line, based on the passenger inertia depth and breadth, dynamic programming method is used to study the impact of the passenger inertia behavior on the optimal price. The numerical experiment shows that the passenger inertia behavior affects the optimal price negatively. In other words, the optimal price of every flight is decreasing in the passenger inertia depth and the passenger inertia breadth.

Key words: passenger inertia, parallel flights, dynamic pricing, revenue management

中图分类号:

F272.3

胡玉生, 李金林, 冉伦, 陈亚红. 基于乘客惰性行为的平行航班动态定价[J]. 运筹与管理, 2018, 27(4): 112-117.

HU Yu-sheng, LI Jin-lin, RAN Lun, CHEN Ya-hong. Dynamic Pricing of Parallel Flights Basedon Passenger Inertia Behavior[J]. Operations Research and Management Science, 2018, 27(4): 112-117.

参考文献

[1]van Hooft E A J, Born M P, Taris T W, et al. Bridging the gap between intentions and behavior: implementation intentions, action control, and procrastination[J]. Journal of Vocational Behavior, 2005, 66(2): 238-256.
[2]Wertenbroch K. Self-rationing: self-control in consumer choice[R]. Working paper, INSEAD, 2001.
[3]Shen Z J, Su X. Customer behavior modeling in revenue management and auctions: a review and new research opportunities[J]. Production and Operations Management, 2007, 16(6): 713-728.
[4]Dana J D. New directions in revenue management research[J]. Production and Operations Management, 2008, 17(4): 399-401.
[5]Zhang D, Cooper W L. Pricing substitutable flight in airline revenue management[J]. European Journal of Operational Research, 2009, 197(3): 848-861.
[6]Akcay Y, Natarajan H P, Xu S H. Joint dynamic pricing of multiple perishable products under consumer choice[J]. Management Science, 2010, 56(8): 1345-1361.
[7]Lin K Y, Sibdari S Y. Dynamic pricing competition with discrete customer choice[J]. European Journal of Operational Research, 2009, 197(3): 969-980.
[8]Suh M, Aydin G. Dynamic pricing of substitutable products with limited inventories under logit demand[J]. IIE Transactions, 2011, 43: 323-331.
[9]Aviv Ym Pazgal A. Optimal pricing of seasonal products in the presence of forward-looking consumers[J]. Manufacturing and Service Operations Management, 2008, 10(3): 339-359.
[10]Levin Y, McGill J, Nediak M. Dynamic pricing in the presence of strategic consumers and oligopolistic competition[J]. Management Science, 2009, 55(1): 32-46.
[11]Levin Y, McGill J, Nediak M. Optimal dynamic pricing of perishable items by a monopolist facing strategic consumers[J]. Production and Operations Management, 2010, 19(1): 40-60.
[12]Levina T, Levin Y, McGill J, et al. Dynamic pricing with online learning and strategic consumers: an application of the aggregating algorithm[J]. Operations Research, 2009, 57(2); 327-341.
[13]Rabin M. Psychology and economics[J]. Journal of Economics Literature, 1998, 50(5): 11-46.
[14]Ho T H, Lim N, Camerer C F. Modeling the psychology of consumer and firm behavior with behavioral economics[J]. Journal of Market Research, 2006, 43(8): 307-331.
[15]Su X. A model of consumer inertia with applications to dynamic pricing[J]. Production and Operations Management, 2009, 18(4): 365-380.
[16]Kahneman D, Tversky A. Prospect theory: an analysis of decision under risk[J]. Econometrica, 1979, 47(2): 263-291.
[17]Frederick S, Loewenstein G. Time discounting and time preferences: a critical review[J]. Journal of Economics Literature, 2002, 40(2): 351-401.
[18]姜宏,齐二石,霍艳芳,等.基于顾客惰性行为的无理由退货策略研究[J].管理学报,2012,9(10):1591-1535.
[19]Zhao L, Tian P, Li X. Dynamic pricing in the presence of consumer inertia[J]. Omega, 2012, 40(2): 137-148.

基于乘客惰性行为的平行航班动态定价

Dynamic Pricing of Parallel Flights Basedon Passenger Inertia Behavior

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	王道平, 宋雨情. 考虑消费者行为转化的零售商两阶段动态定价研究[J]. 运筹与管理, 2021, 30(9): 152-157.
[2]	牛文举, 夏晶. 面向战略型消费者的产品创新与定价策略[J]. 运筹与管理, 2021, 30(5): 154-160.
[3]	侯福均, 翟玉冰, 胡玉生. 竞争环境下考虑顾客惰性行为的易逝品动态定价[J]. 运筹与管理, 2020, 29(9): 179-185.
[4]	梁峰, 王玉聪, 杨力萌, 陈伟涛. 基于收益管理理论的门诊预约存量控制研究[J]. 运筹与管理, 2020, 29(3): 142-148.
[5]	段永瑞,徐超,霍佳震. 服务水平约束下动态定价与库存管理[J]. 运筹与管理, 2019, 28(5): 1-7.
[6]	李豪, 彭庆, 谭美容. 乘客策略行为下考虑需求学习的航空客运动态定价策略研究[J]. 运筹与管理, 2018, 27(4): 118-125.
[7]	汪挺松, 李曼. 时间敏感型货物两阶段集装箱舱位分配问题研究[J]. 运筹与管理, 2018, 27(10): 1-10.
[8]	颜锦江, 郭春香, 龚浩. 面向网络外部性特征产品的供应链动态竞争策略研究[J]. 运筹与管理, 2018, 27(10): 76-82.
[9]	李刚, 马卫民, 杨瑞臣. 需求可延期满足的报童模型研究[J]. 运筹与管理, 2017, 26(8): 19-26.
[10]	蒋紫艳, 田澎. 考虑盗版容忍度的软件产品动态定价模型[J]. 运筹与管理, 2017, 26(12): 149-156.
[11]	胡玉生, 李金林, 冉伦, 赵天. 竞争环境下风险规避的航班动态定价[J]. 运筹与管理, 2017, 26(12): 157-164.
[12]	张大斌,杨斯琪,夏有新,李延晖. 一种电子商务环境下耐用品的动态定价模型与策略[J]. 运筹与管理, 2016, 25(2): 190-196.
[13]	黄松, 杨超. 基于战略顾客行为的最优定价与容量选择模型[J]. 运筹与管理, 2014, 23(3): 16-24.
[14]	高阳, 周向红, 李辉. 基于动态定价的再制造商主导的多周期多目标产品回收网络设计[J]. 运筹与管理, 2014, 23(3): 64-70.
[15]	陈晓红, 陈莎. 考虑消费者从众特性的动态定价研究[J]. 运筹与管理, 2013, 22(4): 212-219.