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考虑预订取消率的酒店退订政策选择演化博弈研究
引用本文:卢新元,樊雅睿,秦泽家,方文琪.考虑预订取消率的酒店退订政策选择演化博弈研究[J].运筹与管理,2022,31(5):37-42.
作者姓名:卢新元  樊雅睿  秦泽家  方文琪
作者单位:1.华中师范大学 信息管理学院,湖北 武汉 430079;2.华中师范大学 湖北省电子商务研究中心,湖北 武汉 430079
基金项目:国家社会科学基金一般项目(19BGL267)
摘    要:基于顾客的取消预订行为,在Hotelling模型框架下构建了酒店的博弈模型,分析了两竞争性酒店退订政策选择的问题。研究表明,当顾客对酒店之间水平差异的敏感程度较高时,若两酒店的预订取消率差异较小,则两酒店都将选择宽松的退订政策;若取消率差异较大,则取消率较高的酒店将选择严格的退订政策,而取消率较低的酒店将选择宽松的退订政策。当顾客对酒店之间水平差异的敏感程度较低且两酒店的预订取消率差异较小时,系统存在两个演化稳定策略,酒店只有选择与竞争对手相反的策略才能获得最大收益。本研究能够为酒店的决策制定和收益管理提供一定的支持。

关 键 词:取消预订行为  退订政策  Hotelling模型  演化博弈  
收稿时间:2019-12-16

Evolutionary Game Study of Choice of Hotel Cancellation Policies Based on Cancellation Rate
LU Xin-yuan,FAN Ya-rui,QIN Ze-jia,FANG Wen-qi.Evolutionary Game Study of Choice of Hotel Cancellation Policies Based on Cancellation Rate[J].Operations Research and Management Science,2022,31(5):37-42.
Authors:LU Xin-yuan  FAN Ya-rui  QIN Ze-jia  FANG Wen-qi
Institution:1. School of Information Management, Central China Normal University, Wuhan 430079, China;2. E-Commerce Research Center of Hubei Province, Central China Normal University, Wuhan 430079, China
Abstract:Based on the customer's cancellation behavior, this paper constructs a game model of hotels under the framework of Hotelling model and analyzes the choice of cancellation policies between two competitive hotels. The results show that, when the sensitivity of customers to the horizontal differentiation between two hotels is high, if the cancellation rate differentiation between the two hotels is small, the two hotels will choose loose cancellation policy, and if the cancellation rate differentiation is large, the hotel with high cancellation rate will choose the strict cancellation policy, and the hotel with low cancellation rate will choose the loose cancellation policy. When the sensitivity of customers to the horizontal differentiation between the hotels is low and the cancellation rate differentiation between the two hotels is small, there are two evolutionarily stable strategies, and the hotel only chooses the opposite strategy to the competitor to get the maximum profit. Our study provides theoretical support for hotels in cancellation policy decision and revenue management.
Keywords:cancellation behavior  cancelation policies  hotelling model  evolutionary game  
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