报告题目 (Title)：Two Sides of “Hidden City Ticketing”: Analysis of aChoice-Based Network Revenue Management Model
中文标题：“隐城票务”的两面性：基于选择的网络收益管理模型分析
报告人 (Speaker)：江波 教授 上海财经大学
报告时间 (Time) ：2025年6月4日(周三) 16:30
报告地点 (Place)：校本部F309
邀请人(Inviter)：余长君
主办部门：上海大学理学院数学系、上海大学运筹与优化开放实验室、上海市运筹学会
报告摘要：“Hidden City Ticketing” (HCT) is a strategy where customers book flights with layovers at their intendeddestinations and skip the final leg of the journey. Empirical studies on airfare data have shown that HCTchances are very prevalent (about 15%–25%) in airline pricing. In this paper, we investigate the impactof HCT on airline revenue and discuss if the airline should eliminate all HCT chances from its price toachieve higher profit. We use a choice-based network revenue management model to characterize the airline’sdynamic pricing problem. As airlines may penalize customers who purchase HCT by canceling frequent flyermiles and banning future travel with the airline, we capture customers’ concerns about the risks of HCTthrough a choice model. Our analysis shows that adjusting prices to completely eliminate HCT chances mayoverly constrain the pricing strategy, and it harms the airline revenue more than customers’ HCT purchasebehavior. Furthermore, the impact of HCT is two-sided: While HCT can erode the airline’s revenue, it canalso boost revenue in some cases. In the worst case, if customers purchase HCT, the airline’s revenue can behalf of what it would be if customers don’t purchase HCT. In the best case, the airline’s revenue in the casecustomers purchase HCT can be twice that of the case where customers do not purchase HCT. Furthermore,the worst-case and best-case revenue bounds are both tight.