Dynamic Discrete Choice Model for Railway Ticket Cancellation and Exchange Behavior
| 项目名称： | Dynamic Discrete Choice Model for Railway Ticket Cancellation and Exchange Behavior |
| 摘要： | Ticket cancellation and exchange behavior is considered to be a crucial decision in revenue management problems. Good predictions in terms of cancellation and exchange rates enable carriers to manage efficiently overbooking and reduce the expected number of empty seats when there is demand for those seats. Behavior of ticket cancellation and exchange is clearly influenced by demand uncertainty over time. Existing literatures related to choice modeling in revenue management (RM) are mostly based on static models and ignore the effect of dynamics in consumer behavior. This project considers a railway revenue management problem in which the project explicitly model a passenger trip adjustment choice using a dynamic discrete choice framework, which specifies the probability of exchanging tickets as a function of a set of available alternatives. Based on concepts derived from dynamic programming, the project specifies a choice model that includes ticket cancellation and exchange settings. The project expects to be able to estimate a wide range of variable categories that identify passenger rescheduling behavior including cost, departure time, group size, refund policy, destination characteristics. Static and dynamic models' performances will also be evaluated on the basis of their ability to reproduce individual choices over time. |
| 状态： | Active |
| 资金： | 63822.00 |
| 资助组织： | Mid-Atlantic Universities Transportation Center |
| 执行机构： | University of Maryland, College Park |
| 开始时间： | 20120611 |
| 实际结束时间： | 20130531 |
| 主题领域： | Finance；Passenger Transportation；Railroads |
相关文献
- Revenue Management and Operations Optimization for High Speed Rail
- Development of a New Combined Modal Split and Traffic Assignment Model for Evaluating Transit Oriented Development Strategies
- Discrete Element Modeling of Railway Ballast Toward Improved Tamping Practices
- Flexible Transit Operations for Dynamic Mobility
- Role of Vehicle Technology on Use-Joint Analysis of the Choice of Plug-in Electric Vehicle Ownership and Miles Traveled
- The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models
检索历史
应用推荐
