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Trans. Planning Journal
| Title | Rail Passenger Overbooking Modelling －Case Study of TAIWAN High Speed Railway System |
|---|---|
| Author | Yung-Hsian Cheng，Shin-Hsin Yang ，Zong-SyuanYu |
| Summary | The study aims to establish a railway over-booking yield management model. A binary function is utilized to formulate a high-speed railway formula consisting of benefit, compensation and discount cost. By focusing on the ran-dom distribution of high-speed railway passenger’s arrivals and absences, the Monte Carlo method is applied to compute random variables and calculate 1,000 random variations of the HSR over-booking model. Outcome of calcula-tions is normally distributed and the effects of over-booking on railways are analyzed. Sensitivity analysis on different models is conducted to identify the best overbooking strategy and optimal coach distribution of reserved seats and unreserved seats. Results assume a 10%-20% no-show rate while the most rea-sonable no-show rate is 5%, which closely represents that of the high-speed railway. The optimal coach distribution of reserved seats and unreserved seats is 8:3 when the no-show rate is less than 10%. When the no-show rate is be-tween 10%~20%, the best care distribution is 10:1. |
| Vol. | 37 |
| No. | 4 |
| Page | 431 |
| Year | 2008 |
| Month | 12 |
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