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論文名稱(外文):Differential Pricing and Revenue Optimization for Low-Cost Airlines
指導教授(外文):WEN, CHIEH-HUA
外文關鍵詞:PricingDiscrete choice modelRevenue optimizationAirline
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The purpose of this study is to explore differential pricing and revenue optimization for low-cost airlines. This study observes and collects actual data on air fares and designs questionnaire surveys to understand air travelers’ preferences for differential and dynamic pricing. Discrete choice models in the form of multinomial logit are used to explain the travelers’ choice of daparture date and time. In addition, the multinomial logit model is used to examine air travelers’ booking date preferences. The revenue optimization models integrated with choice models are formulated to determine the optimal fares.
This study collecred the stated preference datafor the 2017 Dragon Boat Festival holiday. Totally 539 distributed questionnaires were collected from the Taiwanese air travelers who took the low cost carriers (Tigerair Taiwan) at the Taiwan Taoyuan International Airport. The model estimates show that the fare is an important factor affecting flight selection. Then the optimization fares are the same as the maximum of the limit. Divide from the number of days before the departure date (150/90/30 days), so that more realistic with realistic dynamic pricing. The empirical results provide important insights for setting airfares.

致謝 i
摘  要 ii
Abstract iii
Chapter 1 Introduction 1
1.1 Research Background and Motivation 1
1.2 Research Problem and Objectives 5
1.3 Research Methods 6
1.4 Flow Chart 7
Chapter 2 Literature Review 9
2.1 Dynamic Pricing 9
2.2 Revenue Management 11
2.3 The Purchase Behavior 13
2.4 Choice Models 15
2.5 Optimization Models 20
Chapter 3 Research Methods 22
3.1 Stated Preference Design 22
3.1.1 Flight Departure Choice Behavior 24
3.1.2 Purchase Behavior 29
3.1.3 Method of Investigation 33
3.2 Choice Modeling for Flight Choice 34
3.3 Choice Modeling for Booking Date 35
3.4 Revenue Optimization 36
3.4.1 The Objective Function 37
3.4.2 The Constraint Function 38
Chapter 4 Data 39
4.1 Survey and Sampling Design 39
4.2 Data Collection and Analysis 40
4.3 Crosstab Analysis 48
Chapter 5 Estimation Results 49
5.1 Model Estimation for Flight Departure Choice 49
5.2 Model Estimation for Booking Date Choice 54
5.3 Revenue Optimization 58
Chapter 6 Conclusion 66
6.1 Study Result 66
6.2 Contributions 68
6.3 Limitations and Directions for Future Studies 69
References 70
Appendix 78
Questionnaire 118

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