跳到主要內容

臺灣博碩士論文加值系統

(18.204.48.64) 您好!臺灣時間:2021/08/01 09:56
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:黃曼晴
研究生(外文):Man-ChingHuang
論文名稱:探討具異質性高鐵旅客之超額訂位策略
論文名稱(外文):Exploring overbooking treatment strategies for heterogeneous passengers in High Speed Rail
指導教授:鄭永祥鄭永祥引用關係
指導教授(外文):Yung-Hsiang Cheng
學位類別:碩士
校院名稱:國立成功大學
系所名稱:交通管理學系碩博士班
學門:運輸服務學門
學類:運輸管理學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:63
中文關鍵詞:收益管裡鐵路營運超額訂位座位衝突賠償策略
外文關鍵詞:Yield managementrailway operationoverbookingseat conflictcompensation strategy
相關次數:
  • 被引用被引用:6
  • 點閱點閱:281
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
超額訂位目前已廣泛應用在許多領域中並為營運者帶來許多收益,特別是運輸產業。但超額訂位的實施會有座位衝突產生的風險,這不僅會降低乘客的滿意度,長期而言更會降低乘客對公司的忠誠度。再者,乘客的負面感受會隨著乘客的等級不同而有所不同,過去收益管理研究較少針對此部分進行探討。因此本研究旨在建構一考慮乘客異質性之鐵路超額訂位策略模式,並以台灣高鐵為研究對象,探討不同策略下最適開放訂位數及對營收的影響。研究結果顯示,此模式在不同的賠償策略下皆可以降低乘客的負面感受,總結而言,本研究結果可以幫助服務提供者預估最適開放訂位數,以及針對不同的座位衝突旅客給予相應的賠償措施。
Overbooking has brought large benefit to various fields for long time, especially on transportation industry. The practice of overbooking implies that sometimes the company is unable to meet all customers demand, and it will run the risk of customer conflict and negative effect on customer satisfaction and loyalty. In addition, the negative perception depends on passenger’s different status. However, little academic literature has been done on related issues. Therefore, the aim of this study is to develop a railway overbooking strategic model which considers passengers heterogeneity. The study adopts Taiwan High Speed Rail (THSR) as a case study to examine the influence of several overbooking compensation strategies on optimal booking limit and revenue by using mathematical programming. The analytical result demonstrates this model can actually decrease negative perception of passengers. Moreover, the result of this study can be useful for service provider to estimate booking level and allocate the appropriate compensation treatments.
1. Introduction..........................................1
1.1 Research Background and Motivation...................1
1.2 Research Objectives..................................3
1.3 Research Scope and Subjects..........................4
1.4 Research Framework...................................4
2. Literature Review.....................................7
2.1 Railway seat allocation..............................7
2.2 Overbooking review...................................8
2.2.1 Overbooking strategy..............................10
2.2.2 Compensation policy...............................11
2.3 Passenger heterogeneity.............................13
2.3.1 Passenger perception of overbooking...............16
2.4 Summary.............................................18
3. Mathematics Formulation..............................20
3.1 Problem definition..................................20
3.2 Model assumption....................................21
3.3 Booking procedure...................................22
3.4 Mathematical formulation............................25
3.4.1 Seat allocation model (non-overbooking)...........26
3.4.2 Seat allocation model (overbooking)...............29
3.4.3 Seat allocation model (overbooking considering passenger heterogeneity)...............................34
4. Empirical result.....................................38
4.1 Data collection.....................................38
4.2 Analytic steps......................................40
4.3 Optimal overbooking limit...........................40
4.4 Influenceof overbooking strategy on revenues........44
4.4.1 Express train.....................................44
4.4.2 Single train which stops at all stations..........45
4.5 Influence of passengers proportion on revenues......46
4.6 Strategic scenarios.................................50
5. Conclusion and Discussion............................55
5.1 Findings............................................55
5.2 Academic contribution...............................56
5.3 Management implication..............................57
5.4 Limitation and future research......................59
Reference...............................................60

1.Abe, I. (2007). Revenue management in the railway industry in Japan and Portugal: A stakeholder approach. (Master’s thesis, Massachusetts Institute of Technology). Retrieved from http://mit.dspace.org/handle/1721.1/40382
2.Alstrup, J., Boas, S., Madsen, O.B.G., Vidal, R.V.V. (1986). Booking policy for flights with two types European Journal of Operational Research,esearch, search, 27(3), 274-288.
3.Arthur, D., Malone, S.M., Nir, O. (2002). Optimal overbooking. UMAP Journal, 23(3), 283-300.
4.Ayvaz, N., Huh, W.T. (2010). Allocation of hospital capacity to multiple types of patients. Journal of Revenue and Pricing Management, 9(5), 386-398.
5.Belobaba, P.P. (1987). Airline yield management an overview of seat inventory control. Transportation Science, 21(2), 63-73.
6.Ciancimino, A., Inzerillo, G., Lucidi, S., Palagi, L. (1999). A mathematical programming approach for the solution of the railway yield management problem. Transportation Science, 33(2), 168-181.
7.Chen, S., Gallego, G., Li, M.Z.F., Lin, B. (2010). Optimal seat allocation for two-flight problems with a flexible demand segment. European Journal of Operational Research, 201(3), 897-908.
8.Curry, B.E., (1990). Optimal airline seat allocation with fare classes nested by origins and destinations. Transportation Science, 24(3), 193-204.
9.Harti-Bouri, M., Soulier, A. (1999). Le centre opérations TGV. Revenue générale des chemins de fer, 10, 5-8.
10.Homans, G.C. (1961). Social behavior: Its elementary forms. New York: Harcourt, Brace & World.
11.Hwang, J., Wen, L. (2009). The effect of perceived fairness toward hotel overbooking and compensation practices on customer loyalty. International Journal of Contemporary Hospitality Management, 21(6), 659-675
12.Kahneman, D., Knetsch, J.L., Thaler, R.H. (1986). Fairness and the assumptions of economics. The Journal of business, 59(4), 285-300.
13.Karaesmen, I., Van Ryzin, G. (2004). Overbooking with substitutable inventory classes. Operations Research, 52(1), 83-104.
14.Kimes, S.E. (1989). Yield management: A tool for capacity-constrained service firms. Journal of Operations Management, 8(4), 348-363.
15.Kimes, S.E. (1994). Perceived fairness of yield management. The Cornell Hotel and Restaurant Administration Quarterly, 35(1), 22-29.
16.Kraft, E.R., Srikar, B.N., Phillips, R.L. (2000). Revenue management in railroad applications. Transportation Quarterly, 54(1), 157-176.
17.Leder, K.Z., Spagnolie, S.E., Wild, S.M. (2002). Probabilistically optimized airline overbooking strategies or “Anyone willing to take a later flight?! The UMAP journal, 23(3), 317-338.
18.Lindenmeier, J., Tscheulin, D.K. (2008). The effects of inventory control and denied boarding on customer satisfaction: The case of capacity-based airline revenue management. Tourism Management, 29(1), 32-43.
19.Lin, C.H. (2004). The study of the patterns of booking curves of TRA (Master’s thesis, National Cheng Kung University). Retrieved from http://ir.lib.ncku.edu.tw/handle/987654321/30611
20.Littlewood, K. (1972). Forecasting and control of passenger bookings. AGIFORS Symposium Proceedings, 12, 95-117.
21.McGill, J., Van Ryzin, G. (1999). Revenue management: Research overview and prospects. Transportation Science, 33(2), 233-256.
22.Ongprasert, S. (2006). Passenger behavior on revenue management systems of inter-city transportation. (Doctoral dissertation, Engineering Kochi University of Technology, Japan). Retrieved from http://kutarr.lib.kochi-tech.ac.jp /dspace/ handle/10173/184
23.Ratliff, R.M. (1998). Ideas on overbooking. Paper Presentation at AGIFORS Reservation and Yield Management Study Group Meeting, Melbourne, Australia.
24.Ringbom S., Shy O. (2001). The adjustable-curtain strategy: Overbooking of multiclass service. Journal of Economics, 77(1), 73-90.
25.Shoemaker, S. Lewis, R.C. (1999). Customer loyalty: The future of hospitality marketing. International Journal of Hospitality Management, 18(4), 345-370.
26.Smith, C., Leimkuhler, J.F., Darrow, R.M. (1992). Yield management at American Airlines. Interfaces, 22, 8-31.
27.Sulistio, A., Kim, K.H., Buyya, R. (2008). Managing cancellations and no-shows of reservations with overbooking to increase resource revenue. Proceedings of the Eighth IEEE International Symposium on Cluster Computing and the Grid, 267-276.
28.Suzuki, Y. (2002). An empirical analysis of the optimal overbooking policies for US major airlines. Transportation Research Part E, 38(2), 135-149.
29.Suzuki, Y. (2006). The net benefit of airline overbooking. Transportation Research Part E, 42(1), 1-19.
30.United States Department of transportation. http://www.dot.gov, visited in October, 2011.
31.Wangenheim, F.V., and Bayón, T. (2007). Behavioral consequences of overbooking service capacity. Journal of Marketing, 71(4), 36-47.
32.Weatherford, L.R., Bodily, S.E. (1992). A taxonomy and research overview of perishable-asset revenue management: Yield management, overbooking, and pricing. Operations Research, 40(5), 831-844.
33.Witz, J., Kimes, S.E., Theng, J.H.P. (2003). Revenue management: Resolving potential customer conflicts. Journal of Revenue and Pricing Management, 2(3), 216-226.
34.Xiao, Y.B., Chen, J., Liu, X.L. (2008). Joint dynamic pricing for two parallel flights based on passenger choice behavior. Systems Engineering - Theory & Practice, 28(1), 46-55.
35.You, P.S. (2008). An efficient computational approach for railway booking problems. European Journal of Operational Research, 185(2), 811-824.

連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top