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Dynamic discrete choice model for railway ticket cancellation and exchange decisions

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  • Cirillo, Cinzia
  • Bastin, Fabian
  • Hetrakul, Pratt

Abstract

The increasing use of internet as a major ticket distribution channel has resulted in passengers becoming more strategic to fare policy. This potentially induces passengers to book the ticket well in advance in order to obtain a lower fare ticket, and later adjust their ticket when they are sure about trip scheduling. This is especially true in flexible refund markets where ticket cancellation and exchange behavior has been recognized as having major impacts on revenues. In this paper, we propose an inter-temporal choice model of ticket cancellation and exchange for railway passengers where customers are assumed to be forward looking agents. A dynamic discrete choice model (DDCM) is applied to predict the timing in which ticket exchange or cancellation occurs in response to fare and trip schedule uncertainty. The problem is formulated as an optimal stopping problem, and a two steps look-ahead policy is adopted to approximate the dynamic programming problem. The approach is applied to real ticket reservation data for intercity railway trips. Estimations results indicate that the DDCM provides more intuitive results when compared to multinomial logit (MNL) models. In addition, validation results show that DDCM has better prediction capability than MNL. The approach developed here in the context of exchange and refund policies for railway revenue management can be extended and applied to other industries that operate under flexible refund policies.

Suggested Citation

  • Cirillo, Cinzia & Bastin, Fabian & Hetrakul, Pratt, 2018. "Dynamic discrete choice model for railway ticket cancellation and exchange decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 137-146.
    • Handle: RePEc:eee:transe:v:110:y:2018:i:c:p:137-146
    DOI: 10.1016/j.tre.2017.12.004
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    as
    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Guillermo Gallego & Özge Şahin, 2010. "Revenue Management with Partially Refundable Fares," Operations Research, INFORMS, vol. 58(4-part-1), pages 817-833, August.
    3. Oded Koenigsberg & Eitan Muller & Naufel Vilcassim, 2008. "easyJet® pricing strategy: Should low-fare airlines offer last-minute deals?," Quantitative Marketing and Economics (QME), Springer, vol. 6(3), pages 279-297, September.
    4. Qian Liu & Garrett J. van Ryzin, 2008. "Strategic Capacity Rationing to Induce Early Purchases," Management Science, INFORMS, vol. 54(6), pages 1115-1131, June.
    5. Xuanming Su, 2007. "Intertemporal Pricing with Strategic Customer Behavior," Management Science, INFORMS, vol. 53(5), pages 726-741, May.
    6. Miller, Robert A, 1984. "Job Matching and Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 92(6), pages 1086-1120, December.
    7. Guillermo Gallego & Robert Phillips, 2004. "Revenue Management of Flexible Products," Manufacturing & Service Operations Management, INFORMS, vol. 6(4), pages 321-337, January.
    8. Pakes, Ariel S, 1986. "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks," Econometrica, Econometric Society, vol. 54(4), pages 755-784, July.
    9. James D. Dana Jr., 1998. "Advance-Purchase Discounts and Price Discrimination in Competitive Markets," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 395-422, April.
    10. Michael Landsberger & Isaac Meilijson, 1985. "Intertemporal Price Discrimination and Sales Strategy under Incomplete Information," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 424-430, Autumn.
    11. David Besanko & Wayne L. Winston, 1990. "Optimal Price Skimming by a Monopolist Facing Rational Consumers," Management Science, INFORMS, vol. 36(5), pages 555-567, May.
    12. Yossi Aviv & Amit Pazgal, 2008. "Optimal Pricing of Seasonal Products in the Presence of Forward-Looking Consumers," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 339-359, December.
    13. Man Yu & Hyun-Soo Ahn & Roman Kapuscinski, 2015. "Rationing Capacity in Advance Selling to Signal Quality," Management Science, INFORMS, vol. 61(3), pages 560-577, March.
    14. Wolpin, Kenneth I, 1984. "An Estimable Dynamic Stochastic Model of Fertility and Child Mortality," Journal of Political Economy, University of Chicago Press, vol. 92(5), pages 852-874, October.
    15. Cinzia Cirillo & Renting Xu & Fabian Bastin, 2016. "A Dynamic Formulation for Car Ownership Modeling," Transportation Science, INFORMS, vol. 50(1), pages 322-335, February.
    16. I. P. L. Png, 1989. "Reservations: Customer Insurance in the Marketing of Capacity," Marketing Science, INFORMS, vol. 8(3), pages 248-264.
    17. Gale, Ian L. & Holmes, Thomas J., 1992. "The efficiency of advance-purchase discounts in the presence of aggregate demand uncertainty," International Journal of Industrial Organization, Elsevier, vol. 10(3), pages 413-437, September.
    18. Jay Graham, R. & Garrow, Laurie A. & Leonard, John D., 2010. "Business travelers’ ticketing, refund, and exchange behavior," Journal of Air Transport Management, Elsevier, vol. 16(4), pages 196-201.
    19. Jinhong Xie & Steven M. Shugan, 2001. "Electronic Tickets, Smart Cards, and Online Prepayments: When and How to Advance Sell," Marketing Science, INFORMS, vol. 20(3), pages 219-243, June.
    20. Staffan Ringbom & Oz Shy, 2004. "Advance booking, cancellations, and partial refunds," Economics Bulletin, AccessEcon, vol. 13(1), pages 1-7.
    21. Nancy L. Stokey, 1979. "Intertemporal Price Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(3), pages 355-371.
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