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Managing Capacity and Flow at Theme Parks

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  • Reza H. Ahmadi

    (University of California at Los Angeles, Los Angeles, California)

Abstract

The growth of service industries and their impact on the U.S. economy have attracted considerable attention in recent years. While some service sectors, most notably airline and telecommunication industries, have been in the forefront of model development, the industry is rather fragmented, and similar rigor is lacking in most other sectors.This paper describes an application of a model-based approach to some of the short-term ride capacity and visitor flow issues faced by the Six Flags Magic Mountain (SFMM), a major national theme park. Specifically, we consider daily operations at the theme park and focus on the generation and evaluation of alternative strategies for managing ride capacities and visitor flow. Management of demand involves two aspects: (a) understanding customer preferences as revealed by routing behavior, and (b) using the model to evaluate the implications of changes in transition-behavior.A crucial component of the study relates to the empirical data collected. Besides verifying the validity of the models, these data provide several insights for developing schemes to manage the day-to-day operations of the park. The SFMM management was actively involved in various phases of this study and as a result has been introducing the proposed models in a phased manner.

Suggested Citation

  • Reza H. Ahmadi, 1997. "Managing Capacity and Flow at Theme Parks," Operations Research, INFORMS, vol. 45(1), pages 1-13, February.
  • Handle: RePEc:inm:oropre:v:45:y:1997:i:1:p:1-13
    DOI: 10.1287/opre.45.1.1
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    Citations

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    Cited by:

    1. Vasiliki Kostami & Amy R. Ward, 2009. "Managing Service Systems with an Offline Waiting Option and Customer Abandonment," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 644-656, November.
    2. Zhang, Yingsha & Li, Xiang (Robert) & Su, Qin & Hu, Xingbao, 2017. "Exploring a theme park's tourism carrying capacity: A demand-side analysis," Tourism Management, Elsevier, vol. 59(C), pages 564-578.
    3. Rutger D. van Oest & Harald J. van Heerde & Marnik G. Dekimpe, 2010. "Return on Roller Coasters: A Model to Guide Investments in Theme Park Attractions," Marketing Science, INFORMS, vol. 29(4), pages 721-737, 07-08.
    4. Alexander, Matthew & MacLaren, Andrew & O’Gorman, Kevin & White, Christopher, 2012. "Priority queues: Where social justice and equity collide," Tourism Management, Elsevier, vol. 33(4), pages 875-884.
    5. Ryan, Gerard & Hernández-Maskivker, Gilda-María & Valverde, Mireia & Pàmies-Pallisé, Maria-del-Mar, 2018. "Challenging conventional wisdom: Positive waiting," Tourism Management, Elsevier, vol. 64(C), pages 64-72.
    6. Refael Hassin & Yair Y. Shaki & Uri Yovel, 2015. "Optimal service‐capacity allocation in a loss system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(2), pages 81-97, March.
    7. Zhang, Yingsha & Li, Xiang (Robert) & Su, Qin, 2017. "Does spatial layout matter to theme park tourism carrying capacity?," Tourism Management, Elsevier, vol. 61(C), pages 82-95.

    More about this item

    Keywords

    service; design; capacity;
    All these keywords.

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