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How to Mitigate Theme Park Crowding? A Prospective Coordination Approach

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  • Yuguo Yuan
  • Weimin Zheng

Abstract

Crowding is a key factor in tourists’ experience in theme parks, and mitigating crowding makes parks more competitive. This study examines how to effectively mitigate crowding in theme parks. First, a Markov-based method is developed to predict the spatial-temporal distribution of tourists in the park. Then, a prospective coordination approach based on the tourist distribution prediction is proposed. To evaluate the performance of this approach, an experiment is constructed using an agent-based simulation platform. The results indicate that the proposed method significantly outperforms existing methods. Furthermore, we conduct two experiments and, based on the results, offer several recommendations for crowd management.

Suggested Citation

  • Yuguo Yuan & Weimin Zheng, 2018. "How to Mitigate Theme Park Crowding? A Prospective Coordination Approach," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-11, April.
    • Handle: RePEc:hin:jnlmpe:3138696
    DOI: 10.1155/2018/3138696
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    Cited by:

    1. Yumei Luo & Yuwei Li & Guiping Wang & Qiongwei Ye, 2021. "Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China," Sustainability, MDPI, vol. 13(21), pages 1-24, October.

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