Conference Proceeding Article
In this paper, we illustrate how massive agent-based simulation can be used to investigate an exciting new application domain of experience management in theme parks, which covers topics like congestion control, incentive design, and revenue management. Since all visitors are heterogeneous and self-interested, we argue that a high-quality agent-based simulation is necessary for studying various problems related to experience management. As in most agent-base simulations, a sound understanding of micro-level behaviors is essential to construct high-quality models. To achieve this, we designed and conducted a first-of-its-kind real-world experiment that helps us understand how typical visitors behave in a theme-park environment. From the data collected, visitor behaviors are quantified, modeled, and eventually incorporated into a massive agent-based simulation where up to 15,000 visitor agents are modeled. Finally, we demonstrate how our agent-based simulator can be used to understand the crowd build-up and the impacts of various control policies on visitor experience.
Consumer behaviour, Digital simulation, Multi-agent systems, Travel industry
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
WSC '13: Proceedings of the 2013 Winter Simulation Conference: December 8-11, 2013, Washington DC
City or Country
CHENG, Shih-Fen; LIN, Larry Junjie; DU, Jiali; LAU, Hoong Chuin; and VARAKANTHAM, Pradeep Reddy.
An Agent-based Simulation Approach to Experience Management in Theme Parks. (2013). WSC '13: Proceedings of the 2013 Winter Simulation Conference: December 8-11, 2013, Washington DC. 1527-1538. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1828
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