An Agent-Based Simulation Model of Visitor Behaviours for China Tourism Attractions

نویسندگان

  • Nao Li
  • Dimitrios Buhalis
  • Xiangjie Qiao
  • Wei Zhu
  • Lingyun Zhang
چکیده

In order to manage visitors in tourism attractions in a predicted rather than a reactive way, this paper proposed an agent-based simulation model for visitor management of China tourism attractions. The model integrated Repast Simphony (Repast S) modelling framework with geography information system ArcGIS’s Shape data model and runs on Repast S running platform. Visitors were modelled as artificial Agents having their own decision making capabilities. Visitor data observed and tracked at “May 1” holidays of two years from the Summer Palace Beijing were used to do the verification and validation. Simulation results demonstration the model’s ability to capture visitors’ temporal and spatial distribution and provide decision making support for visitor management in tourism attractions.

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تاریخ انتشار 2014