Agent-Based Simulation for Avoiding the Congestions of Tourists

In this paper, we develop an agent-based simulation model to avoid tourist concentration in a sightseeing area. Among main tourist destinations, the tourist concentration called "overtourism" becomes an issue for both of tourists and residents in the destinations. While spreading COVID-19 among sightseeing areas, tourist concentration should be avoided from the standpoint of the public health. We develop an agent-based simulation model to estimate the effectiveness of "congestion information at the destination" among tourists. The simulation results show that the congestion information is effective when only 30% of tourists follow the information to avoid the concentration in the major attractions in a sightseeing area.