[2M1-CC] Special Session on Computational Awareness / General Session - A

[2M1-CC-04] Agent-Based Simulation for Avoiding the Congestions of Tourists

Tadahiko Murata¹, Kohei Totsuka¹ (1. Kansai University)

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 “overtorism” 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 view 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 main attractions in a sightseeing area.