[2M4-OS-37a] OS-37

[2M4-OS-37a-03] Tourist Decentralization Using Digital Illustrated Maps

〇Toru Takahashi^1,3,4, Hiroshi Ueda¹, Momoka Ueno², Masachika Hashimoto², Momoko Aoki¹, Keisuke Kubo¹, Kaoru Iketani¹, Rei Aiba¹ (1. Stroly Inc., 2. EthosAI, 3. Keio Research Institute at SFC, 4. NPO Linked Open Data Initiative )

Keywords:Human Mobility Data Analysis, Behavior Analysis Using Generative AI, Tourist Decentralization, Behavior Change, Digital Illustrated Maps

Overtourism is a growing concern in popular destinations, requiring data-driven strategies for managing visitor flows. This study analyzes the impact of the information delivery methods and UX/UI design of a digital illustrated map, designed to promote visitor dispersion, on tourist movement in the Saga-Arashiyama area of Kyoto. Specifically, user log data, including movement trajectories and digital stamp rally participation, were collected and analyzed to assess their effects. Additionally, behavioral pattern classification using generative AI was conducted. The results confirmed the effectiveness of the digital illustrated map in guiding visitors and quantitatively evaluated the impact of the stamp rally, while also suggesting the existence of a tourist segment that exhibits dispersion effects even without a stamp rally. These findings indicate that digital illustrated maps can serve as an effective tool for data-driven tourism policy planning and improvement, offering a practical approach to mitigating overtourism.