[P2] Poster Session 2

12:30 PM - 2:00 PM JST(3:30 AM - 5:00 AM UTC)

[P2-57] 計画粒度に応じたLLMによる都市開発シナリオ生成と擬似人流シミュレーション―名古屋駅周辺におけるケーススタディ―

*Yuki Watanabe¹, Yoshihide Sekimoto², Mayumi Mizobuchi², Takehiro Kashiyama³ (1. The University of Tokyo, 2. Center for Spatial Information Science, The University of Tokyo, 3. Kyoto University)

Keywords:

都市開発,大規模言語モデル（LLM）,シナリオ生成,擬似人流,人流シミュレーション

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