Extreme rainfall events, intensified by climate change, have increasingly aggravated urban flooding. However, existing flood response frameworks focus mainly on physical infrastructure, overlooking behavior factors like knowledge of shelter location a...
Extreme rainfall events, intensified by climate change, have increasingly aggravated urban flooding. However, existing flood response frameworks focus mainly on physical infrastructure, overlooking behavior factors like knowledge of shelter location and shelter information dissemination. This study aims to analyze how the level of knowledge of shelter locations and the probability of information dissemination affect evacuation time and success rate during urban flooding. An agent-based simulation was conducted for Daerim 2-dong in Yeongdeungpo-gu, Seoul, a flood-prone area with frequent inundation and dense low-rise housing. The results show that higher shelter information knowledge led to shorter evacuation times and improved evacuation success rates, while information dissemination showed diminishing returns beyond a certain threshold. Particularly after 70%, vulnerable groups experienced steep increases in delay, and limited information flow intensified disparities. These findings highlight the importance of incorporating information dynamics and agent-specific characteristics into evacuation planning to enhance practical effectiveness.