Urban landscape patterns and residents’ perceptions of safety under extreme city flood disasters

作者：Wei Ma, Yingjie Du, Yuxiao Wang, Quanxiu Chen, Huaxiong Jiang, Runting Cai, Tianshun Gu, Wenxin Zhang · 发表于：Ecological Indicators · 年份：2024 · DOI：10.1016/j.ecolind.2024.113003 · 被引用次数：10 · 研究领域：Flood Risk Assessment and Management、Disaster Management and Resilience、Evacuation and Crowd Dynamics

• Urban landscape pattern (ULP) holds a substantial sway over residents’ perceptions of safety (RPS) during floods, with a notable importance of 44.8%. • The relationship between ULP indices and RPS is intricate, showcasing varied nonlinear patterns like “S-shaped,” “inverted U-shaped,” and “inverted V-shaped,” with distinct threshold effects. • The interaction effect reveals that the interplay of ULP indicators and their interactions with flood-relevant contextual variables significantly enhances RPS. • Emphasized the necessity for flood response strategies tailored to ULP variations, enhancing safety perceptions and community resilience in flood-prone regions. Urban areas are increasingly susceptible to extreme flooding events, posing significant challenges to residents’ safety and well-being. In this context, understanding the relationship between urban landscape patterns (ULP) and residents’ perceptions of safety (RPS) is crucial for effective flood disaster management. This study explores the relationship between ULP and RPS during extreme flooding events, using Zhengzhou city as a case study. The goal is to offer strategic insights for managing extreme flood disasters. Surveying 1329 residents impacted by urban flooding in Zhengzhou, this study employed the Gradient Boosting Decision Tree (GBDT) model to examine the nonlinear relationship between ULP and RPS amidst extreme flood disasters. Results indicate: (1) ULP significantly impacts RPS, with a relative importance o...