Wang Sicheng, Song Dinglin, Gao Mingming
College of Architecture and Urban Planning, Guizhou University, Guiyang, 550025, China.
College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Sci Rep. 2025 Jan 4;15(1):758. doi: 10.1038/s41598-025-85107-x.
Karst small towns globally face challenges due to limited disaster-resilient resources, making it difficult to handle increasingly severe disaster environments. Improving the efficiency of disaster-resilient resource utilization and maintaining a tight balance state of disaster-resilient resources (TBS) are crucial for enhancing disaster adaptability and resilience. This study used urban and disaster data from a representative karst region in China (2017-2021) to conduct a quantitative analysis of TBS in karst small towns, exploring the mechanisms and interactions within this state and identifying obstacle factors. Results show an average TBS of 0.355, indicating a low level with growing disparities among towns. The spatial pattern of TBS has shifted from "high in the south, low in the north" to a multi-center structure, with central towns exhibiting stronger resource siphoning compared to radiating and driving abilities. The Coupling Coordination Degree model shows high coupling but low coordination, with an average value of 0.56, suggesting moderate coordination. Enhancing subsystem coupling and coordination is essential for improving TBS and disaster adaptability. Obstacle factor diagnosis identifies Driving Forces as the main constraint, followed by Responses, States, Pressures, and Impact. Lack of disaster monitoring and early warning technologies increases socio-economic losses caused by disasters.
全球范围内的喀斯特地貌小城镇由于抗灾资源有限而面临挑战，难以应对日益严峻的灾害环境。提高抗灾资源利用效率并维持抗灾资源的紧平衡状态（TBS）对于增强灾害适应性和恢复力至关重要。本研究利用中国一个典型喀斯特地区（2017 - 2021年）的城市和灾害数据，对喀斯特地貌小城镇的TBS进行定量分析，探究该状态下的机制及相互作用，并识别障碍因素。结果显示，TBS平均为0.355，表明水平较低且城镇间差距不断扩大。TBS的空间格局已从“南高北低”转变为多中心结构，中心城镇的资源虹吸作用强于辐射带动能力。耦合协调度模型显示耦合度高但协调度低，平均值为0.56，表明协调程度中等。加强子系统耦合与协调对于提高TBS和灾害适应性至关重要。障碍因素诊断表明驱动力是主要制约因素，其次是响应、状态、压力和影响。缺乏灾害监测和预警技术增加了灾害造成的社会经济损失。
