College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China.
School of Public Administration, China University of Geosciences, Wuhan 430074, China.
Int J Environ Res Public Health. 2022 Sep 4;19(17):11071. doi: 10.3390/ijerph191711071.
The complexity and uncertainty of compound disasters highlight the significance of local emergency resilience. This paper puts forward a framework, including the Projection Pursuit Model based on Real-coded Accelerating Genetic Algorithm and the Moran's Index (Moran's I), to measure the local emergency resilience and analyze its spatial distribution. An empirical test is conducted with the case of Hubei Province, China. The results show that: (1) the measurement indices related to infrastructure, material reserves, and resource allocation have a larger weight, while those related to personnel and their practice have a smaller weight. (2) The measurement value of local emergency resilience of sub-provincial regions in Hubei Province is vital in the eastern and weak in the western, and there are apparent east-west segmentation and north-south aggregation characteristics. (3) Although the sub-provincial regions do not show significant spatial correlation, the eastern regions centered on Wuhan are negatively correlated, and the western regions are positively correlated. Furthermore, this study provides theories and methods for local emergency resilience evaluation and spatial correlation exploration, and it has specific guidance recommendations for optimizing local emergency management resource allocation and improving local emergency resilience.
复合灾害的复杂性和不确定性凸显了地方应急韧性的重要性。本文提出了一个包括基于实数加速遗传算法的投影寻踪模型和 Moran 指数（Moran's I）的框架，用于测量地方应急韧性并分析其空间分布。以中国湖北省为例进行了实证检验。结果表明：（1）基础设施、物资储备和资源配置相关的测量指标权重较大，而人员及其实践相关的测量指标权重较小。（2）湖北省分省地区的地方应急韧性测量值在东部重要，在西部较弱，存在明显的东西分割和南北集聚特征。（3）分省地区虽然没有表现出显著的空间相关性，但以武汉为中心的东部地区呈负相关，西部地区呈正相关。此外，本研究为地方应急韧性评估和空间相关性探索提供了理论和方法，为优化地方应急管理资源配置和提高地方应急韧性提供了具体的指导建议。
