一个增强的基于网络的动态框架,用于量化和增强灾难应对网络的弹性,以在暴雨淹水的旧社区下降雨
Tiantian Gu1, Yongchao Wang1, Lingzhi Li2
1School of Mechanics and Civil Engineering, China University of Mining and Technology, No.1, University Road, Tongshan District, Xuzhou, Jiangsu, 221000, PR China.
Journal of environmental management
|November 17, 2024
概括
这项研究增强了面临水淹没的老社区的灾害响应网络 (DRN). 它引入了一个动态网络分析 (DNA) 框架,通过更好的利益相关者协调和资源管理来提高弹性.
科学领域:
- 城市规划和灾害管理
- 网络分析和弹性工程
- 环境科学和土木工程环境科学和土木工程
背景情况:
- 有效的灾害响应网络 (DRN) 对于减轻暴雨淹水影响在老龄化社区至关重要.
- 现有的框架往往缺乏响应元素之间的动态和全面的相互作用分析.
- 提高DRN的弹性对于可持续的城市发展至关重要.
研究的目的:
- 开发基于增强动态网络分析 (DNA) 的框架,以提高灾难应对网络的弹性.
- 将社区灾难响应概念化为一个"代理人-信息-资源-任务" (A-I-R-T) 动态网络.
- 提供可实施的战略,以提高城市环境中的DRN弹性.
主要方法:
- 利用动态网络分析 (DNA) 以三阶段的A-I-R-T网络为灾难响应模型.
- 开发了一种混合评估模型,将CRITIC和VIKOR方法结合起来,以量化网络弹性.
- 为了验证,在中国徐州市Y社区进行了一项案例研究.
主要成果:
- A-I-R-T动态网络框架促进了对利益相关者,信息,资源和任务相互作用的全面理解.
- 在CRITIC-VIKOR模型有效量化了DRN弹性通过评估偏离理想情景的偏差.
- 复原性在功能恢复阶段达到顶峰 (0.292),突出了沟通有效性的差异.
结论:
- 增强的DNA框架为了解和量化灾难响应网络弹性提供了一种新的方法.
- 确定了增强DRN弹性可行的策略,有助于更强大的城市灾害管理.
- 该研究推进了灾害管理理论,并为创造有弹性的城市环境提供了实际见解.
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