弹性(材料科学)
自然灾害
城市化
危害
计算机科学
概率逻辑
城市规划
风险分析(工程)
城市复原力
环境资源管理
环境规划
环境科学
工程类
土木工程
地理
业务
人工智能
经济
物理
气象学
有机化学
化学
热力学
经济增长
作者
Maksims Feofilovs,Francesco Romagnoli
标识
DOI:10.1016/j.ijdrr.2021.102328
摘要
The current urbanization and increase of intensity and likelihood of natural hazard events underline that particular attention must be addressed to strengthening urban resilience to natural hazards. Indicator-based urban resilience assessment tools approach have certain disadvantages, which do not allow considering systemic interaction in terms of feedbacks effects among the urban system components selected for urban resilience assessment. This peculiarity can be provided by system dynamics modelling. This study aims to introduce a dynamic urban resilience to natural hazards assessment tool able to compare different urban resilience scenarios, considering the multi-dimensionality of urban systems and short and long term time reference. As a result of this study, the paper presents the structure of a novel tool and comparison of urban resilience scenarios performed for a local case study with the given tool. Specifically, the implementation of probabilistic simulation in system dynamics model with output in form of index score allows comparison of urban resilience scenarios. The results of model validation and simulation show that the tool is suitable for different urban resilience scenario evaluation, thus is suitable for the development of urban resilience strategies within urban policy planning.
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