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案例—数据集成驱动的CI抗灾能力评估指标选择
引用本文:张浩,李向阳,刘昭阁.案例—数据集成驱动的CI抗灾能力评估指标选择[J].中国安全生产科学技术,2018,14(4):13-19.
作者姓名:张浩  李向阳  刘昭阁
作者单位:(哈尔滨工业大学 管理学院, 黑龙江 哈尔滨 150001)
摘    要:关键基础设施(CI)是维持社会大系统正常运行的重要组成部分,是复杂的网络巨系统,而CI抗灾能力评估指标需具有系统性、客观性和一致性。案例驱动与数据驱动在能力评估指标选择中各有优势,亦相互支持。依靠案例驱动,可以把握历史经验,引导CI抗灾能力评估的情景设计及全局指标选择改进;借助数据驱动,可以发现潜在的微观指标,通过数据分析引导抗灾能力评估微观指标体系改进与完善。集成这2种评估驱动方法,提出CI抗灾能力评估指标选择的案例-数据集成驱动框架,并结合用例验证评估方法的有效性。

关 键 词:关键基础设施  抗灾能力  案例-数据集成驱动  评估指标选择

Selection of assessment indexes for CI anti-disaster capacity based on case-data integrated driven
ZHANG Hao,LI Xiangyang,LIU Zhaoge.Selection of assessment indexes for CI anti-disaster capacity based on case-data integrated driven[J].Journal of Safety Science and Technology,2018,14(4):13-19.
Authors:ZHANG Hao  LI Xiangyang  LIU Zhaoge
Institution:(School of Management, Harbin Institute of Technology, Harbin Heilongjiang 150001, China)
Abstract:The critical infrastructure (CI) is the key component supporting the normal running of social system, and it is a complex and huge network system. It is necessary to guarantee the systematicness, objectivity and consistency of the assessment indexes for the CI anti-disaster capacity. The case-driven and data-driven methods have their own advantages and support each other in the selection of capacity assessment indexes. Relying on the case-driven method can master the historical experience and guide the scenario design and the selection and improvement of global indexes for the CI anti-disaster capacity assessment. With the help of data-driven method can identify the potential micro indexes and guide the improvement and perfection of micro index system for the anti-disaster capacity assessment through the data analysis. Integrating these two assessment driven methods, a case-data integrated driven framework about the selection of assessment indexes for the CI anti-disaster capacity was put forward, and the effectiveness of the assessment method was verified by the case.
Keywords:critical infrastructure (CI)  anti-disaster capacity  case-data integrated driven  selection of assessment indexes
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