制定斯里兰卡城市关键基础设施韧性指数

IF 0.9 Q4 ENVIRONMENTAL STUDIES
U. Perera, C. Siriwardana, Ishani Shehara Pitigala Liyana Arachchi
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引用次数: 1

摘要

随着灾害引发的新威胁的出现,基础设施变得至关重要。斯里兰卡是一个受灾害影响风险较高的国家,在减轻对关键基础设施的损害方面,人们的眼界已经扩大。基于此,本文的目的是开发一个指标来识别关键基础设施弹性的重要性。设计/方法/方法从最初的文献调查中,灾害恢复能力被定义为三个阶段的能力,吸收、适应和恢复,以及十个衡量能力的指标。然后根据7位专家的意见检查选定的指标是否适合研究范围。随后,引入了关键基础设施弹性指数(CIRI),以便使用Z得分方法汇总每个指标的数值。将斯里兰卡行政区域的实际灾害影响与CIRI之间的统计关系作为验证开发指数的最后一步。研究结果:本文提出了弹性指数开发的综合开发和验证方法。此外,案例研究结果暗示了每种弹性能力的优缺点,这对决策很重要。研究局限性/启示灾害影响数据的不可用性和集中的数据存储库是本研究验证过程中的主要制约因素。因此,本研究采用代理数据对弹性指标进行验证。独创性/价值本研究确定并验证了一种用于区域决策的定义灾害恢复指数的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of critical infrastructure resilience index for cities in Sri Lanka
Purpose Infrastructures become critical with the emerging threats triggering through disasters. Sri Lanka is a country with a higher risk of disaster impacts, in which the eye-opening has widened towards mitigating the damages towards critical infrastructures. Based on this, the purpose of this paper is to develop an index that identifies the significance of critical infrastructure resilience. Design/methodology/approach From the initial literature survey, disaster resilience is defined as capacity of three stages, absorptive, adaptive and restorative along with ten indicators to measure capacities. Selected indicators were then checked for suitability for scope of the research based on opinions of seven experts. Subsequently, the critical infrastructure resilience index (CIRI) was introduced such that the numerical values for each indicator are aggregated using the Z score method. Statistical relations between the actual impact against disasters and CIRI calculated for administrative regions in Sri Lanka were used as the final step to validate the developed index. Findings Resilience index development is presented in this paper with a comprehensive methodology of developing and validation. Further, the case study results imply the weakness and strengths in each resilience capacities, which are important in decision-making. Research limitations/implications Unavailability of disaster impact data and centralized data repository were main constrains in the validation process of this research. Hence proxy data was used to validate resilience index in this research. Originality/value This research identified and validated a novel approach of defining disaster resilience index for regional decision-making.
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来源期刊
CiteScore
3.40
自引率
6.20%
发文量
49
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