Resilience curves are used to communicate quantitative and qualitative aspects of system behavior and resilience to stakeholders of critical infrastructure. Generally, these curves illustrate the evolution of system performance before, during, and after a disruption. As simple as these curves may appear, the literature contains underexplored nuance when defining "performance" and comparing curves with summary metrics. Through a critical review of 273 publications, this manuscript aims to define a common vocabulary for practitioners and researchers that will improve the use of resilience curves as a tool for assessing and designing resilient infrastructure. This vocabulary includes a taxonomy of resilience curve performance measures as well as a taxonomy of summary metrics. In addition, this review synthesizes a framework for examining assumptions of resilience analysis that are often implicit or unexamined in the practice and literature. From this vocabulary and framework comes recommendations including broader adoption of productivity measures; additional research on endogenous performance targets and thresholds; deliberate consideration of curve milestones when defining summary metrics; and cautionary fundamental flaws that may arise when condensing an ensemble of resilience curves into an "expected" trajectory.
翻译:一般来说,这些曲线说明了系统运行在中断之前、期间和中断之后的演变情况。这些曲线可能显得简单。文献在界定“绩效”和将曲线与简要指标进行比较时,含有探索不足的细微差别。通过对273份出版物进行严格审查,该手稿旨在为从业人员和研究人员界定一个共同词汇,用以改进将弹性曲线用作评估和设计具有复原力的基础设施的工具。这些词汇包括复原力曲线性能衡量尺度的分类以及简要指标的分类。此外,本审查综合了一个框架,用于审查在实践和文献中往往隐含或未加以审查的复原力分析假设。从这一词汇和框架产生的建议包括更广泛地采用生产力措施;对内生性业绩指标和阈值的额外研究;在界定概要指标时,考虑曲线里程碑;在将各种复原力曲线汇合成“预期”轨迹时可能出现的谨慎的基本缺陷。