Measuring Resilience to Sea-Level Rise for Critical Infrastructure Systems: Leveraging Leading Indicators
Measuring Resilience to Sea-Level Rise for Critical Infrastructure Systems: Leveraging Leading Indicators
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DOI：
10.3390/jmse11071421
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发表时间：
2023-07
影响因子：
2.9
通讯作者：
Lamis Amer;M. Erkoc;R. Feagin;S. Kameshwar;K. Mach;Diana Mitsova
中科院分区：
文献类型：
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作者：
Lamis Amer;M. Erkoc;R. Feagin;S. Kameshwar;K. Mach;Diana Mitsova
人们越来越有兴趣研究如何界定和建立应对海平面上升相关挑战的复原力指标。大多数建议的方法依赖于滞后指标构建的基础设施子系统的历史表现的基础上。这些指标传统上被用来建立曲线，描述过去的反应的子系统的压力，这些曲线被用来预测未来的弹性的子系统假设的事件。然而，现在越来越多的人担心，这种方法无法在多个子系统和利益攸关方的更广泛背景下为适应性决策提供最佳见解。作为一种替代办法，建立在体现系统复原力的结构特征基础上的领先指标越来越受欢迎。这种基于结构的方法可以揭示适应能力规划中的问题和差距，并阐明潜在适应活动的有效性。在这里，我们在海平面上升的背景下调查了这些领先指标的相关文献，然后将所获得的见解综合起来，对当前的研究挑战进行更广泛的研究。我们提出了利用领先指标作为有效工具，将弹性纳入基础设施系统适应性综合决策的研究方向。
There has been a growing interest in research on how to define and build indicators of resilience to address challenges associated with sea-level rise. Most of the proposed methods rely on lagging indicators constructed based on the historical performance of an infrastructure sub-system. These indicators are traditionally utilized to build curves that describe the past response of the sub-system to stressors; these curves are then used to predict the future resilience of the sub-system to hypothesized events. However, there is now a growing concern that this approach cannot provide the best insights for adaptive decision-making across the broader context of multiple sub-systems and stakeholders. As an alternative, leading indicators that are built on the structural characteristics that embody system resilience have been gaining in popularity. This structure-based approach can reveal problems and gaps in resilience planning and shed light on the effectiveness of potential adaptation activities. Here, we survey the relevant literature for these leading indicators within the context of sea-level rise and then synthesize the gained insights into a broader examination of the current research challenges. We propose research directions on leveraging leading indicators as effective instruments for incorporating resilience into integrated decision-making on the adaptation of infrastructure systems.