Due to the increasing occurrence of disruptions across our global society, it has become critically important to understand the resilience of different socio-economic systems, i.e., to what extent those systems exhibit the ability both to resist a disruption and to recover from one once it occurs. In order to characterize this ability, however, one must be able to quantitatively measure the relative level of resilience that a given system displays in response to a disruptive event. Such a measurement should be easily understandable and straightforward to implement, but it should also utilize a consistent frame of reference so that one can properly compare the relative performance of different systems and assess the relative effectiveness of different resilience investments. With this in mind, this paper presents an improved approach for measuring system resilience that supports better decision making by providing both consistency and flexibility across different contexts. The theoretical basis for the approach is developed first, and then its advantages and limitations are illustrated in the context of several different practical examples.

由于我们全球社会中越来越多的破坏事件发生，因此了解不同的社会经济系统的弹性已变得至关重要，例如，这些系统在多大程度上显示出抵御破坏力并一旦恢复的能力发生。然而，为了表征这种能力，必须能够定量地测量给定系统响应于破坏性事件而显示的相对弹性水平。这种度量应该容易理解并且易于实现，但是它也应该利用一致的参考框架，以便人们可以正确地比较不同系统的相对性能并评估不同弹性投资的相对有效性。考虑到这一点，本文提出了一种用于测量系统弹性的改进方法，该方法通过在不同情况下提供一致性和灵活性来支持更好的决策。首先开发该方法的理论基础，然后在几个不同的实际示例中说明其优点和局限性。