风险供应:基础设施系统弹性度量:评估和比较城市地区基础设施系统弹性的框架

Mateusz Iwo Dubaniowski, H. Heinimann
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引用次数: 3

摘要

由家庭、企业和基础设施组成的城市系统不断发展和扩大。这有几个含义,因为中断的影响,以及系统的复杂性和相互依赖性正在迅速增加。因此,我们面临着如何评估这些城市地区基础设施系统弹性的挑战。这个问题对基础设施系统的设计和开发具有重要的影响。本研究的目的是:(1)将基础设施系统、企业和家庭之间相互依赖关系的建模框架应用于特定城市地区;(2)为模型开发一套中断情景;(3)根据模拟模型设计城市基础设施系统弹性指标。我们的研究结果是一个模拟城市地区基础设施系统、企业和家庭的模型的应用。随后,提出并应用了基础设施系统弹性度量。在比较开发与基础设施系统的弹性方面,风险供应这一指标被证明是有用的。我们的模拟实验表明,在对系统进行有益的改变后,风险供给曲线向下移动。我们的结论是,风险供应是一个有用的弹性评估指标,可以比较各种基础设施的发展。我们还确定了未来研究的思路,重点是在更大范围的基础设施系统中断和修改下评估指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supply-at-Risk: Resilience Metric for Infrastructure Systems: Framework for assessing and comparing resilience of infrastructure systems in urban areas
Urban systems, composed of households, businesses, and infrastructures, are continuously evolving and expanding. This has several implications because the impacts of disruptions, and the complexity and interdependence of systems, are rapidly increasing. Hence, we face a challenge in how to assess resilience of infrastructure systems in these urban areas. This issue has significant impact on infrastructure systems design and development. The aims of this study were to: (1) apply a framework for modeling interdependencies between infrastructure systems, businesses and households to a certain urban area; (2) develop a suite of disruption scenarios for the model; and (3) to devise a metric for resilience of infrastructure systems in an urban area that could be derived from the simulation model. Our study resulted in an application of a model that mimics infrastructure systems, businesses, and households in an urban area. Subsequently, a metric for resilience of infrastructure systems was proposed and applied. The metric - supply-at-risk - was shown to be useful in comparing developments to infrastructure systems in terms of resilience. Our simulation experiment has shown that the supply-at-risk curve moves down after beneficial change is made to the system. We concluded that the supply-at-risk is a useful metric for resilience assessment allowing comparison of various infrastructure developments. Ideas for future research were also identified centered around assessing the metric under a wider range of disruptions and modifications to infrastructure systems.
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