This paper presents a method that allows urban planners and municipal engineers to identify critical components of interdependent infrastructure systems. The intent of the method is to provide a means of modeling the impact of capacity-related changes (e.g., population growth, component degradation) on a city’s ability to deliver resources to critical locations. Infrastructure systems are modeled as flow networks in which capacities, demands, and supply constraints vary over time; demand nodes also have criticality ratings that allow a user to model levels of importance. Interconnections between infrastructure systems are represented by physical and geospatial dependencies at a component level. A flow-based centrality measure is used to rank components according to their role in the delivery of resources to critical locations. A simple instantiation of the method is presented and evaluated on a district-scale model of a city that contains interconnected water and electricity networks. Finally, two forms of reliability analysis are demonstrated: a composite measure incorporating edge reliability, and a variation on standard component failure/degradation analysis.

本文提出了一种方法，使城市规划者和市政工程师能够识别相互依赖的基础设施系统的关键组件。该方法的目的是提供一种模拟能力相关变化（例如，人口增长、组件退化）对城市向关键地点提供资源的能力的影响的方法。基础设施系统被建模为流量网络，其中容量、需求和供应限制随时间变化；需求节点还具有关键性评级，允许用户对重要性级别进行建模。基础设施系统之间的互连由组件级别的物理和地理空间依赖性表示。基于流的中心性度量用于根据组件在向关键位置提供资源中的作用对组件进行排名。该方法的一个简单实例在包含互连水电网络的城市的区域尺度模型上呈现和评估。最后，展示了两种形式的可靠性分析：包含边缘可靠性的复合测量，以及标准组件故障/退化分析的变体。