Functional connectivity analysis for modeling flow in infrastructure
提出功能连接分析（FCA）方法，将流动特征融入拓扑连接指标，以较低计算成本实现与流动分析相当的基础设施功能评估，并用田纳西州饮用水网络案例验证。
• Infrastructure are represented using functionally weighted connectivity networks. • Functional weights are calculated using supply ratios for undamaged and damaged networks. • Functional Connectivity Analysis (FCA) enables using low temporal resolutions. • Lower temporal resolution and weighted connectivity analyses reduce computational costs. • Conceptual and computational cost comparison are made using benchmark examples. The performance loss of infrastructure caused by hazards can disrupt economic activities, obstruct emergency responses, and be detrimental to society's well-being and recovery. Network analysis methods, including topology-based and flow-based methods, are valuable tools for infrastructure functionality assessment. Topology-based methods capture connectivity patterns of network components with relatively low computational costs. However, topology-based methods do not model the flow of resources from source facilities to consumers. On the other hand, flow-based methods are computationally intensive but can provide information on the flow performance of infrastructure by modeling the operational dynamics. This paper introduces a novel hybrid approach, Functional Connectivity Analysis (FCA), to provide comparable functionality assessment to flow-based methods with computational efficiency similar to the connectivity analysis by introducing flow-related characteristics into topological connectivity metrics. This approach is illustrated with a realistic example modeling the functionality of potable water infrastructure in Shelby County, Tennessee. Comparing the results of connectivity analysis, flow analysis, and FCA shows that FCA can provide information on functionality comparable to flow analysis with high computational efficiency.