Hazard-induced service interruption of interdependent infrastructure systems (IISs) (e.g., electricity, water, gas, etc.) can lead to significant disruptions of social and economic functions of a modern society. An effective post-event restoration of the IISs is therefore of paramount importance to the overall recovery of a hazard-stricken community as a whole. As opposed to approaches with pure engineering perspectives, this study proposes an IISs restoration planning methodology aimed at balancing tradeoffs between the loss of social services (e.g., health care, food supply, etc.) and that of economic productions (e.g., construction, manufacturing, trade, etc.) throughout the IISs restoration process. The methodology is distinguished from previous researches with the following contributions: i) quantitatively relates the losses of various social services and economic productions to the service disruptions of IISs through the functionality loss of buildings; ii) the IISs disruption-induced overall losses of social services and economic productions accumulated throughout the whole recovery process is set as the bi-objective in formulating IISs restoration plans, and the Pareto optimal solutions are given to satisfy different decision preferences; iii) physics-based models capturing operational mechanisms of the IISs are embedded to provide realistic estimations of commodity supplies at each time step of the restoration optimization. The optimization is coupled with Monte Carlo simulation to uncover the impact of decision preference on community recovery from a statistical point of view. Testbed illustration shows that the decision preference makes significant impact on the recovery of the community as a whole and of different areas in the community with different socioeconomic characteristics.

危险引起的相互依赖的基础设施系统（IIS）（例如电力、水、天然气等）的服务中断可能会导致现代社会的社会和经济功能的严重破坏。因此，对 IIS 进行有效的事后恢复对于整个受灾社区的整体恢复至关重要。与纯粹工程视角的方法相反，本研究提出了一种 IIS 恢复规划方法，旨在平衡社会服务损失（例如医疗保健、食品供应等）与经济生产损失（例如建筑、制造业）之间的权衡。 、贸易等）贯穿整个 IIS 恢复过程。该方法与以前的研究不同，具有以下贡献：i）定量地将各种社会服务和经济生产的损失与建筑物功能损失导致的 IIS 服务中断联系起来；ii) 以整个恢复过程中积累的IIS中断导致的社会服务和经济生产总体损失作为制定IIS恢复计划的双目标，并给出Pareto最优解以满足不同的决策偏好；iii) 嵌入捕获 IIS 运行机制的基于物理的模型，以在恢复优化的每个时间步骤提供商品供应的实际估计。该优化与蒙特卡罗模拟相结合，从统计角度揭示决策偏好对社区恢复的影响。试验台图表明，决策偏好对社区整体以及具有不同社会经济特征的社区不同区域的恢复具有显着影响。