Research Center of Modern Service Science and Technology, Shanghai University of Finance and Economics, Shanghai, China.
Shanghai Key Laboratory of Financial Information Technology, Shanghai University of Finance and Economics, Shanghai, China.
PLoS One. 2018 Apr 12;13(4):e0195727. doi: 10.1371/journal.pone.0195727. eCollection 2018.
Life in the modern world depends on multiple critical services provided by infrastructure systems which are interdependent at multiple levels. To effectively respond to infrastructure failures, this paper proposes a model for developing optimal joint restoration strategy for interdependent infrastructure systems following a disruptive event. First, models for (i) describing structure of interdependent infrastructure system and (ii) their interaction process, are presented. Both models are considering the failure types, infrastructure operating rules and interdependencies among systems. Second, an optimization model for determining an optimal joint restoration strategy at infrastructure component level by minimizing the economic loss from the infrastructure failures, is proposed. The utility of the model is illustrated using a case study of electric-water systems. Results show that a small number of failed infrastructure components can trigger high level failures in interdependent systems; the optimal joint restoration strategy varies with failure occurrence time. The proposed models can help decision makers to understand the mechanisms of infrastructure interactions and search for optimal joint restoration strategy, which can significantly enhance safety of infrastructure systems.
现代生活依赖于基础设施系统提供的多种关键服务，这些服务在多个层面上相互依存。为了有效地应对基础设施故障，本文提出了一种在破坏性事件发生后为相互依存的基础设施系统制定最优联合恢复策略的模型。首先，提出了（i）描述相互依存的基础设施系统结构和（ii）它们的相互作用过程的模型。这两个模型都考虑了故障类型、基础设施运行规则和系统之间的相互依赖性。其次，提出了一个通过最小化基础设施故障造成的经济损失来确定基础设施组件级别最优联合恢复策略的优化模型。通过电水系统的案例研究说明了模型的实用性。结果表明，少量基础设施组件的故障会引发相互依存系统的高级别故障；最优联合恢复策略随故障发生时间而变化。所提出的模型可以帮助决策者了解基础设施交互的机制并寻找最优的联合恢复策略，这可以显著提高基础设施系统的安全性。
