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Integrating Operational and Organizational Aspects in Interdependent Infrastructure Network Recovery

机译：在相互依赖的基础架构网络恢复中整合运营和组织方面

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摘要

Managing risk in infrastructure systems implies dealing with interdependent physical networks and their relationships with the natural and societal contexts. Computational tools are often used to support operational decisions aimed at improving resilience, whereas economics-related tools tend to be used to address broader societal and policy issues in infrastructure management. We propose an optimization-based framework for infrastructure resilience analysis that incorporates organizational and socioeconomic aspects into operational problems, allowing to understand relationships between decisions at the policy level (e.g., regulation) and the technical level (e.g., optimal infrastructure restoration). We focus on three issues that arise when integrating such levels. First, optimal restoration strategies driven by financial and operational factors evolve differently compared to those driven by socioeconomic and humanitarian factors. Second, regulatory aspects have a significant impact on recovery dynamics (e.g., effective recovery is most challenging in societies with weak institutions and regulation, where individual interests may compromise societal well-being). And third, the decision space (i.e., available actions) in postdisaster phases is strongly determined by predisaster decisions (e.g., resource allocation). The proposed optimization framework addresses these issues by using: (1) parametric analyses to test the influence of operational and socioeconomic factors on optimization outcomes, (2) regulatory constraints to model and assess the cost and benefit (for a variety of actors) of enforcing specific policy-related conditions for the recovery process, and (3) sensitivity analyses to capture the effect of predisaster decisions on recovery. We illustrate our methodology with an example regarding the recovery of interdependent water, power, and gas networks in Shelby County, TN (USA), with exposure to natural hazards.
机译：管理基础架构系统中的风险意味着要处理相互依赖的物理网络及其与自然和社会环境的关系。计算工具通常用于支持旨在提高弹性的运营决策，而与经济相关的工具则往往用于解决基础架构管理中的更广泛的社会和政策问题。我们为基础架构弹性分析提出了一个基于优化的框架，该框架将组织和社会经济方面纳入了运营问题，从而可以了解政策层面（例如法规）和技术层面（例如最佳基础设施恢复）的决策之间的关系。我们关注于集成这些级别时出现的三个问题。首先，与社会经济和人道主义因素驱动的最佳恢复策略相​​比，由财政和运营因素驱动的最佳恢复策略的发展方式有所不同。第二，监管方面对复苏动态具有重大影响（例如，在制度和监管薄弱的社会中，有效的复苏最具挑战性，在这些社会中个人利益可能会损害社会福祉）。第三，灾后阶段的决策空间（即可用动作）强烈地由灾前决策（例如资源分配）决定。拟议的优化框架通过使用以下内容解决了这些问题：（1）参数分析，以测试运营和社会经济因素对优化结果的影响；（2）监管约束，以建模和评估（对于各种参与者而言）执行的成本和收益与恢复过程相关的特定政策条件，以及（3）敏感性分析，以捕获灾难前决策对恢复的影响。我们以一个有关自然灾害暴露于田纳西州谢尔比县的相互依赖的水，电和煤气网络的恢复为例，说明了我们的方法。

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