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Decision attributes for disaster recovery planning of transportation networks; A case study

机译：交通网络灾难恢复规划的决策属性; 案例研究

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This paper implements a structured framework to suggest decision attributes of transportation network disaster recovery planning. For this purpose, we collected 57 decision attributes from the relevant literature and experts? opinions. Following a framework with three sequential evaluation stages, decision-makers systematically assessed the attributes based on each evaluation stage?s specific criteria. Thereafter, we aggregated the decision-makers? input values using a combination of compensatory and non-compensatory Multi-Attribute Decision-Making techniques. Results offer a ranked list of attributes and a recommended set of attributes for Tehran?s road network as our case study. The findings suggest six attributes to be included in road network disaster recovery planning as 1) access level to service-providing nodes, 2) integration of link travel delay and traffic flow, 3) travel time improvement per recovery duration, 4) travel time improvement per resources, 5) centrality measures, and 6) link capacity. However, the recommended attributes are valid only when they remain as a set. Results contribute to the existing knowledge about concerns and values in the reconstruction and recovery of transportation networks after disasters. Transportation network planners and disaster managers can use the recommended attributes as key factors for post-disaster decision support systems or for evaluating available disaster resiliency plans. Additionally, future research can adopt this research outcome as an input for the problem-structuring phase of disaster recovery models.
机译：本文实现了结构化框架，以建议运输网络灾难恢复规划的决策属性。为此，我们从相关文献和专家收集了57个决定属性？意见。在具有三个连续评估阶段的框架之后，决策者系统地基于每个评估阶段的特定标准评估属性。此后，我们汇总了决策者？使用补偿和非补偿多属性决策技术的组合输入值。结果提供了一系列的属性列表，以及德黑兰路网络的推荐属性作为我们的案例研究。该研究结果表明，在道路网络灾难恢复规划中包含六个属性为1）访问级别到服务提供节点，2）集成链路旅行延迟和流量流量，3）每次恢复持续时间的行程时间改进，4）行程时间改进每个资源，5）集中度量，6）链接能力。但是，推荐的属性才有效，只有当它们保留为集时才有效。结果有助于在灾害后重建和运输网络重建和恢复的关注和价值观。运输网络规划者和灾难管理人员可以将推荐的属性作为灾后决策支持系统的关键因素或评估可用的灾难弹性计划。此外，未来的研究可以通过该研究结果作为灾难恢复模型的问题结构阶段的输入。

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