当前位置: X-MOL 学术Nat. Hazards › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks
Natural Hazards ( IF 3.7 ) Pub Date : 2020-07-26 , DOI: 10.1007/s11069-020-04192-5
Milad Zamanifar , Timo Hartmann

The purpose of this study is to analyze optimization-based decision-making models for the problem of Disaster Recovery Planning of Transportation Networks (DRPTN). In the past three decades, seminal optimization problems have been structured and solved for the critical and sensitive problem of DRPTN. The extent of our knowledge on the practicality of the methods and performance of results is however limited. To evaluate the applicability of those context-sensitive models in real-world situations, there is a need to examine the conceptual and technical structure behind the existing body of work. To this end, this paper performs a systematic search targeting DRPTN publications. Thereafter, we review the identified literature based on the four phases of the optimization-based decision-making modeling process as problem definition, problem formulation, problem-solving, and model validation. Then, through content analysis and descriptive statistics, we investigate the methodology of studies within each of these phases. Eventually, we detect and discuss four research improvement areas as [1] developing conceptual or systematic decision support in the selection of decision attributes and problem structuring, [2] integrating recovery problems with traffic management models, [3] avoiding uncertainty due to the type of solving algorithms, and [4] reducing subjectivity in the validation process of disaster recovery models. Finally, we provide suggestions as well as possible directions for future research.



中文翻译:

基于优化的交通网络灾后恢复与重建规划决策模型

这项研究的目的是分析基于优化的运输网络灾难恢复规划(DRPTN)问题的决策模型。在过去的三十年中,已经针对DRPTN的关键和敏感问题构造并解决了最优化问题。但是,我们对方法的实用性和结果的了解程度有限。为了评估这些上下文相关模型在现实世界中的适用性,需要检查现有工作主体背后的概念和技术结构。为此,本文针对DRPTN出版物进行了系统的搜索。此后,我们将根据基于优化的决策建模过程的四个阶段(如问题定义,问题表述,解决问题和模型验证。然后,通过内容分析和描述性统计,我们研究了每个阶段的研究方法。最终,我们检测并讨论了四个研究改进领域,[1]在选择决策属性和问题结构时开发概念或系统决策支持,[2]将恢复问题与交通管理模型集成,[3]避免由于类型而造成的不确定性解决算法,[4]减少灾难恢复模型的验证过程中的主观性。最后,我们提供建议以及未来研究的可能方向。我们检测并讨论了四个研究改进领域,[1]在选择决策属性和问题结构时开发概念或系统决策支持,[2]将恢复问题与交通管理模型集成,[3]避免由于求解类型而导致的不确定性算法和[4]减少灾难恢复模型验证过程中的主观性。最后,我们提供建议以及未来研究的可能方向。我们检测并讨论了四个研究改进领域,[1]在选择决策属性和问题结构时开发概念或系统决策支持,[2]将恢复问题与交通管理模型集成,[3]避免由于求解类型而导致的不确定性算法和[4]减少灾难恢复模型验证过程中的主观性。最后,我们提供建议以及未来研究的可能方向。

更新日期:2020-07-26
down
wechat
bug