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Development of Flood Resilience Framework for Housing Infrastructure System: Integration of Best-Worst Method with Evidence Theory
Journal of Cleaner Production ( IF 9.7 ) Pub Date : 2020-11-23 , DOI: 10.1016/j.jclepro.2020.125197
Mrinal Kanti Sen , Subhrajit Dutta , Golam Kabir

Housing infrastructure is the basic need of living, and due to disaster, many houses got damaged. Therefore, assessing resilience for housing infrastructure against a flood hazard is an important task for any community as it gives the real scenario of the capability to resist and recover from the disaster after the occurrence of the hazard. The process of resilience quantification requires a different type of information from different sources, and due to which uncertainty and incomplete data may get involved. There is significantly limited literature available focusing on housing infrastructure resilience; however, the available literature has not incorporated such uncertainty and incomplete information. Therefore, in this work, a resilience assessment framework for housing infrastructure is proposed using a combination approach of Best Worst Method and a Hierarchical Evidential Reasoning based on the Dempster-Shafer theory against flood hazard. The proposed framework is then implemented in Barak valley North-East India to quantify that valley's resilience and evaluate the model. Initially, different resilience attributes are selected, and based on experts' opinion, the Best Worst Method rates the criteria to find the weightage. After finding the weightage, flood resilience is evaluated by using the Dempster-Shafer rule of combination. Lastly, sensitivity analysis is also performed to investigate the sensitivity of all the attributes of the proposed hierarchical housing infrastructure resilience model. The proposed flood resilience assessment model generates satisfactory results which indicate the condition state of resilience along with the unassigned degree of belief or uncertainty.



中文翻译:

住房基础设施系统的抗洪能力框架的开发:最佳方法与证据理论的集成

住房基础设施是生活的基本需求,由于灾难,许多房屋遭到破坏。因此,评估房屋基础设施的抗洪灾能力对任何社区来说都是一项重要任务,因为它提供了灾害发生后抵抗和从灾难中恢复的真实能力。弹性量化过程需要来自不同来源的不同类型的信息,并且由于这些信息,可能会涉及不确定性和不完整的数据。现有的关于住房基础设施弹性的文献非常有限。但是,现有文献并未纳入这种不确定性和不完整的信息。因此,在这项工作中 结合Best Worst方法和基于证据证据理论的层次证据推理方法,提出了住房基础设施抗灾力评估框架。然后,在印度东北部的Barak谷地实施所提议的框架,以量化该谷的弹性并评估该模型。最初,选择了不同的弹性属性,并根据专家的意见,最佳最差方法对评估权重的标准进行了评估。找到权重后,使用组合的Dempster-Shafer规则评估抗洪能力。最后,还进行了敏感性分析,以研究所提议的分层住房基础设施弹性模型的所有属性的敏感性。

更新日期:2020-11-23
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