{"title":"Evaluation of safe-to-fail flood solution alternatives and integration of safe-to-fail concept in AEC education to develop resilient coastal cities","authors":"Rubaya Rahat, Piyush Pradhananga, Mohamed ElZomor","doi":"10.1108/ijdrbe-04-2022-0041","DOIUrl":null,"url":null,"abstract":"\nPurpose\nSafe-to-fail (SF) is an emerging resilient design approach that has the potential to minimize the severity of flood damages. The purpose of this study is to explore the SF design strategies to reduce flood disaster damages in US coastal cities. Therefore, this study addresses two research questions: identifying the most suitable SF criteria and flood solution alternatives for coastal cities from industry professionals’ perspective; and investigating the controlling factors that influence the AEC students’ interest to learn about SF concepts through the curricula.\n\n\nDesign/methodology/approach\nThis study used the analytical hierarchy process to evaluate the SF criteria and flood solutions where data were collected through surveying 29 Department of Transportation professionals from different states. In addition, the study adopted a quantitative methodology by surveying 55 versed participants who reside in a coastal area and have coastal flood experiences. The data analysis included ordinal probit regression and descriptive analysis.\n\n\nFindings\nThe results suggest that robustness is the highest weighted criterion for implementing SF design in coastal cities. The results demonstrated that ecosystem restoration is the highest-ranked SF flood solution followed by green infrastructure. Moreover, the results highlighted that age, duration spent in the program and prior knowledge of SF are significantly related to AEC students’ interest to learn this concept.\n\n\nOriginality/value\nSF design anticipates failures while designing infrastructures thus minimizing failure consequences due to flood disasters. The findings can facilitate the implementation of the SF design concept during the construction of new infrastructures in coastal cities as well as educate the future workforces to contribute to developing resilient built environments.\n","PeriodicalId":45983,"journal":{"name":"International Journal of Disaster Resilience in the Built Environment","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Disaster Resilience in the Built Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijdrbe-04-2022-0041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
Safe-to-fail (SF) is an emerging resilient design approach that has the potential to minimize the severity of flood damages. The purpose of this study is to explore the SF design strategies to reduce flood disaster damages in US coastal cities. Therefore, this study addresses two research questions: identifying the most suitable SF criteria and flood solution alternatives for coastal cities from industry professionals’ perspective; and investigating the controlling factors that influence the AEC students’ interest to learn about SF concepts through the curricula.
Design/methodology/approach
This study used the analytical hierarchy process to evaluate the SF criteria and flood solutions where data were collected through surveying 29 Department of Transportation professionals from different states. In addition, the study adopted a quantitative methodology by surveying 55 versed participants who reside in a coastal area and have coastal flood experiences. The data analysis included ordinal probit regression and descriptive analysis.
Findings
The results suggest that robustness is the highest weighted criterion for implementing SF design in coastal cities. The results demonstrated that ecosystem restoration is the highest-ranked SF flood solution followed by green infrastructure. Moreover, the results highlighted that age, duration spent in the program and prior knowledge of SF are significantly related to AEC students’ interest to learn this concept.
Originality/value
SF design anticipates failures while designing infrastructures thus minimizing failure consequences due to flood disasters. The findings can facilitate the implementation of the SF design concept during the construction of new infrastructures in coastal cities as well as educate the future workforces to contribute to developing resilient built environments.
SF (safety -to-fail)是一种新兴的弹性设计方法,有可能将洪水破坏的严重程度降到最低。本研究的目的是探讨美国沿海城市的顺丰设计策略,以减少洪水灾害造成的损失。因此,本研究解决了两个研究问题:从行业专家的角度确定最适合沿海城市的SF标准和洪水解决方案;调查影响AEC学生通过课程学习SF概念兴趣的控制因素。设计/方法/方法本研究使用层次分析法来评估SF标准和洪水解决方案,数据是通过调查来自不同州的29名交通运输部专业人员收集的。此外,本研究采用定量方法,调查了55名居住在沿海地区并有沿海洪水经历的资深参与者。数据分析包括有序概率回归和描述性分析。结果表明,稳健性是在沿海城市实施顺丰设计的最高加权标准。结果表明,生态系统恢复是SF解决方案中排名最高的,其次是绿色基础设施。此外,研究结果强调,年龄、在项目中度过的时间和对SF的先验知识与AEC学生学习这一概念的兴趣显著相关。原创性/价值f设计在设计基础设施时预测故障,从而最大限度地减少由于洪水灾害造成的故障后果。研究结果可以促进SF设计理念在沿海城市新基础设施建设中的实施,并教育未来的劳动力为发展弹性建筑环境做出贡献。