当前位置: X-MOL 学术Autom. Constr. › 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.)
Assessing the impact of construction industry stakeholders on workers' unsafe behaviours using extended decision making approach
Automation in Construction ( IF 10.3 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.autcon.2020.103162
Seyed Meysam Khoshnava , Raheleh Rostami , Rosli Mohamad Zin , Arunodaya Raj Mishra , Pratibha Rani , Abbas Mardani , Melfi Alrasheedi

Abstract The construction industry (CI) is one of the most hazardous where the specific behaviours of different stakeholders can be contrary to the conditions and safety behaviours in the construction process. Understanding the nature of this kind of uncertainty can reduce the level of inconsistency that reinforces the safety management system in CI. The purpose of this paper is to present an interval-valued intuitionistic fuzzy-improved score function and weighted divergence based approximation (IVIF-ISF-WDBA) approach for ranking main stakeholders with clear duties that can influence workers' unsafe behaviours as well as risk reduction in final decisions. In this method, a score matrix is compiled based on improved score performance and IVIF decision matrix, and then a linear programming model is developed to determine the weight of unknown criteria. In addition, a divergence measure has been developed to find out the degree of performance of the alternatives. Next, we perform comparative and sensitivity analyses with different proposed methods and different weight criteria sets to determine the stability of the developed approach. The results indicated that the most effective safety factors (ESFs) are safety climate factor3 (SCF3) (safety management rules and regulations) at 45%, and safety perceptual factor2 (SPF2) (workers' preferences and behaviours related to safety category) at 25%. The LP-model ranked client, designer, construction manager, and contractor as the authoritative bodies that should carry out extensive inspections of ESFs, namely, SCFs, SPFs, and workplace condition factors (WCFs) in the preconstruction phase. However, these priorities can change during the construction phase among the contractor, construction manager, supervisor, client, and designer. This study concluded that workers' unsafe behaviours could be linked to stakeholder duties in complex and dynamic conditions of the CI.

中文翻译:

使用扩展决策方法评估建筑行业利益相关者对工人不安全行为的影响

摘要 建筑行业(CI)是最危险的行业之一,不同利益相关者的具体行为可能与施工过程中的条件和安全行为背道而驰。了解这种不确定性的性质可以降低加强 CI 中安全管理系统的不一致程度。本文的目的是提出一种区间值直觉模糊改进评分函数和基于加权发散的近似(IVIF-ISF-WDBA)方法,用于对具有明确职责的主要利益相关者进行排名,这些利益相关者可以影响工人的不安全行为以及降低风险在最终决定中。在该方法中,基于改进的得分性能和IVIF决策矩阵编制得分矩阵,然后建立一个线性规划模型来确定未知标准的权重。此外,还开发了一种差异度量来确定替代方案的性能程度。接下来,我们使用不同的建议方法和不同的权重标准集进行比较和敏感性分析,以确定所开发方法的稳定性。结果表明,最有效的安全因素 (ESF) 是 45% 的安全气候因素 3 (SCF3)(安全管理规则和法规),以及 25% 的安全感知因素 2 (SPF2)(与安全类别相关的工人偏好和行为) %。LP 模型将客户、设计师、施工经理和承包商列为应对 ESF 进行广泛检查的权威机构,即 SCF、SPF、和施工前阶段的工作场所条件因素 (WCF)。但是,在施工阶段,承包商、施工经理、主管、客户和设计师之间的这些优先级可能会发生变化。该研究得出的结论是,工人的不安全行为可能与 CI 复杂和动态条件下的利益相关者职责有关。
更新日期:2020-10-01
down
wechat
bug