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Hybrid Model for Assessing the Influence of Safety Management Practices on Labor Productivity in Multistory Building Projects

机译:用于评估安全管理实践对多层建筑项目劳动生产力影响的混合模型

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摘要

The occurrence of accidents at construction sites has negative effects on labor productivity. Conversely, the implementation of good safety management practices (SMPs) can increase productivity. Thus, to enhance productivity, it is essential to assess the implementation levels of safety practices and analyze their effects on productivity. This study aims to develop novel models for assessing the implementation levels of SMPs and for the prediction of labor productivity in multistory building projects. Data regarding safety management practices, projects' start dates, and projects' completion dates were collected from 39 multistory building projects across Melbourne, Australia. The quantitative data were analyzed and a scoring tool to measure, plan, and monitor the safety practices influencing the productivity of construction projects was developed. Further, linear and logistic regression models were developed to predict labor productivity when a score of SMPs is determined. By integrating the models and the scoring tool, a user-friendly instrument for assessing the impact of SMPs on the productivity performance of a building project was developed. This study contributes to the body of knowledge by providing tool and models that aid construction project managers to make appropriate decisions regarding the implementation levels of the safety practices influencing building projects' productivity.
机译:建筑工地事故发生对劳动生产率产生负面影响。相反,实施良好的安全管理实践(SMPS)可以提高生产力。因此,为了提高生产率,必须评估安全实践的实施水平,并分析它们对生产力的影响。本研究旨在开发用于评估SMPS实施水平的新型模型,并在多层建筑项目中预测劳动生产率的预测。关于安全管理实践,项目开始日期和项目完成日期的数据是从澳大利亚墨尔本的39个多层建筑项目收集的。分析了定量数据,制定了测量,计划和监测影响建设项目生产力的安全实践的评分工具。此外,开发了线性和逻辑回归模型以在确定SMPS得分时预测劳动生产率。通过集成模型和得分工具,开发了一种用于评估SMPS对建筑项目生产率性能的用户友好乐器。本研究通过提供援助建设项目管理人员对影响建筑项目生产力的安全实践的实施水平进行适当决定的工具和模型有助于了解知识体系。

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