ABSTRACT

The accident rate in the Korean construction industry is rapidly increasing each year. In particular, the mortality rate from human accidents in construction is very high compared to that of other industries. This indicates that the safety activities carried out at the national level have not been effective in reducing the accident rate. To resolve these problems, the risk factors for human accidents should not only be forecasted in advance, but should also be controlled, monitored, and managed from the commencement to the completion of construction projects. However, most studies on this topic have only listed the importance of risks based on the frequency of safety accidents rather than providing a quantitative analysis. Therefore, it is necessary to develop a model that can analyze and quantify the pattern of human accident risks. The purpose of this study is to develop a quantification model for human accidents in South Korean construction sites. To this end, insurance claim payout data were collected and analyzed to develop a risk quantification model using a Monte Carlo simulation. The results will be used as base data to develop a construction site safety management checklist and human accident prediction model.

摘要

韩国建筑业的事故率每年都在迅速增加。尤其是建筑业人为事故的死亡率与其他行业相比非常高。这表明，国家层面开展的安全活动在降低事故率方面并未取得成效。解决这些问题，不仅要提前预测人为事故的风险因素，而且要从建设项目的开工到竣工，对其进行控制、监测和管理。然而，大多数关于该主题的研究仅根据安全事故的频率列出了风险的重要性，而没有提供定量分析。因此，有必要开发一种可以分析和量化人类事故风险模式的模型。本研究的目的是开发韩国建筑工地人员事故的量化模型。为此，收集并分析了保险索赔支付数据，以使用蒙特卡罗模拟开发风险量化模型。结果将用作基础数据，以开发施工现场安全管理清单和人为事故预测模型。