ABSTRACT

Human-related errors are the major causes of most accidents in construction industry, and Human Factors Analysis and Classification System (HFACS) is widely used to analyze and prevent these accidents. However, traditional HFACS models are usually conducted post-accident and neglect personalized accident causal factors that reflect the safety state of individuals more directly and varies in near real time. In this study, an improved HFACS model for personalized safety management is developed from literature research and expert experience and preliminary results show that the model is superior to traditional safety management by reflecting and analyzing the personalized safety state of workers.

摘要

人为错误是建筑行业大多数事故的主要原因，人为因素分析和分类系统（HFACS）被广泛用于分析和预防这些事故。然而，传统的 HFACS 模型通常是在事故后进行的，而忽略了更直接地反映个人安全状态并近乎实时变化的个性化事故原因因素。本研究根据文献研究和专家经验，开发了一种改进的个性化安全管理HFACS模型，初步结果表明，该模型通过反映和分析工人的个性化安全状态，优于传统的安全管理。