• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.283-297
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• 2010

This study carried out the investigation about the actual conditions of the management, disaster analysis and safety awareness on excavator in one of construction equipment and tried to make it's preventive measures. To achieve this, first of all, the accident of the internal Construction Industry process Investigation and Analysis, and then analyze an cause of accident based on it. Next, For the conditions of safety management conduct a survey to Investigation and Analysis and Propose preventive measures. The results of this study can be summarized as follows. 1st, Status of safety awareness and management of construction equipment tend to seek quickly and easily for the interests of sight. 2nd, Half the precincts of the equipment is causing major disaster. 3rd, The risk of excavator operation's indicators and drivers is so much potential. 4th, The preventive measures are needed for strengthening safety education, professional legal education, changes in safety awareness, the development of prevention system.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.81-91
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• 2010

This study carried out the investigation about the actual conditions of the management, disaster analysis and safety awareness on excavator in one of construction equipment and tried to make it's preventive measures. To achieve this, first of all, the accident of the internal Construction Industry process Investigation and Analysis, and then analyze an cause of accident based on it. Next, For the conditions of safety management conduct a survey to Investigation and Analysis and Propose preventive measures. The results of this study can be summarized as follows. 1st, Status of safety awareness and management of construction equipment tend to seek quickly and easily for the interests of sight. 2nd, Half the precincts of the equipment is causing major disaster. 3rd, The risk of excavator operation's indicators and drivers is so much potential. 4th, The preventive measures are needed for strengthening safety education, professional legal education, changes in safety awareness, the development of prevention system.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.9-15
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• 2023

The Severe Disaster Punishment Act had recently been established in order to promote safety and health (OSH) management system for severe accident prevention. OSH management system is primarily designed based on risk assessments; however, companies in industries have been experiencing difficulties in hazard identification and selecting proper measures for risk assessments and accident prevention. This study intended to introduce an accident analysis method based on epidemiological model in finding hazard and preventive measures. The accident analysis method employed in this study was proposed by the U.S. Department of Energy. To demonstrate the effectiveness of the accident analysis method, this study applied it to two accident cases occurred in construction and manufacturing industries. The application process and results of this study can be utilized in improving OSH management system and preventing severe accidents.

• Journal of the Korea Safety Management & Science
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• v.8 no.6
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• pp.1-11
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• 2006

Since Zohar(1980) emphasized the influence of social, organizational, and psychological context in occupational safety and health study, the research in this area tends to be emphasizing the influences of personal and physical interaction. With this research trend, this paper is to examine the relationship between safety climate model and safety accident, and the interactional or moderating effect of personal and physical factor on the above relationship. Author conducted a survey to 292 manufacturing workers in construction industry, and the chief results of statistical analysis are as follows 1) management involvement, safety education, precaution activities, and safety system have negative effects on safety accident, 2) a-type personality has interactional effect on safety accident with communication, precaution activities, and safety system. 3) physical job load has interactional effect on safety accident with precaution activities, and safety system.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.151-160
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• 2006

Since Zohar(1980) emphasized the influence of social, organizational, and psychological context in occupational safety and health study, the research in this area tends to be emphasizing the influences of personal and physical interaction. With this research trend, this paper is to examine the relationship between safety climate model and safety accident, and the interactional or moderating effect of personal and physical factor on the above relationship. Author conducted a survey to 292 manufacturing workers in construction industry, and the chief results of statistical analysis are as follows : 1) management involvement, safety education, precaution activities, and safety system have negative effects on safety accident, 2) a-type personality has interactional effect on safety accident with communication, precaution activities, and safety system. 3) physical job load has interactional effect on safety accident with precaution activities, and safety system.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.123-135
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• 2004

Construction accident have been increasing in despite of safety management activities and education in construction site. This study surveyed safety organization, education, safety management, scheduling, safety checklist with construction firms in order to grasp the actual condition. A improved method is suggested that safety checklist is supplemented with various safety materials and then stored as database. Furthermore, safety checklists are connected and operated with schedule in ender to more efficiently prevent construction accidents.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.609-615
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• 2024

The construction industry's fatality count stands at 402, comprising approximately 46% of total industrial accidents. Notably, construction costs less than 5 billion won account for about 69%, so strengthening safety management at small and medium-sized construction sites is required. In this study, 19,511 accident investigation data were collected using web scraping. Through statistical analysis of the collected structured data and text mining analysis of the unstructured data, accident types and causes of accidents were analyzed by construction costs at sites less than 5 billion won. As a result, it was confirmed that there were differences in accident types and causes depending on the construction costs. It is hoped that the results of this study will be used for customized safety management at small and medium-sized construction sites.

• Journal of the Korean Society of Safety
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• v.16 no.3
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• pp.106-110
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• 2001

For the policy makers and managers as well as the workers at work, it is important to identify what affects, to what extent, the safety level and costs of work sites. Within this context, the author analyzes fifteen construction work sites of the Incheon International Airport from 1996 to 1999 and shows that the expenditures for safety personnel and education programs contribute to reducing industrial accident costs. In addition, the author demonstrates that the regression analysis out-performs Heinrich method in estimating the accident costs of those work sites.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.744-751
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• 2022

Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.40-41
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• 2019

The purpose of this study is to analyze the vocabulary related to safety accidents based on the reports recorded on the violation of safety rules at the construction sites. We used Word2Vec and Topic Model as natural language processing techniques to analyze the safety accidents presented in the reports of the large enterprise. The words that appeared based on the occupational accident types such as the fall, falling objects, and others were derived and visualized. We derive the frequency and similarity of the words and topics of the accident that occur at the construction site. In future studies, we will be able to proceed with the generation of texts from pictures based on images and this reports.