• Korean Journal of Construction Engineering and Management
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• v.14 no.6
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• pp.3-13
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• 2013

The converted accident rates that included in Pre-Qualification (PQ) are to evaluate the results of accidents which have occurred. Therefore, it is demanded the development of proactive evaluation contents to evaluate the safety management activities and efforts on construction companies. The purpose of this study is to provide basic data for the establishment of proactive evaluation contents at public construction project in Korea through the collected and analyzed the PQ documentation applied by public agencies in Los Angeles, USA. The results indicated that diverse reactive safety evaluations are implemented to examine accidents which occurred in past projects such as occupational health insurance, regulation violation. And also, when the accidents occurred, it is evaluated the proactive safety management actions such as safety education, accident prevention programs, and safety management plans are reflected on the evaluation. Thus, if proactive safety related evaluation contents are established and reflected in PQ examinations together with diverse existing reactive safety evaluations considering converted accident rates, not only the existing function of converted accident rates can be reinforced but also businesses' active safety management activities can be induced and decreases in the construction industry's accident rate can be expected.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2001.11a
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• pp.349.1-357
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• 2001

안전장치가 설치된 승강기는 1857년 Otis에 의해 개발되어 최근 건물의 고층화에 따른 사람들의 수직 및 수평 운송수단으로서 우리들의 일상적인 생활에 없어서는 안 될 시설임에도 불구하고 그 이용에 따른 안전사고가 발생하고 있다. 1993년부터 2000년까지 한국승강기안전관리원$^{1)}$ 에 따른 승강기 안전사고 발생현황은 총 승강기 설치대수에 대한 년 평균 재해발생율이 0.0414%로 총 안전사고 건수 143건에 대한 재해자가 180명이 발생하였으며, 그 중 승객용 승강기는 전체 재해의 약 42.6%를 차지하고, 180명의 재해자 중에서 중상 이상의 재해자가 약 80.1%를 차지하고 있다.(중략)

• Journal of the Korea Institute of Building Construction
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• v.17 no.3
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• pp.295-303
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• 2017

Over the past 7 years, the number of victims of construction disasters has been gradually increasing. Compared with projects in other industries, construction projects are highly exposed to safety risks. For this reason, the research methods of predicting and managing the risk of construction disasters are urgently needed that can be applied to a construction site. This study aims to propose a prediction model for a construction disaster using the decision tree technique. The developed the model is reviewed the applicability by evaluating its accuracy based on disaster data. The top three of the prediction values obtained from the proposed model were enumerated, and then the cumulative accuracy were also calculated. The prediction accuracy was 40 percent for the first value, but the cumulative accuracy was 80 percent. Thus, as more disaster data was accumulated, the cumulative accuracy appeared to be higher. If utilized in construction sites, the model proposed in this study would contribute to a reduction in the rate of construction disasters.

• 월간 기계설비
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• s.262
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• pp.53-57
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• 2012

최근들어 경쟁력 확보의 한 방안으로 철저한 안전관리를 통한 기업손실 및 생산성 방지 방안이 주목받고 있다. 또한 주계약자공동도급 등 협력사 선정을 비롯해 건설공사 PQ 가산점과 관련된 재해예방활동 평가의 지표로 활용하기 위해 안전보건경영시스템 인증 취득이 늘어나고 있는 추세이다. '안전보건경영시스템'은 재해예방과 기업손실 감소를 체계적으로 추진하기 위한 자율안전보건체계로서, 이 인증 취득을 통해 기업은 기업경영의 우수성을 객관적으로 평가받을 수 있으며 산업재해율을 현저히 낮출 수 있다. 우리나라의 경우 국내에서 통용되는 KOSHA18001과 국외에서 통용되는 OHSAS18001을 취득해 건설현장의 잠재적인 위험요소 및 안전사고 예방에 힘쓰고 있다. 지난호에 KOSHA18001의 전반적인 사항을 게재하였으나 OHSAS 인증을 취득한 회원사의 요청으로 이번호에는 안전보건경영시스템의 대표적인 두 인증에 대해 상호 비교해본다.

• Journal of the Korea Institute of Building Construction
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• v.23 no.6
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• pp.831-839
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• 2023

This study aims to develop a framework for an accident prediction model leveraging a deep neural network algorithm, specifically tailored for small-scale construction sites. Notably, the incidence of accidents in the construction sector is markedly higher compared to other industries, with a significant contribution from small-scale sites. The challenging nature of construction in urban settings, coupled with the increasing frequency of adverse weather conditions, is likely to escalate accident risks at these sites. Anticipating and mitigating accidents at small-scale construction sites is therefore crucial to decrease the overall industry accident rate. Consequently, this research introduces a Deep Neural Network-based model for forecasting accidents at small-scale construction sites. The framework and findings of this study are poised to serve as a guideline for the safety management of small-scale construction projects, ultimately aiding in the realization of safer, more sustainable construction practices at these sites.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.429-438
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• 2018

Recently, there has been a tendency for accidents occurring in manufacturing to lead to serious accidents and serious industrial accidents and to extend to community disasters. In accordance with the Third Plan (2015-2019) of the National Security Management Plan, the Safety Administration announces and promotes improvement measures to minimize industrial accidents and disasters. In the case of industrial accidents from KOSHA 2015 to 2017, the accident rate of the metal-related manufacturing industry is 1.57%, which is more than three times higher than the average 0.50% of all industries. As a result of investigating the causes of disasters, 72% of workers were found to be caused by unsafe behaviors. In addition, insecure behaviors are closely related to safety consciousness, and a survey on safety consciousness was conducted for workers in this field. Safety consciousness improvement has the affirmative effect on accident prevention and it is a factor to reduce accidents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.44-52
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• 2019

Industrial accidents differ considerably according to the industry and the scale of these industries. These industrial disasters have been analyzed in various ways. Therefore, a technique was developed to evaluate the disaster level among companies using the ANP method and the data derived from the disaster statistics over the past five years(2013~2017), as well as the safety information characteristics through questionnaires. The objective of the study was to determine the disaster level and safety level of a company. In this paper, six factors that are considered important for assessing the disaster level of the enterprise among the disaster statistics were selected. These factors included the industry type and size, age of employee, duration of treatment, duration of employment, and typical occurrence. Most companies use the accident rate for their disaster level to compare only with other companies. In this study, the weighting factors of the company were derived taking the characteristics of each company into consideration. Therefore, the disaster level of each company can be evaluated using the disaster statistics from each company and the derived weighting factors.

• The Safety technology
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• no.174
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• pp.12-13
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• 2012

고용노동부 이채필 장관이 취임 1년을 맞았다. 이 장관의 취임 후 산업안전보건 분야는 산업재해자의 감소, 산재율 감소 등의 많은 성과를 이루어냈다. 산재감소를 위한 각계의 노력을 한데 모아나갔던 것이 이렇게 큰 성과로 나타난 것이다. 이외에도 이 장관은 근로 시간 줄이기 등 다양한 고용노동정책을 추진하면서 산업현장의 불합리한 짐을 고치려 많이 노력해왔다는 평가를 받고 있다. 이 장관과 우리나라 산업안전 분야의 산적한 문제점들을 해결하기 위한 고용노동부의 계획 등에 관해 이야기를 나눠봤다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.177-178
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• 2022

건설 안전관리는 건설업을 행하는 과정에서 발생하는 사고 나 재해의 발생 원인과 예방을 위한 관리 대책을 수립하여 인명과 재산을 보호하기 위한 모든 활동을 말한다건설현장의 안전사고는 근로자에게는 육체적 8정신적 고통과 노동력의 상실에 따른 경제적 부담이 발생하며 기업 입장에서는 생산력의 저하와 비용의 증가=국가로서도 사회 경제적 손실이 발생함으로 효율적이고 실질적인 안전관리 대책이 반드시 필요하다건설공사가 대형화=복잡화=고층화 및 대규모 지하 굴착과 같은 고난도의 작업이 많아짐에 따라 작업 환경의 특수성과 작업 환경상 높은 위험을 갖게 되었다.

• Journal of the Korea Institute of Building Construction
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• v.17 no.2
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• pp.191-197
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• 2017

The safety nature of construction industry differs from that of manufacturing sector. For instance, accident risk level dramatically varies at each phase of construction process. Korean Occupational and Health Safety Act has been regulated OHS expense and it contributed reducing accident risk and enhancing safety culture for many years. However, although current regulation guides to use OHS expense proportionate to construction progress, it still allows late use of the expense. This study was conducted for the purpose of presenting methods of estimating a step-by-step OHS expense rate required at each construction phase. In order to do provide proper OHS expense schedule, it analysed accident risk of each construction phase by sorting out 1439 cases of construction site fatality reports, and proposed a method of generating appropriate OHS expense scheme according to its construction work progress characteristics. Both linear and sigmoidal S-curve model were used for the analysis, and the latter generally requires earlier use of OHS expense. By comparing the estimated OHS expense use schedule with current criteria, more than 27%p early use of OHS expense is required for the prevention of accident.