• Journal of the Korea Institute of Building Construction
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• v.14 no.5
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• pp.443-449
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• 2014

Although risk reduction of construction projects have been continued, the risk of fatal accident has been increased. The purpose of this paper is to reduce the cause of the essential risk factors. Questionnaire survey of construction companies in domestic was conducted and the Multiple Regression Analysis of statistics program was used to grasp effective factors among the risk factors of construction companies in domestic. Development of the essential risk factors and its application to projects could lead to improvements such as compression of network, reduction of cost, improvement of quality and reduction of safety accident.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.8
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• pp.144-150
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• 2007

As usage of electric power is increased, the electric fire accident occurrences are growing, too. According to statistics it can be known that electric fire occupies the most weight. However, the method that can detect electric fire accurately is not being developed yet. This paper analyzes the cause of electric fire and the characteristics of Arc Fault Circuit Interrupter(AFCI). First this paper compares AFCI with existing molded-case circuit breaker and finds the hazards caused by arc through power calculation and compares with danger by short circuit. And we suggest the necessity of AFCI through studying relationship of AFCI installation and societal cost.

• Journal of the Korean Society of Safety
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• v.34 no.5
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• pp.78-86
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• 2019

Various safety measures have been established and implemented in order to reduce construction accidents. However, statistics data on at construction sites still show higher accident and mortality rates than other industries. As a result of investigating the causes of accidents occurring in the construction industry, most accidents resulted from the failure of the system. Therefore, the existing safety management system of the construction site is monitored so that it operates properly in the field, and it is an important factor to actively participate in construction work. In order to overcome this, the government emphasized on-site inspections and planning and implementation confirmation by public institutes to ensure the effectiveness of the safety management system through amendment of the Construction Technology Promotion Act, but the orderer' safety capability and manpower are insufficient at present. Therefore, in this study, the safety management system, such as design for safety, safety management plan, safety check, safety management cost, etc. specified in the Construction Technology Promotion Act, is regularly checked and confirmed to improve the effectiveness of the safety management system as well as to improve the safety management system of the construction site by deriving measures to strengthen the public function of the government.

• Journal of Korean Society of Transportation
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• v.23 no.3 s.81
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• pp.125-136
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• 2005

The current traffic accident reduction procedure in economic feasibility study does not consider the characteristics of road and V/C ratio. For solving this problem, this paper suggests methods to be able to evaluate safety of each road in construction and improvement through developing accident Prediction model in reflecting V/C ratio Per road types and traffic characters. In this paper as primary process, model is made by tke object of urban roads. Most of all, factor effecting on accident relying on road types is selected. At this point, selecting criteria chooses data obtained from road planning procedure, traffic volume, existence or non-existence of median barrier, and the number of crossing point, of connecting road. and of traffic signals. As a result of analyzing between each factor and accident. all appear to have relatives at a significant level of statistics. In this research, models are classified as 4-categorized classes according to roads and V/C ratio and each of models draws accident predicting model through Poisson regression along with verifying real situation data. The results of verifying models come out relatively satisfactory estimation against real traffic data. In this paper, traffic accident prediction is possible caused by road's physical characters by developing accident predicting model per road types resulted in V/C ratio and this result is inferred to be used on predicting accident cost when road construction and improvement are performed. Because data using this paper are limited in only province of Jeollabuk-Do, this paper has a limitation of revealing standards of all regions (nation).

• Journal of the Ergonomics Society of Korea
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• v.17 no.3
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• pp.117-126
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• 1998

Safety aspect in the manufacturing facility or at the construction site is increasingly emphasized in Korea for last a decade. As a result, the number of industrial accident is decreased slowly by improving the reliability of equipments and human performance through organizational efforts. This paper proposes a mathematical model to estimate and predict the human reliability level corresponding to the worker's job experience. For this purpose, we used the statistics of industrial accidents issued by the Department of Labor in the years of 94-96. The methodology developed in this research will provide a basis for better cost estimation in planning labor policy in the early stage of a project. We believe that this effort would eventually lead to a basis for a new approach to the safety planning.