• 한국안전학회지
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• 제31권3호
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• pp.96-101
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• 2016

Previous literature has been investigated various aspects of accident occurrence and prevention in construction field. However, those studied were limited in that they only focused on the death accident without considering the loss time accident. Based on this, the goal of current study was to investigate the nature of the loss time accident, and compare the results with the death accident. Results showed that 1) the occurrence rate of death accident was significantly higher in the form work, temporary work, and steel frame work; 2) the temporary work showed significantly higher occurrence rate of the loss time accident and the death accident as compared to others; 3) ratio of the loss time accident to the death accident in domestic construction field was 50:1; 4) fall accident showed biggest occurrence rate in both the loss time accident and the death accident; and 5) more that 80% of workers in both the loss time accident and the death accident was between 41 and 65 years old.

• 대한안전경영과학회지
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• 제12권3호
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• pp.73-79
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• 2010

Currently, in Korea, an accident that takes place during a worker's commuting is generally not considered as work-related accident. However, there are several exceptions such as an accident that occurs in commuting while using transportation provided by an employer, an accident that happens during commuting time that can be regarded as part of a business activity (e.g. tending to work instructed by an employer on the way to or from work), and an accident that is caused by insufficient facility management by an employer. It is even more so as the workers' commuting distance increases with expanding scale of a city, and traffic accident occurs more frequent. Social risk of commuting-time accident is on the rise. Under this circumstance, it is an important social issue to explore how to protect workers from commuting-time accident.

• 대한안전경영과학회지
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• 제2권4호
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• pp.9-17
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• 2000

For the accident prevention, it is necessary to identify common factors and characteristics contributing to the industrial accidents. This study concerned with the accident characteristics by age of injured person in the manufacturing industries. To make the statistical comparisons for the accident characteristics by age group, we derived the distributions of occupational injuries in terms of accident time, accident type, activity at time of accident, injury type, injured part of body, agency of accident, and workday losses. The results show that the characteristics of the occupational injuries by age group are not significantly different in a31 characteristics investigated in this study.

• 한국안전학회지
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• 제25권6호
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• pp.47-52
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• 2010

Many industrial accidents have occurred over the years in the manufacturing and construction industries in Korea. However, as the service industry has increased continuously, the share of the accident rate in the service industry was 39.07% in 2009, while the manufacturing industry share was 33.73%. The service industry share overtook the manufacturing industry share for the first time. Therefore, this research considers prevention of industrial accidents in the service industry as well as manufacturing and construction industries. This paper describes a procedure and a method to estimate efficient accident rate forecasting and estimated zero accident time in the service industry in order to prevent industrial accidents in the transportation, storage, and telecommunication divisions. This paper proposes a model using an analytical function for the sake of very efficient accident rate forecasting. Accordingly, this paper has develops a program for accident rate forecasting, zero accident time estimating, and calculation of achievement probability through MFC (Microsoft Foundation Class) software Visual Studio 2008 in the transportation, storage, and telecommunication divisions. In results of this paper, ARIMA (Auto Regressive Integrating Moving Average) is regarded as a very efficient forecasting model for the transportation, storage, and telecommunication division. In testing this model, value minimizing the Sum of Square Errors (SSE) was calculated as 0.2532. Finally the results of this paper are sure to help establish easy accident rate forecasting and strategy or method of zero accident time in the service industry for prevention of industrial accidents.

• 산업경영시스템학회지
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• 제40권1호
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• pp.87-94
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• 2017

Many industrial accidents have occurred continuously in the manufacturing industries, construction industries, and service industries of Korea. Fatal accidents have occurred most frequently in the construction industries of Korea. Especially, the trend analysis of the accident rate and fatal accident rate is very important in order to prevent industrial accidents in the construction industries systematically. This paper considers forecasting of the accident rate and fatal accident rate with static and dynamic time series analysis methods in the construction industries. Therefore, this paper describes the optimal accident rate and fatal accident rate by minimization of the sum of square errors (SSE) among regression analysis method (RAM), exponential smoothing method (ESM), double exponential smoothing method (DESM), auto-regressive integrated moving average (ARIMA) model, proposed analytic function model (PAFM), and kalman filtering model (KFM) with existing accident data in construction industries. In this paper, microsoft foundation class (MFC) soft of Visual Studio 2008 was used to predict the accident rate and fatal accident rate. Zero Accident Program developed in this paper is defined as the predicted accident rate and fatal accident rate, the zero accident target time, and the zero accident time based on the achievement probability calculated rationally and practically. The minimum value for minimizing SSE in the construction industries was found in 0.1666 and 1.4579 in the accident rate and fatal accident rate, respectively. Accordingly, RAM and ARIMA model are ideally applied in the accident rate and fatal accident rate, respectively. Finally, the trend analysis of this paper provides decisive information in order to prevent industrial accidents in construction industries very systematically.

• 대한안전경영과학회지
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• 제4권4호
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• pp.63-71
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• 2002

Accident analyses are used to identify common factors contributing to occupational accidents and to give recommendations for accident prevention. This study concerns with the accident characteristics and prevention in the telecommunication service industry. To investigate the accident characteristics, we used workers' compensation reports and employers' accident analysis reports. Three hundred and forty-five injury accidents which results in more than 4 days absence were surveyed. These data were used to investigate the accident characteristics in terms of company size, injured person's age, work experience, accident time, activity at time of accident, accident type, injured body part, and accident agency. We propose the accident prevention policy based on the accident characteristics. These results can be used to develop more effective occupational safety management policies in the telecommunication service industries.

• Journal of Multimedia Information System
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• 제5권2호
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• pp.111-114
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• 2018

Traffic accident analysis is important to reduce the occurrence of the accidents. In this paper, we analyze the traffic accident with Apriori algorithm to find out an association rule of traffic accident in Korea. We first design the traffic accident analysis model, and then collect the traffic accidents data. We preprocessed the collected data and derived some new variables and attributes for analyzing. Next, we analyze based on statistical method and Apriori algorithm. The result shows that many large-scale accident has occurred by vans in daytime. Medium-scale accident has occurred more in day than nighttime, and by cars more than vans. Small-scale accident has occurred more in night time than day time, however, the numbers were similar. Also, car-human accident is more occurred than car-car accident in small-scale accident.

• 대한안전경영과학회지
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• 제3권2호
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• pp.105-112
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• 2001

This study concerns with the accident characteristics and prevention in small manufacturing industries of chemical products. To investigate the accident characteristics, we used workers' compensation reports and employers' accident analysis reports. One hundred and seven injury accidents which results in more than 4 days absence were surveyed from the manufacturing companies with under 100 employees. These data were used to investigate the accident characteristics in terms of company size, injured person's age, work experience, accident time, activity at time of accident, accident type, injury type, injured body Part, and accident agency We propose the accident prevention policy based on the accident characteristics. These results can be used to develop more effective occupational safety management policies in small manufacturing industries of chemical products.

• 한국안전학회지
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• 제29권2호
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• pp.76-81
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• 2014

Railroad traffic accident consists of train accident, level-crossing accident, traffic death and injury accident caused by train or vehicle, and it is showing a continuous downward trend over a long period of time. As a result of the frequency comparison of train accidents and level-crossing accidents using the railway accident statistics data of Railway Industry Information Center, the share of train accident is over 90% in the 1990s and 80% in the 2000s more than the one of level-crossing accidents. In this study, we investigated time series characteristic and short-term prediction of railroad crossing, as well as seasonal characteristic. The analysis data has been accumulated over the past 20 years by using the frequency data of level-crossing accident, and was used as a frequency data per month and year. As a result of the analysis, the frequency of accident has the characteristics of the seasonal occurrence, and it doesn't show the significant decreasing trend in a short-term.

• 한국안전학회지
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• 제32권5호
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• pp.96-102
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• 2017

The highest fatal accident ratio was recorded in the construction industry. According to the industrial insurance premium rate & business type example, among the construction industry, the architectural work has the highest fatal and loss time accident ratio. Previous literature has investigated various aspects of accident occurrence and prevention in architectural work. However, those studied were limited in that they only focused on the fatal accident without considering the loss time accident. But non fatal accidents were recorded more than 50 times of fatal accidents. Therefore non fatal accidents must be controlled to lessen industrial accidents. Based on this, the goal of this study was to investigate the nature of the loss time accident and derive the risk index of work type in architectural work. In this study, opinions of safety experts were gathered and the risk index of work type was derived using AHP(Analytic Hierarchy Process). And verification was accomplished by comparing the results of this study with the risk index derived by analysis of accident records. Results showed that the risk index of work type was significantly higher in steel frame work, temporary installation work, earth & foundation work, facilities work, concrete work. And statistical analysis for verification showed that coefficient of Pearson correlation was 0.686 and P-value was 0.001.