• 제목/요약/키워드: industrial accident index

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A Policy Intervention Study to Identify High-Risk Groups to Prevent Industrial Accidents in Republic of Korea

  • Yi, Kwan Hyung;Lee, Seung Soo
    • Safety and Health at Work
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    • 제7권3호
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    • pp.213-217
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    • 2016
  • Background: The objective of this study is to identify high-risk groups for industrial accidents by setting up 2003 as the base year and conducting an in-depth analysis of the trends of major industrial accident indexes the index of industrial accident rate, the index of occupational injury rate, the index of occupational illness and disease rate per 10,000 people, and the index of occupational injury fatality rate per 10,000 people for the past 10 years. Methods: This study selected industrial accident victims, who died or received more than 4 days of medical care benefits, due to occupational accidents and diseases occurring at workplaces, subject to the Industrial Accident Compensation Insurance Act, as the study population. Results: According to the trends of four major indexes by workplace characteristics, the whole industry has shown a decreasing tendency in all four major indexes since the base year (2003); as of 2012, the index of industrial accident rate was 67, while the index of occupational injury fatality rate per 10,000 people was 59. Conclusion: The manufacturing industry, age over 50 years and workplaces with more than 50 employees showed a high severity level of occupational accidents. Male workers showed a higher severity level of occupational accidents than female workers. The employment period of < 3 years and newly hired workers with a relatively shorter working period are likely to have more occupational accidents than others. Overall, an industrial accident prevention policy must be established by concentrating all available resources and capacities of these high-risk groups.

Developing Concentration Index of Industrial and Occupational Accidents: The Case of European Countries

  • Lee, Sanghoon;Chang, Seong Rok;Suh, Yongyoon
    • Safety and Health at Work
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    • 제11권3호
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    • pp.266-274
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    • 2020
  • Background: From only frequency rate of industrial accidents, it is difficult to define the industry composition of accident statistics in a nation. This study aims to propose and develop a new index for measuring the degree of concentration of industrial accidents using the concept of the Herfindahl-Hirschman Index in the case of European countries. Methods: Using the concept of the Herfindahl-Hirschman Index, the concentration index of accidents in the country is developed, and the conditions of European countries are compared using indexes of frequency rate and concentration ratio. Results: The frequency rate and concentration ratio of fatal and nonfatal accidents in European countries are compared. According to the economic condition and geographical position, different patterns of accidents concentration are presented in terms of frequency rate and concentration ratio. Conclusion: We develop the concentration index of industrial and occupational accidents that identifies the industrial ratio of accident occurrence, and the differentiated strategy can be formulated such as approaches to reducing frequency and prioritizing target industries.

국내 산업재해집중수준 확인을 위한 지표분석 (Index Analysis Approach to Identifying Accident Concentration Level of Korean Industries)

  • 이봉근;서용윤;장성록
    • 한국안전학회지
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    • 제35권5호
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    • pp.59-65
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    • 2020
  • For monitoring the status of industrial accidents, many statistical indexes have been developed and applied such as fatal rate, frequency rate, and severity rate. These accident indexes are measured by frequency and loss time according to the accidents in the individual industry level. However, it is less considered to use the index of identifying the industrial concentration of accidents in the holistic view. Thus, this study aims to suggest the accident concentration level among domestic industries through index analysis. The concentration level of industrial accidents is calculated by the accident composition of sub-industries. This concentration level shows whether an industry is comprised of a few sub-industries generating more accidents or an industry consists of sub-industries having the similar number of accidents. To this end, the concentration rate (CR) and concentration index (CI) are proposed to take a look at the industry composition of accidents by embracing the concept of market concentration indexes such as Hirschman-Herfindahl Index. As for the case study, four industries of mining, manufacturing, transportation, and other business (usually service) are analyzed in terms of indexes of accident rate, death(fatality) rate, and CR and CI of accident and death. Finally, we illustrate the positioning map that the accident concentration level is compared with the traditional accident frequency level among industries.

AHP를 이용한 건축건설공사 공종별 위험도 분석 (Risk Level Analysis of Architectural Work using AHP)

  • 김정민;이종빈;장성록
    • 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.

시계열 자료 분석을 통한 4대 사회안전지표 변화 추이 (Transition of Four Major Social Safety Indexes by Time Series Data Analysis)

  • Song, Chang Geun;Jang, Hyun-ju;Lee, Kum-Jin
    • 한국재난정보학회 논문집
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    • 제11권4호
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    • pp.634-638
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    • 2015
  • 해마다 반복적으로 인적 물적 피해를 유발하여 사회 안전에 큰 영향을 미치는 산업재해, 교통사고, 화재, 범죄 등의 항목을 4대 사회안전지표로 선정하여 2003년 이후 시계열에 따른 변화 추이를 분석하였다. 2003년을 기준으로 산업재해가 27.8% 감소하여 가장 두드러지게 개선된 것으로 확인되었으며, 교통사고와 범죄자표는 12% 정도 저감된 것으로 나타났다. 그러나 화재의 경우 2006년 이후 국가화재분류체계가 바뀌면서 경미한 생활 화재도 발생건수에 포함되도록 변경되어 기준년도 대비 40% 화재안전지수가 증가한 것으로 나타났다.

Cornell Medical Index에 의(依)한 산업재해(産業災害) 요인(要因)의 분석(分析) (Analysis of Health Conditions Influencing on Industrial Accidents by Cornell Medical Index)

  • 장임원
    • Journal of Preventive Medicine and Public Health
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    • 제12권1호
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    • pp.31-37
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    • 1979
  • By evaluating the health status of 152 male workers engaged in a metal-product factory by Cornell Medical Index in conjunction with their experience of industrial accident, I attempted to find out whether any health condition may effect on the occurence of industrial accident. Differences in frequency of complaints in each section of CMI between control workers and accident workers were statistically tested by T-test. On the other hand, influence of neuropsychiatric factors (section M-R) on the occurence of accidents was analyzed by $X^2-test$ with Fukamachi's classification. The followings were the results obtained in this study. 1. The average number (26.42) of physical complaints in accident group is significantly more than in control group (18.70). 2. The average number (17.70) of mental complaints in accident group is very significantly more than in control group (11.70). 3. Differences in frequencies of complaints by sections between accident group and control group was all significant except C (cardiovascular system), H (genitourinary system), I (fatigue) & J (frequency of disease). 4. frequency rate of neurotic workers who were identified by Fukamachi's classification was significantly higher in accident group (72%) than in control group (51%).

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산업재해 발생이 산업생산성에 미치는 효과 (An Influence of Industrial Accident on Industrial Productivity in Korea)

  • 이재희;임진석;박진백
    • 한국안전학회지
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    • 제36권1호
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    • pp.50-55
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    • 2021
  • This study aims to analyze an influence of industrial accident on industrial productivity. We analyzed relationship among industrial accident, labor force, and industrial productivity using vector error correction model (VECM). The data used in the analysis were the number of industrial accidents, the number of workers, and index of all industry production from January 2008 to June 2017 in Korea. Finally, the industrial accidents have played a role in reducing labor force and industrial productivity.

근로 환경 변화를 고려한 산업재해지표 수정 방안에 관한 연구 (A Study on Modification of Industrial Accident Indicator Considering Working Environment Change)

  • 엄태수;신은택;송창근
    • 한국방재안전학회논문집
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    • 제14권4호
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    • pp.1-7
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    • 2021
  • 주5일제 실시, 인구 고령화 등으로 근로 환경이 과거에 비해 크게 바뀌었지만 빈도율, 강도율, Safe T-score와 같은 산업재해지수에는 반영되지 않고 있는 실정이다. 본 연구에서는 평균수명 증가, 근로 가능연령 상향, 근로시간 단축, 재해에 의한 사망자 평균 연령 변화 등의 시계열 동향을 파악하기 위해 통계자료를 활용하였다. 통계자료의 시계열 추이 분석 결과 인구 고령화로 인해 기대수명이 83.3세로 늘어났고, 법정 근로연령 또한 65세로 증가하였다. 그리고 2001년부터 주5일제 근로시간제가 도입되면서 연간 평균 근로시간은 2008.1시간으로 줄어들었다. 따라서 현재의 산업재해지표에서 사용되고 있는 기준과는 상당한 차이가 있었으며, 이러한 차이는 산업재해지표를 활용해 재해의 발생빈도와 산업재해로 인한 근로손실일수 등을 계산하고 그 추이를 파악하는데 큰 영향을 줄 것이라 판단된다.

시계열로 분석한 한국사회의 사회안전지표 (Safety Index of Korean Society Analyzed by Time Series)

  • 신창섭;김성민;황석근;이경덕;이재열
    • 한국안전학회지
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    • 제21권6호
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    • pp.55-63
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    • 2006
  • Rapid economic growth in Korea, on the other side, has generated increase of multiple complex dangers. To take off dangers scattered in the Korean society and to conduct safe society for better life, it is needed to develop social safety index. Social safety index analyzed by time series could compare and estimate various social disasters, thus it act as the foundation to set up safety policy. The research has focused on 8 social safety indexes; natural disaster, fire, traffic accident, crime, industry accident, forest fire, collapse and explosion, and environmental pollution. To find out Korean society safety index analyzed by time series, the research analyzed changes of each safety indexes in 10 years since 1994. Looking at the changes of each indexes, traffic accident showed the most improvement overall the nation, with industrial accident and collapse and explosion rating second and third place. However, crime, fire and natural disaster get worse, and especially crime has turned worsened than any other divisions.

산업재해 발생에 영향을 미치는 건강요인에 관한 연구 (A Study on the Physical and Mental Health Factors affecting Industrial Accidents)

  • 이명선;노재훈;문영한
    • Journal of Preventive Medicine and Public Health
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    • 제22권3호
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    • pp.355-367
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    • 1989
  • This study examined the physical and mental health factors affecting the industrial accidents of 142 injured and 1,212 uninjured workers in the shipbuilding industry from 1986 to 1988. The results acquired from the Todai Health Index (THI) and from analysis of the health examination were as follows: 1. Among the personal characteristics of the workers, the educational level of injured workers was significantly lower than that of the uninjured workers. 2. Among the physical characteristics, vision and $R\ddot{o}hrer$ Index of the injured workers were lower than those of the uninjured workers, and the difference was statistically significant. On the other hand, the differences in height, weight, hearing function, hematocrit, blood pressure, urine test, and X-ray findings were not statistically significant between the injured and uninjured workers. 3. The score of the THI questionnaire on the physical and mental health of the injured workers was higher than that of the uninjured workers, and the difference was statistically significant. 4. Form the THI score, the industrial workers had complained more about mental health than physical health and there was a statistically singinficant relation with the industrial accidents. 5. The relative risk expressed in terms of the odds ratio was 2.9 for poorer vision, 2.7 for a lower educational level, 2.2 for a higher THI score and 1.6 for overdrinking. 6 Educational level, vision, and the THI score were selected as significant factors influencing industrial accidents based on a log-linear model. According to the results of this model by logistic analysis, the odds ratio of industrial accidents was 1.8 for a lower educational level, 1.7 for poorer vision, and 1.6 for a higher THI score. 7 By event history analysis with the dependent variable as the duration of work at the time of the industrial accident, educational level, age, $R\ddot{o}hrer$ Index and THI score were the statistically significant variables selected, and the hazard rate of industrial accident occurrence was 0.24 for a lower educational level, 0.92 for age, 0.99 for a lower $R\ddot{o}hrer$ Index and 2.72 for a higher THI score. As we have seen, educational level and THI score were the most significant factors affecting the hazard rate of industrial accidents. Vision, $R\ddot{o}hrer$ Index, age, and drinking behavior were also statistically significant variables influencing industrial accidents. Therefore, in order to prevent industrial accidents, it is necessary to establish a health management plan for industry which can objectively evaluate not only the physical but also the mental health of the workers. If we use this type of study as a prospective study design, we can determine the relative risk of physical and mental health factors on industrial accidents. Furthermore, it is expected that this type of study will provide workers at high risk with more precise basic data for a health managment plan for industrial accident prevention.

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