지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
Objective: The purpose of this study is to present basic data and guideline for prevention of disasters by analyzing the influential factors related to the causes of the disaster by industrial accidents.
Background: Although there are many studies on the analysis of industrial accident factors, most studies controlled the descriptive statistical data such as the ratio and the number of cases, and there are not many studies on the exact cause analysis based on the inferential statistical analysis. Similarly, there are some studies such as traffic accident data analysis and accident analysis of the workers in the manufacturing industry. However, the cause analysis through the inferential analysis is rare. Therefore, in this study, the analysis is carried out to extract and analyze various factors for not specific industries but general and wide scope ones.
Method: This study analyzed the most recent data of the Industrial Accident Cause Investigation Report issued by the Korea Occupational Safety and Health Agency (KOSHA). First, the cross-analysis between factors was executed by the descriptive data such as the status of each industry type by cause factors, industry type by accident pattern, cause factors by tasks, etc. Next, based on the result of the cross-analysis, we analyzed the significance on each factor and the relation between the factors.
Results: The significant differences were showed among the factors, the industry type, business size, accident pattern, cause factors, task and part of body. Based on this, detailed suggestion points were derived from analysis of each factors.
Conclusion: We analyzed the implications of various factors affecting the numbers and interpreted its meaning. In particular, we performed the process of selecting and analyzing relevant factors that could affect the entire industry, without limiting the scope to specific industries. Through this, we could derive much meaning on various disaster factors.
Application: The results of this study can be used as basic data for suggesting ergonomics guidelines from various perspectives such as industry, disaster type, and cause of occurrence as well as facility investment and policy to reduce ergonomic industrial accidents.
Background: Although there are many studies on the analysis of industrial accident factors, most studies controlled the descriptive statistical data such as the ratio and the number of cases, and there are not many studies on the exact cause analysis based on the inferential statistical analysis. Similarly, there are some studies such as traffic accident data analysis and accident analysis of the workers in the manufacturing industry. However, the cause analysis through the inferential analysis is rare. Therefore, in this study, the analysis is carried out to extract and analyze various factors for not specific industries but general and wide scope ones.
Method: This study analyzed the most recent data of the Industrial Accident Cause Investigation Report issued by the Korea Occupational Safety and Health Agency (KOSHA). First, the cross-analysis between factors was executed by the descriptive data such as the status of each industry type by cause factors, industry type by accident pattern, cause factors by tasks, etc. Next, based on the result of the cross-analysis, we analyzed the significance on each factor and the relation between the factors.
Results: The significant differences were showed among the factors, the industry type, business size, accident pattern, cause factors, task and part of body. Based on this, detailed suggestion points were derived from analysis of each factors.
Conclusion: We analyzed the implications of various factors affecting the numbers and interpreted its meaning. In particular, we performed the process of selecting and analyzing relevant factors that could affect the entire industry, without limiting the scope to specific industries. Through this, we could derive much meaning on various disaster factors.
Application: The results of this study can be used as basic data for suggesting ergonomics guidelines from various perspectives such as industry, disaster type, and cause of occurrence as well as facility investment and policy to reduce ergonomic industrial accidents.
목차
1. Introduction
2. Methods
3. Results
4. Discussion & Conclusion
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
산업재해조사 기반 업무상 재해 영향 요인 분석 - 2017년 재해 중심
대한인간공학회지
2019 .10
-
2020년 산업재해로 발생한 재해자의 특성요인 분석을 통한 산업재해저감방안 도출
대한인간공학회지
2022 .10
-
산업 및 사고 유형별 산업재해 사망자의 10년간 추세 분석을 통한 재해 발생 특성 고찰
대한인간공학회지
2025 .02
-
Characteristics of Occupational Injuries in the Automobile Parts Manufacturing Industry
대한인간공학회지
2017 .06
-
국내 화학업종 외국인근로자의 재해특성 분석
대한인간공학회지
2018 .04
-
초, 중, 고등학교 근로자의 산업재해 특성
대한인간공학회지
2018 .06
-
Occupational Accidents and Injuries for Moving Helpers
대한인간공학회지
2015 .08
-
한국과 일본의 화학사고 데이터 비교분석
한국위험물학회지
2024 .01
-
건설 재해사례 보고서의 텍스트 마이닝을 통한 복합사고 패턴 분석
대한건축학회논문집
2022 .04
-
석탄화력발전소에서 산업재해 통계분석을 통한 안전관리 개선방안 연구
대한설비관리학회지
2020 .01
-
The Gender Difference in the Occupational Hazards and Injuries of Cleaning Workers and Janitors
대한인간공학회지
2017 .10
-
Needs for Changing Accident Investigation from Blaming to Systems Approach
대한인간공학회지
2016 .06
-
사고 보고 활성화를 위한 사고 미보고 원인 분석
대한인간공학회지
2019 .12
-
에이다 부스트를 활용한 건설현장 추락재해의 강도 예측과 영향요인 분석
대한건축학회 논문집 - 구조계
2019 .11
-
A Comparative Analysis of Occupational Accidents between Indoor and Outdoor Workers in Telecommunications Industry
대한인간공학회지
2015 .10
-
한국 화학분야 중대산업사고데이터와 프랑스 ARIA 화학사고 데이터의 비교 분석
한국위험물학회지
2023 .07
-
Computer Vision-based System Design for Classifying Workplace Dangerous Situation
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2022 .01
-
농작업 재해 분석 및 사고방지 대책에 대한 연구
한국위험물학회지
2024 .01
-
텍스트 마이닝을 활용한 건설 현장 복합사고 발생 양상 분석
대한건축학회 학술발표대회 논문집
2021 .10
-
4차 산업혁명 시대, 공공데이터 개방·활용 정책 중장기로드맵에 관한 연구
한국통신학회 학술대회논문집
2017 .11
이 논문의 저자 정보
이 논문과 함께 이용한 논문
산업재해 사고 요인에 대한 분류 및 유의성 분석
이재인
,
김성희
대한인간공학회 학술대회논문집
2017
.11
안전사고 분류체계에 관한 연구
권영국
,
박계형
,
김찬오
대한인간공학회 학술대회논문집
2010
.05
건설현장 작업자 오류 예방을 위한 안전관리 시스템 구축을 위한 인지심리학적 접근방법(SMaSHE: 스매쉬)
김정룡
,
윤상영
,
유석원
외 4명
대한인간공학회 학술대회논문집
2008
.05
산업재해 근로자의 생활만족도에 미치는 영향 요인에 관한 연구
안성아
,
염동문
재활복지공학회논문지
2016
.05
외주화에 따른 고용관계의 문제 : 서울고등법원 2012. 1. 19. 선고 2011누25120 판결, 서울고등법원 2012. 5. 4. 선고 2011누35622 판결
심재진
노동법학
2012
.09
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2018-530-001832391