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논문검색

다중 명목 로지스틱 회귀분석을 이용한 중·고령 건설근로자의 개인별 안전교육 예측모델 개발

원문정보

The Development of Personal Safety Education Prediction Model for Middle and Old Aged Construction Workers Using Multiple Name Logistic Regression Analysis

김은정

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

An observation of the mortality rate in the construction industry by age for the past five years shows that the mortality rate of those 50 years of age and older is consistently increasing. As the number of middle and old aged workers is continuously increasing, their hazard rate is also increasing so hazard prevention efforts for them are being urgently demanded. In particular, with regard to middle and old aged workers, there are many experienced in construction so wrong work methods or habits adopted in the past can cause hazards so safety education that can allow middle and old aged workers to adopt proper work methods or habits is urgently needed. At this, this study proposes a safety education model for middle and old aged workers that takes into consideration the characteristics of middle and old aged workers. The accuracy of the developed model was evaluated and its applicability was reviewed based on data. Verification of this proposed model was made by conducting a likelihood ratio test and correction rate test and likelihood ratio test results showed that all safety education elements were significant at a significance level of 0.1% and they also had a goodness of fit of 83%, so their potential for applicability in actual construction sites was verified. The accuracy of this model will increase as more data accumulates in the future.

목차

Abstract
1. 서론
1.1 연구배경 및 목적
1.2 연구의 방법 및 내용
2. 예비적 고찰
2.1 중·고령근로자의 정의
2.2 다중 명목 로지스틱 회귀분석 개요
2.3 선행연구 분석
3. 변수선정
3.1 중․고령 건설근로자의 일반적 특성 요소 도출
3.2 건설 안전교육 요소 도출
4. 데이터 수집 및 분석
4.1 설문조사
4.2 분석결과
5. 모델 개발
6. 모델 검증
7. 결론
REFERENCES

저자정보

  • 김은정 Kim, Eun-Jeung. 조선이공대학교 건축학과 조교수, 공학박사

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자료제공 : 네이버학술정보

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