Earticle

초록

영어

The construction industry has seen a continuous increase in the number of victims over the last five years, despite various efforts and investments in disaster prevention. This means that we need substantial and fundamental preventive measures that are different from the ones we have now. Therefore, this study proposed a prediction model that can predict construction disasters in advance using a highly predictable random forest method. The random forest technique was used to analyze the impact factors of the construction disaster, and the model was constructed by selecting the factors of high importance from the variables. As a result of comparing the accuracy of the random forest model and the discrimination analysis model in order to verify the constructed construction disaster prediction model, it is found that the random forest model is more accurate than the discrimination analysis model. Accordingly, it is expected that disaster types that can occur by the prediction model can be accurately predicted in advance and preferentially managed to contribute to disaster prevention.

목차

Abstract
1. 서론
1.1 연구배경 및 목적
1.2 연구의 방법 및 내용
2. 예비적 고찰
2.1 국내 건설재해 현황
2.2 선행연구 고찰
2.3 랜덤 포레스트(Random Forest, RF) 기법
3. 건설재해 영향요인 분석
3.1 데이터 수집 및 분석
3.2 건설재해 영향요인 도출
4. 건설재해 예측모델 개발
4.1 예측모델 개발
4.2 예측모델 검증
5. 결론
REFERENCES

저자

• 김은정 [ Kim, Eun-Jeung | 조선이공대학교 건축학과 부교수, 공학박사 ] Corresponding Author

참고문헌