A Pattern Analysis on the Possibility of Near Miss Connection in Construction Sites

doi:10.15683/kosdi.2023.3.31.216

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2023 Vol.19, Issue 1 Preview Page Next Page

Original Article

A Pattern Analysis on the Possibility of Near Miss Connection in Construction Sites 건설현장의 아차사고 연결가능성에 대한 패턴분석: 김상현¹ㆍ신연철²ㆍ문유미³*
Sang Hyun Kim¹, Yeon Cheol Shin², Yu Mi Moon³*; ¹Ph.D. Candidate, Department of Construction Safety Engineering, Kyonggi University, Suwon, Republic of Korea
²Ph.D. Candidate, Department of Construction Safety Engineering, Kyonggi University, Suwon, Republic of Korea
³Visiting Professor, General Graduate School, Kyonggi University, Suwon, Republic of Korea

31 March 2023. pp. 216-230

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Abstract

Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

Keywords

Nera-miss

Logistic Regression

Decision Tree

Habitual Behavior

Classification Analysis

연구목적: 아차사고의 분석을 통하여 재해를 예측하여 사고를 예방하는 목적이 있다. 연구방법: 본 연구에서는 건설 현장의 아차사고 문헌조사 및 데이터를 수집하고, 설문조사를 실시하여 아차사고 연결 가능성 분류를 위해 로지스틱 회귀분석 및 의사결정나무 분석을 이용하였다. 연구결과: 아차사고 types이 정신적, 신체적, 안전습관 행동에 미치는 영향을 분석한 결과, 신체에 영향력이 높은 요인은 아차사고 관리의 필요성, 직종은 전기·정보통신, 건강 상태 순으로, 정신적 요인에서 공사 규모가 영향력이 높았으며, 경험 공종, 중상자 수, 직종 순으로 습관 행동 요인에 영향력이 높은 요인은 착각, 부적절한 작업지시, 신체 부위 순으로 분석되었다. 의사결정나무 분석을 통해 아차사고가 놀랄 정도의 사고로 연결가능성에 영향을 미치는 요인과 패턴을 확인하였다. 결론: 건설현장관계자는 아차사고 관찰을 고려하여 정신적. 신체적 측면의 아차사고와의 연관성에 대한 구체적 관리가 실행되어야 하며, 부적절한 작업지시가 아차사고로 연결되지 않도록 인원 배치, 작업계획, 작업절차 및 방법, 피드백을 통해 중대재해가 저감하는 작업환경을 기대한다.

키워드

아차사고

로지스틱 회귀분석

의사결정나무

습관행동

분류분석

References

Berry, M.J., Linoff, G.S. (2011). Data Mining Techniques: for Marketing, Sales, and Customer Relationship ManaGement. Wiley, Canada.
Choi, Y.G., Cho, K.T. (2020). "A cause analysis of the construction incident using causal loop diagram: Safety culture perspective." Journal of the Korean Society of Safety, Vol. 35, No. 2, pp. 34-46.
Duen, Y., Ching, H.C. (2011). "A predictive model for cerebrovascular disease using data mining" Vol. 38, No. 7, pp. 8970-8977. 10.1016/j.eswa.2011.01.114
e-Country Indicators, https://www.index.go.kr
Ki, S.-H., Park, N.-K. (2014). "Research on the establishment of contractor centered safety management system to reduce construction disaster." Proceedings of the Korea Disaster Information Society Vol. 10, No. 4, pp. 503-510. 10.15683/kosdi.2014.10.4.503
Kim, S.-G., Jung, D.-B., Park, Y.-S. (2002). Understanding and Application of Logistic Regression Model Using Spss. Hanarae Publishing Company.
Kim, D.-Y., Park, J.-H. (2022). "Safety culture between prime contractor and subcontractor workers based on accidents and near miss experiences perception comparison." Journal of the Korean Society of Safety, Vol. 37, No. 2, pp. 28-34.
Lee, B.-L., Kim, S.-D., Choi, J.-W. (2022). "A study on the link between the serious accidents punishment act and the enterprise disaster management standard: Focused on the serious industrial accidents." Proceedings of the Korea Disaster Information Society, Vol. 18, No. 3, pp. 660-671.
Lee, G.-J. (2009). "Analysis of the cause of disasters at small and medium-sized construction sites and institutional improvement measures." Journal of the Korean Society of Architectural Engineering, Vol. 9, No. 3, pp. 59-64. 10.5345/JKIC.2009.9.3.059
Lim, T.-K., Lee, S.-S., Lee, D.-E. (2014). "Methodology for measurement and evaluation of near-miss of construction workers." Architectural Institute of Korea, Vol. 30, No. 1, pp. 71-79.
Min, K.N. (2016). Comparison of the Types of Subsequent Near-miss among Middle, Low, High, And High-Rise Construction Workers. Master Thesis, Korea University Graduate School of Health, Environmental Health Science.
Ministry of Employment and Labor (2022). Additional Statistics on Industrial Accidents in 2022 Announcement of results of Current Status of Fatal Accidents Subject to Disaster Investigation.
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Information

Publisher :The Korean Society of Disaster Information
Publisher(Ko) :한국재난정보학회
Journal Title :Journal of the Society of Disaster Information
Journal Title(Ko) :한국재난정보학회논문집
Volume : 19
No :1
Pages :216-230
DOI :https://doi.org/10.15683/kosdi.2023.3.31.216

[1] Berry, M.J., Linoff, G.S. (2011). Data Mining Techniques: for Marketing, Sales, and Customer Relationship ManaGement. Wiley, Canada.

[2] Choi, Y.G., Cho, K.T. (2020). "A cause analysis of the construction incident using causal loop diagram: Safety culture perspective." Journal of the Korean Society of Safety, Vol. 35, No. 2, pp. 34-46.

[3] Duen, Y., Ching, H.C. (2011). "A predictive model for cerebrovascular disease using data mining" Vol. 38, No. 7, pp. 8970-8977. 10.1016/j.eswa.2011.01.114

[4] e-Country Indicators, https://www.index.go.kr

[5] Ki, S.-H., Park, N.-K. (2014). "Research on the establishment of contractor centered safety management system to reduce construction disaster." Proceedings of the Korea Disaster Information Society Vol. 10, No. 4, pp. 503-510. 10.15683/kosdi.2014.10.4.503

[6] Kim, S.-G., Jung, D.-B., Park, Y.-S. (2002). Understanding and Application of Logistic Regression Model Using Spss. Hanarae Publishing Company.

[7] Kim, D.-Y., Park, J.-H. (2022). "Safety culture between prime contractor and subcontractor workers based on accidents and near miss experiences perception comparison." Journal of the Korean Society of Safety, Vol. 37, No. 2, pp. 28-34.

[8] Lee, B.-L., Kim, S.-D., Choi, J.-W. (2022). "A study on the link between the serious accidents punishment act and the enterprise disaster management standard: Focused on the serious industrial accidents." Proceedings of the Korea Disaster Information Society, Vol. 18, No. 3, pp. 660-671.

[9] Lee, G.-J. (2009). "Analysis of the cause of disasters at small and medium-sized construction sites and institutional improvement measures." Journal of the Korean Society of Architectural Engineering, Vol. 9, No. 3, pp. 59-64. 10.5345/JKIC.2009.9.3.059

[10] Lim, T.-K., Lee, S.-S., Lee, D.-E. (2014). "Methodology for measurement and evaluation of near-miss of construction workers." Architectural Institute of Korea, Vol. 30, No. 1, pp. 71-79.

[11] Min, K.N. (2016). Comparison of the Types of Subsequent Near-miss among Middle, Low, High, And High-Rise Construction Workers. Master Thesis, Korea University Graduate School of Health, Environmental Health Science.

[12] Ministry of Employment and Labor (2022). Additional Statistics on Industrial Accidents in 2022 Announcement of results of Current Status of Fatal Accidents Subject to Disaster Investigation.

[13] Ministry of Employment and Labor (2022). Day of On-site Inspection for 3 Major Safety Measures.

[14] Park, S.H. (2018). An Analysis of Factors Influencing the Safety Consciousness of Foreign Workers at Construction Sites. Master Thesis, Eulji University.

[15] Yun, H.-J., Lee, H.-Y., Kwon, H.-M., Kang, S.-J., M.-Il. (2000). "Development of a near miss management system to prevent industrial accident." Chemical Engineering, Vol. 38, No. 2, pp. 166-172.

Journal of the Society of Disaster Information ISSN:1976-2208(Print) 2671-5287(Online) 한국재난정보학회논문집

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