Browse > Article
http://dx.doi.org/10.6106/KJCEM.2021.22.5.055

Predictive Analytics Model for Death Accidents in Building Projects by Trade - Based on Decision Tree-  

Choi, Jeong Won (Department of Architecture, Sejong University)
Kim, Han Soo (Department of Architecture, Sejong University)
Publication Information
Korean Journal of Construction Engineering and Management / v.22, no.5, 2021 , pp. 55-65 More about this Journal
Abstract
Compared with other industries, construction industry shows a higher rate of death accidents and recently companies' legal responsibilities are to be increasingly enforced. The trend causes tremendous concerns for construction firms and increases the importance of forecasting and pro-actively managing death accidents in construction fields. The objective of the study is to develop a predictive analytics model for forecasting death accidents in building projects based on a decision tree technique, which enables to forecast the probabilities of death accidents by trade. The use of the model helps to decrease risks of legal punishments and to assist the safe execution of building projects by forecasting and pro-actively managing death accidents.
Keywords
Predictive Analytics; Decision Tree Model; Construction Industrial Accidents; Construction Death Accidents;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Oh, J.A., and Oh, H. (2018). "The Predictors of Factors Related to Career Decision Making Amongst Adolescents who drop out of School, using Decision-Making Tree Analysis." Studies on Korean Youth, National Youth Policy Institute, 29(1), pp. 145-177.   DOI
2 Quan, Z., and Valdez, E.A. (2018). "Predictive Analytics of Insurance Claims using Multivariate Decision Trees." Dependence Modeling, De Gruyter Open Ltd. 6(1), pp. 377-407.   DOI
3 Son, Y., and Kim, H. (2012). "Forecasting Export & Import Container Cargoes using a Decision Tree Analysis." Journal of Korea Port Economic Association, Korea Port Economic Association, 28(4), pp. 193-207.
4 Song, Y.Y., Lu, Y. (2015). "Decision Tree Methods: Applications for Classification and Prediction." Shanghai Archives of Psychiatry, Editorial Board of Shanghai Archives of Psychiatry, 27(2), pp. 130-135.   DOI
5 Yang, Y.K., and Kim, B.S. (2014). "An Analysis of Influential Factors and their Prioritization in Association with the Loss from Construction Disasters with a Focus on Uninsured Categories." Journal of the Korea Safety Management & Science, Korea Safety Management & Science, 16(3), pp. 23-34.   DOI
6 Park, S.H., Kim, S.S., and Hwang H.S. (2011). Understanding and Utilization of Advanced SPSS, Hannarae.
7 Kim, H.M., Kim, T.H., Shin, Y.K., Kim, Y.S., and Han, S.W. (2011). "Regression Technique-based Productivity Estimation Conducting Construction Delay Factor Analysis on Interior Works in High-rise Building Construction." Proceedings of the Korean Institute of Building Construction Conference, Korea Institute of Building Construction, 11(1), pp. 323-324.
8 Kim, Y.C., Yoo, W.S., and Shin, Y. (2017). "Application of Artificial Neural Networks to Prediction of Construction Safety Accidents." Journal of the Korean Society of Hazard Mitigation, Korean Society of Hazard Mitigation, 17(1), pp. 7-14.   DOI
9 Kweon, Y.R., and Kim, S.Y. (2014). "Predictors of Protective Factors for Internet Game Addiction in Middle School Students using Data Mining Decision Tree Analysis." Journal of Korean Academy of Psychiatric and Mental Health Nursing, Korean Academy of Psychiatric and Mental Health Nursing, 23(1), pp. 12-20.   DOI
10 Hwang, N.H., and Kim, Y.S. (2012). "Modeling and Prediction of Construction Business using Data Mining Technique." Proceedings of the National University Student Conference, KICEM, pp. 40-43.
11 Kim, E.J. (2020). "Prediction Model for Construction Safety Accidents using Random Forest." Journal of the Regional Association of Architectural Institute of Korea, Regional Association of Architectural Institute of Korea, 22(5), pp. 295-303.
12 Lee, C.H., Hur, J., Oh, H.J., Kim, H.J., Ryu, P.M., and Kim, H.K. (2013). "Technology Trends of Issue Detection and Predictive Analysis on Social Big Data." Electronics and Telecommunications Trends, Electronics and Telecommunications Research Institute, 28(1), pp. 62-71.
13 Lee, C.S., Jung, M.N., and Kim, Y.J. (2012). "Predictors of Suicidal Ideation for Korean Middle and High School Students : The Application of Decision Tree Analysis." Studies on Korean Youth, National Youth Policy Institute, 23(1), pp. 31-55.
14 Mishra, N., and Silakari, S. (2012). "Predictive Analytics: A Survey, Trends, Applications, Opportunities & Challenges." International Journal of Computer Science and Information Technologies, AIRCC, 3(3) pp. 4434-4438.
15 Ministry of Employment and Labor (MEL) (2021). Status of Industrial Accidents at the end of December 2020.
16 Park, J.H., and Lee, H.K. (2010). "The Accuracy Analysis of Data Mining Cost Prediction Methods by Cost Factors Classification." Journal of the Regional Association of Architectural Institute of Korea, Regional Association of Architectural Institute of Korea, 12(3), pp. 301-308.
17 Sa, Y.B., Choi, S.U., Cho, W.C., and Lee, T.S. (2012). "Cost Analysis of Fall Accidents in Domestic Construction Industry." Journal of Korean Society of Societal Security, Korean Society of Disaster & Security, 5(1), pp. 1-6.
18 Koo, K.M., and Kim, C.J. (2015). "Analysis on Participation Factors for Physical Activity of People with Brain Lesion by using Decision Tree Analysis." Journal of Sport and Leisure Studies, Korean Society of Sport and Leisure Studies, 60, pp. 633-643.   DOI
19 Wang, C., Xinyi, Z., Minggang, W., Ming, K.L., and Pezhman, G. (2019). "Predictive Analytics of the Copper Spot Price by Utilizing Complex Network and Artificial Neural Network Techniques." Resources Policy, Elsevier, 63, 101414, pp. 1-17.
20 Cho, Y., Kim, Y.C., and Shin, Y. (2017). "Prediction Model of Construction Safety Accidents using Decision Tree Technique." Journal of the Korea Institute of Building Construction, Korean Institute of Building Construction, 17(3), pp. 295-303.   DOI
21 Bradlow, E.T., Gangwar, M., Kopalle, P., and Voleti, S. (2017). "The Role of Big Data and Predictive Analytics in Retailing." Journal of Retailing, Elsevier, 93(1), pp. 79-95.   DOI
22 Howell, D.C. (2010). Fundamental Statistics for Behavioral Sciences, 8th ed, Cengage Learning.
23 Bae, S.Y., and Lee, C. (2018). "A Case Study on the Major Accident in Construction Projects." Proceedings of the National University Student Conference, KICEM, 1(13), pp. 48-51.
24 Baek, S.J. (2017). "An Predictive Analytics based on GoalScenario for Self-adaptive System." Journal of the Korea Convergence Society, Korea Convergence Society, 8(11), pp. 77-83.   DOI
25 Cho, J.S. (2012). "Inflow and Outflow Analysis of Double Majors using Social Network Analysis." Journal of the Korean Data & Information Science Society, Korean Data & Information Science Society, 23(4), pp. 693-701.   DOI
26 Choi, S.I., Park, T.J., and Kang, J.G. (2011). "A Study on the Housing Types Selection Expectation in Senescence using a Decision Tree - Focus on the Baby Boom Generation in Pusan." Journal of The Residential Environment Institute of Korea, Residential Environment Institute Of Korea, 9(2), pp. 235-251.
27 Frees, E.W., and Gao, L. (2019). "Predictive Analytics and Medical Malpractice." North American Actuarial Journal 24(2), Society of Actuaries pp. 211-227.   DOI
28 Halper, F. (2014). Predictive Analytics for Business Advantage, TDWI Best Practices Report.
29 Cho, K.H., and Park, H.C. (2011). "A Study on Decision Tree Creation using Intervening Variable." Journal of Korean Data Information Science Society, Korean Data Information Science Society, 22(4), pp. 671-678.
30 Hong, A., Ko, J., Yoo, S. (2010). "A Study on the Forecasting Model of the Investment Characteristics of Seoul Office Buildings based on Data Mining." Seoul Studies, Seoul Institute, 11(2), pp. 51-68.
31 Jang, H.D. (2014). "Determinants of Intention to Moving and Remodeling in Small and Medium-Sized Apartments using Decision-tree Analysis." Journal of the Architectural Institute of Korea (JAIK), Architectural Institute Of Korea, 30(9), pp. 45-56.
32 Jeong, C, Jeong, W.Y., and Shin, D. (2015). "Selection of the Optimal Decision Tree Model using Grid Search Method : Focusing on the Analysis of the Factors Affecting Job Satisfaction of Workplace Reserve Force Commanders." Journal of the Korean Operations Research and Management Science Society, Korean Operations Research and Management Science Society (KORMS), 40(2), pp. 19-29.   DOI
33 Jeong, Y.H., and Choi, Y.W. (2014). "A Study on the Analysis of Urban Highways Traffic Accident's Impact Factors based on Building Discriminant Models-In Busan Metropolitan City." Journal of The Korean Society of Civil Engineers, Korean Society of Civil Engineers, 34(4), pp. 1269-1278.   DOI