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http://dx.doi.org/10.6106/KJCEM.2019.20.3.113

Characteristics Analysis of Seasonal Construction Site Fall Accident using Text Mining  

Kim, Joon-Soo (Department of Civil Engineering, Kyungpook National University)
Kim, Byung-Soo (Department of Civil Engineering, Kyungpook National University)
Publication Information
Korean Journal of Construction Engineering and Management / v.20, no.3, 2019 , pp. 113-121 More about this Journal
Abstract
The death rate of industrial accidents per 10,000 people in Korea is two to three times higher than that of major countries. Falling accidents at the construction site happened to have caused the most deaths. Analysis of existing research and measures by national institutions showed that the industrial accident management concentrated on falling accidents was insufficient and the seasonal safety management measures were not enough. There is thus the need for research that provides detailed and enough information on falling accidents. This study, therefore, aims to overcome the limitations of existing research and safety management accident response using a methodology that provides the necessary information for the prevention of fall accidents by deriving seasonal crash characteristics of the construction site. In order to provide enough information, 387 cases of seasonal construction site falling were collected, which describes the causal relationship of accidents. Text mining using principal component analysis and cluster analysis was carried out. The analysis showed that: In the spring, snowfall and unreasonable operation of equipment including lifts were the major cause. In summer, most accidents were caused by form, insufficient safety inspection, and installation work. In autumn, weather factors such as wind and typhoon were the cause. In winter, material transportation, exterior wall work, and ignore safety precautions were the cause of the crash.
Keywords
Industrial Accidents per 100,000 People; Cluster Analysis; Principal Component Analysis; Falling Accidents; Text Mining;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Kwon, B.S. (2010). "A Study on the Improvement of Current Construction Safety Management System." Master Thesis, Incheon University, Korea.
2 Beak. Y.M. (2017). "Text Minning Using R." Hanul Academy.
3 Charles J. Kiber, and Richard J. Coble (1995). "Integrating Safety and Environmental Regulation of Construction Industry." Journal of Construction Engineering and Management, 121(1), pp. 95-99.   DOI
4 Enno Koekn, Rupesh K. Jothari, and Ching-Shing Pan (1995). "Safety in Developing Countries: Professional and Bureaucratic Problems." Journal of Construction Engineering and Management, 121(3), pp.261-265   DOI
5 Fabrizio Sebstiai (2002). "Machine Learning in Automated Text Categorization." ACM Computing Surverys, 34(1), pp. 1-47.   DOI
6 Heinrish, H.W. (1980). "Industrial Accident Prevention." McGraw-Hill.
7 Herry F. Kaiser (1976). "An index of Factorial Simplicity." Journal of Psychometrika, 39(1), pp. 31-36.   DOI
8 Hinze, J., Fredley, and J., Pedersen, C. (2000). "Identifying Root Causes of Construction Injuries." USA Journal of Construction Engineering and Management, ASCE, 126(1), pp. 52-56.   DOI
9 Hinze, Jimmie, and Gambatese, John. (1996). Addressing Construction Worker Safety in Project Design, Research Report Team of Washington; Texas at Austin University, 1996-06.
10 Jimmie Hinze (2003). "Fator That Influence Safety performance of Specialty Contractors." USA Journal of Construction Engineering and Management, ACSE, 129(2), pp. 159-167.   DOI
11 Kim, C.H. (2015). "A study on analysing basic safety-health training and improving effectiveness of safety training in small and medium-sized construction site." Master Thesis, Kyunghee University, Korea.
12 Koller D., and Sahami M. (1997). "Hierarchically classifying documments using very few words." Proceeding of 1997 the Fourteenth International Conference on Machine Learing.
13 Korea Occupational Safety & Health Agency (2018). "Press Release." 2018.02.
14 Ministry of Employment and Labor (2017). "Press Release." 2017.07.
15 Lee, Y.S., Kim, D.Y., and Oh, H.U. (2013). "Assessment of $CO_2$ Emissions of Vehicles in Highway Sections Using Principal Component Analysis." Korean journal of the korean society of civil engineers, KSCE, 33(5), pp. 1981-1987.   DOI
16 Lee, Y.S., Kim, J.S., Choi, S.C., and Kim, C.E. (2011). "A study on the plan of improvement to reduce the occurrence of accidents of small construction site." Korean Journal of Korea Management Engineering Society, KMES, 16(3), pp. 99-113.
17 Michael Crawley (2014). "The R Book." Acorn publisher.
18 Ministry of Employment and Labor (2018). "Press Release." 2018.01.
19 Oh, G.S. (2010). "Analysis of Relationship between Fatal Accidents Causes and Consciousness of Scapegoatism in Construction Site." Proceeding of 2010 KIBC Conference, Korea.
20 Park, H.G. (2018). "An Empirical Study on the Efficient Operation of the Safety Monitoring Team in Construction Site." Doctor Thesis, Myungji university, Korea.
21 Quan, C.H., Lee, Y.T., Kim, Y.J., and Lee, Y.D. (2003). "Design and Implementation of a High Performance Wev Crawler." Journal of Korea Society of Industrial Information System, KSIE, 13(4), pp. 64-72.
22 Seo, D.M., and Jung, H.M. (2013). "Intelligent Web Crawler for Supporting Big Data Analysis Services." Journal of The Korea Contents Association, JKCA, 13(12), pp. 575-584.   DOI
23 Seo, J. (2015). Data R Love: Analysis of Data for Introductory Using R, Ar-Eum.
24 Shin, J.Y. (2015). "Analysis and Prevention Measures for Construction Accidents." SSANGYONG ENGINEERING & CONSTRUCTION Technology Research Institute, 71, pp. 10-16.
25 Park, D.M., and Oh, S.W. (2016). "Big Data Analytics of Broadcasting News." Broadcast Research Institute, 28(1), pp. 7-51.
26 The Office for Government Policy Coordination (2018). "Countermeasures to Reduce Industrial Accident Deaths." 2018.01.
27 Yun, J.M. (2015). "Improvement Measures of Safety & Health Education for Construction Disaster Reduction." Master Thesis, Hanbat National University, Korea.