• Title/Summary/Keyword: non-fatal accident

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Analysis of Characteristic Factors for Non-fatal Accidents in Construction Projects using Association Rule Mining (연관 규칙 탐색 기법을 이용한 건설공사 비사망 재해의 특성 요인 분석)

  • Gayeon, Lee;Sung Woo, Shin
    • Journal of the Korean Society of Safety
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    • v.37 no.6
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    • pp.40-49
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    • 2022
  • Simple statistical frequency based analysis, such as Pareto analysis, are widely used in conventional accident analysis. However, due to the dynamic and complex nature of construction works, many factors can simultaneously affect or involve the occurrence of accidents in construction projects. Therefore, the identification of the complex relationship between such factors is important to establish relevant and effective safety management policies and/or programs. In this study, characteristic factors and their relationships' contribution to non-fatal accidents in construction projects are analyzed using the association rule mining (ARM) technique. To this end, a total of 59,202 construction accident data are collected from 2015 to 2019 and the ARM is performed to retrieve specific relationships -named as association rules-among classified factors in the data. Characteristics of the retrieved relationships are analyzed and compared with the results of conventional Pareto analysis. Based on the results, it is found that both fall and trip are notable accident forms having characteristic relations with other factors for non-fatal accidents in construction projects. It is also found that small-scale construction, age of 50s, less than 1 month of working period, and architectural construction are important factors for non-fatal accidents in construction projects.

Risk Level Analysis of Architectural Work using AHP (AHP를 이용한 건축건설공사 공종별 위험도 분석)

  • Kim, Jeongmin;Lee, Jong-Bin;Chang, Seong Rok
    • Journal of the Korean Society of Safety
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    • v.32 no.5
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    • pp.96-102
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    • 2017
  • The highest fatal accident ratio was recorded in the construction industry. According to the industrial insurance premium rate & business type example, among the construction industry, the architectural work has the highest fatal and loss time accident ratio. Previous literature has investigated various aspects of accident occurrence and prevention in architectural work. However, those studied were limited in that they only focused on the fatal accident without considering the loss time accident. But non fatal accidents were recorded more than 50 times of fatal accidents. Therefore non fatal accidents must be controlled to lessen industrial accidents. Based on this, the goal of this study was to investigate the nature of the loss time accident and derive the risk index of work type in architectural work. In this study, opinions of safety experts were gathered and the risk index of work type was derived using AHP(Analytic Hierarchy Process). And verification was accomplished by comparing the results of this study with the risk index derived by analysis of accident records. Results showed that the risk index of work type was significantly higher in steel frame work, temporary installation work, earth & foundation work, facilities work, concrete work. And statistical analysis for verification showed that coefficient of Pearson correlation was 0.686 and P-value was 0.001.

Occupational Injury Statistics in Korea

  • Kang, Seong-Kyu;Kwon, Oh-Jun
    • Safety and Health at Work
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    • v.2 no.1
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    • pp.52-56
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    • 2011
  • Objectives: The occupational accident rate was officially reported to be 0.77 per 100 workers in 2001 and 0.70 in 2009. The stagnant decrease in accident rate raises a question about the effectiveness of prevention activity because there have been active prevention efforts in the past 10 years. It is also necessary to know the exact status of occupational injuries to direct a prevention strategy. Methods: The author re-analyzed occupational injury statistics to find the reason for stagnant decreases in occupational injuries. Compensated occupational injuries cases were used to calculate fatal and non-fatal injury rates. Injuries from commuting accidents and sports activities were excluded as well as occupational diseases. The number of workers was adjusted to that of full time equivalent employees. Results: The fatal injury rate excluding injuries associated with commuting accidents, sports activities, and occupational diseases decreased from 12.59 in 2001 to 8.20 in 2009. In 2007, 67.5% of accidents that involved being caught in objects, which are mostly caused by machines and equipment, occurred in the manufacturing industry; this type of incident has decreased since 2001. The fatal and non-fatal injury rates in the manufacturing industry have continuously decreased while the rates in the service industry have not changed from 2001 to 2009. Non-fatal injuries might not be reported in many cases. The number of insured workers was underestimated as long working hours were not adjusted for in the reporting system. Conclusion: The occupational fatal injury rate has decreased and the non-fatal injury rate might have decreased during the last 10 years, although the statistics show stagnancy. The decrease of the injury rate was countervailed by various factors. Hence, the current accident rate does not reflect the actual situation of accidents in Korea. Korea needs to develop an improved system to more accurately calculate occupational fatal and non-fatal injury rates.

Machine Learning Approach to Classifying Fatal and Non-Fatal Accidents in Industries (사망사고와 부상사고의 산업재해분류를 위한 기계학습 접근법)

  • Kang, Sungsik;Chang, Seong Rok;Suh, Yongyoon
    • Journal of the Korean Society of Safety
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    • v.36 no.5
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    • pp.52-60
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    • 2021
  • As the prevention of fatal accidents is considered an essential part of social responsibilities, both government and individual have devoted efforts to mitigate the unsafe conditions and behaviors that facilitate accidents. Several studies have analyzed the factors that cause fatal accidents and compared them to those of non-fatal accidents. However, studies on mathematical and systematic analysis techniques for identifying the features of fatal accidents are rare. Recently, various industrial fields have employed machine learning algorithms. This study aimed to apply machine learning algorithms for the classification of fatal and non-fatal accidents based on the features of each accident. These features were obtained by text mining literature on accidents. The classification was performed using four machine learning algorithms, which are widely used in industrial fields, including logistic regression, decision tree, neural network, and support vector machine algorithms. The results revealed that the machine learning algorithms exhibited a high accuracy for the classification of accidents into the two categories. In addition, the importance of comparing similar cases between fatal and non-fatal accidents was discussed. This study presented a method for classifying accidents using machine learning algorithms based on the reports on previous studies on accidents.

A study on characteristics of accidents involving horse scaffolds at construction sites (말비계 건설재해 특성 분석에 관한 연구)

  • Jeong, Seong-Chun
    • Journal of the Korea Safety Management & Science
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    • v.18 no.1
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    • pp.17-24
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    • 2016
  • Many fatal and non-fatal injuries occurred as a result of unexpected falls from horse scaffolds during structural or finishing works such as painting, plastering, or plumbing. Therefore, this study is to improve safety standards for horse scaffolds used mostly in the interior finishing works. But hazard elements for the horse scaffolds has not been specifically identified. This study has analyzed the accidents of horse scaffolds to prevent construction accidents and the characteristics of a serious accidents related the horse scaffolds. It was suggested a safety management plan and a group of accidents characteristics. The results of this study are expected to be utilized as basic data for prviding a reference related to the horse scaffolds and to be unified the regulations associated with the horse scaffolds.

Importance Analysis of Major Factors in Formwork Collapse Accident (거푸집 붕괴사고 주요 요인별 중요도 분석)

  • Park, Ji-Yeong;Kim, Gwang-Hee
    • Journal of the Korea Institute of Building Construction
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    • v.21 no.3
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    • pp.249-256
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    • 2021
  • Fatal accidents in the construction industry account for a higher proportion than other industries, and in particular, the collapse accident of formwork is likely to lead to a serious accident like death. This study aim to derive the importance ranking of formwork collapse factors using AHP technique for preventing fatal accident. The AHP survey was conducted on field construction engineers, construction project managers, safety managers, and formwork specialist foreman with 10 years on site experience. The results of AHP analysis is that the most importance factor of formwork collapse accident is 'non-compliance with the formwork shoring assembly drawing'. Next it is important in the order of 'poor installation of formwork shoring and accessories', 'formwork shoring is not installed vertically', 'non-compliance with the concrete curing period of the formwork shoring', 'safety supervisor not designated and negligent'. It is necessary to preferentially and intensively manage the high importance factors presented as a result of this research for reducing formwork collapse accident. In addition, it will contribute to reducing construction safety accidents if the factors of the formwork collapse accident suggested in this research are included in the formwork inspection check list and checked step by step in formwork construction.

Comparative analysis of Traffic Accidents Characteristics using Various Types of Industrial Complexes (산업단지 유형에 따른 교통사고 특성 비교 분석)

  • Lee, Yuhwa;Jung, Byoung-Cheol
    • International Journal of Highway Engineering
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    • v.19 no.6
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    • pp.201-212
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    • 2017
  • PURPOSES : The objective of this study is to identify the characteristics affecting traffic accidents that have occurred in 564 industrial complexes nationwide from 2011 to 2015. METHODS : The traffic accidents were specified using various factors such as industrial complex type (national VS. general), industrial complex degradation (old VS. non-old), location of complex (capital VS. non-capital), and traffic law violation (speeding, signal violation, and median invasion). The average number of crashes and accident ratio (fatal, severe, and both) in terms of characteristics of industrial complexes were calculated. With a sample of crashes of the industrial complexes for 5 years, statistical significances were tested to analyze and compare the differences based on industrial complex and traffic law characteristics using parametric and non-parametric methods. RESULTS : From statistical results, it is observed that the crash frequency occurring in old industrial complexes is three times higher than that in non-old industrial complexes. Old industrial complexes located in a capital area, old national industrial complexes, and old general industrial complexes are considerably related to higher crash frequency, but the fatal accident ratio appeared to have no statistical difference across industrial complex characteristics. Severe crashes are more likely to occur in non-old industrial complexes on an average. CONCLUSIONS : It is necessary to eliminate potential threats to roads and traffic in the same manner as illegal parking in industrial complexes through the restoration of old industrial complexes. To improve the efficiency of road infrastructure, efforts should be made to improve traffic safety in accordance with industrial characteristics such as planning and operation of relevant local government programs.

Revision of Safety Standards through Analysis of Fatal Accidents Related to Mobile Scaffold in Construction Sites (건설현장 이동식 비계의 사망사고 분석을 통한 안전기준 개선 방안)

  • Ju Dong Park
    • Journal of the Korean Society of Safety
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    • v.38 no.1
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    • pp.42-54
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    • 2023
  • Mobile scaffold is used as a work platform in construction sites. According to industrial accident data, 10 fatalities occur annually on average due to falling from mobile scaffold in construction sites. To prevent such fatal accidents, safety standards must be improved by analyzing the causes of fatal accidents related to mobile scaffold. Accordingly, we analyzed domestic and international safety standards for mobile scaffold and analyzed the fatalities (117 persons) caused by mobile scaffold accidents in domestic construction sites during 2011-2020 and found that fall, overturn, and collapse accounted for 88% (103 persons), 10.3% (12 persons), and 1.7% (2 persons) of fatalities, respectively. The main causes of fatal accidents were found to be non-installation or insufficient installation of safety rails and outriggers and incorrect sequence of work. Based on the analysis results, we proposed strategies for improving the safety standards, such as the use of advanced guard rails and wheel-attached outriggers, to enhance the safety and field applicability of the mobile scaffold. Technology development and improvements in the safety standards for the use of mobile scaffold will aid in the prevention of fatal accidents caused by mobile scaffold.

A case study on the Occurrence Category of aircraft accidents and serious incidents in Korea in the 2000's (2000년대 국내 항공기 사고·준사고 발생유형 사례연구)

  • Choi, Young-Jae;Ahn, Jae-Hyung;You, Kyung-In;Park, Jung-Gown
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.21 no.4
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    • pp.119-125
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    • 2013
  • Since year 2001 to the present time, the aircraft accidents and serious incidents in our country have surpassed 150 occurrences. The Boeing has published the statistical summary of commercial jet airplane accidents annually for the past 10 years on the basis of the occurrence categories defined by the CICTT(CAST/ICAO Common Taxonomy Team), and the number of occurrences is in order of loss of control(LOC-I), controlled flight into terrain(CFIT) and runway excursion (RE). Like the NTSB and the EASA, when fatal and non-fatal accidents are aggregated, though fatality rate is low, abnormal runway contact(ARC), system/component failure(SCF-PP/NP), ground handling(RAMP) rank high in the CICTT occurrence categories. With the less occurrence frequency, it is difficult to statistically analyze the aircraft accidents in our country, thus customarily the accidents and the serious incidents on aggregate are consolidated, and the statistical analysis is performed. This study categorizes the accidents and serious incidents to the domestic transportation aircraft in the past 10 years according to the CICTT occurrence categories, that is compared with foreign practices, and the implications have been discussed. From years 2001 through 2010, the accidents to the domestic transportation aircraft occurred in order of system failure(SCF-NP), ARC and power plant failure(SCF-PP), and when the accidents and the serious incidents are consolidated and analyzed, it is verified that a distribution appears similar to the European accident occurrence categories defined from 300 accident occurrence data.

Bed Side Monitoring System using Occupancy Sensor and Doppler Radar (Occupancy 센서와 도플러 Radar를 이용한 침상 모니터링 시스템)

  • Kang, Byung Wuk;Yoo, Sun Kook
    • Journal of Korea Multimedia Society
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    • v.21 no.3
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    • pp.382-390
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    • 2018
  • A major accident occurring on the bed is falls that occur during at times when the care of nurses or protectors is inadequate, which is fatal to patients or the elderly. In particular, Enuresis or sleepiness caused by sleep apnea increases the risk of falls. Therefore, it is very important to detect falls and sleep apnea of patients without infringing privacy in the bed to patient's safety and accident prevention. In this paper, we reviewed the technologies developed for bed monitoring and implemented a non-intrusive monitoring system. The Occupancy Sensor allows the temperature of the bed and surrounding area to be extracted to enable track of the patient's motion. The Doppler Radar detects the patient's movements at normal times and the respiration state when patients have no movement during sleeping. It is specially designed for real-time monitoring of falling and respiration during sleeping through contactless multi-sensing while solving patient's privacy problems.