• Title/Summary/Keyword: industry accident

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Preventive Occupational Health and Safety Expense Estimation Method based on Fatality Statistics and Progress Model (중대재해발생률 및 진도관리모델을 고려한 공사진척도별 적정 안전보건관리비 산정기법)

  • Yi, Kyoo-Jin
    • Journal of the Korea Institute of Building Construction
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    • v.17 no.2
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    • pp.191-197
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    • 2017
  • The safety nature of construction industry differs from that of manufacturing sector. For instance, accident risk level dramatically varies at each phase of construction process. Korean Occupational and Health Safety Act has been regulated OHS expense and it contributed reducing accident risk and enhancing safety culture for many years. However, although current regulation guides to use OHS expense proportionate to construction progress, it still allows late use of the expense. This study was conducted for the purpose of presenting methods of estimating a step-by-step OHS expense rate required at each construction phase. In order to do provide proper OHS expense schedule, it analysed accident risk of each construction phase by sorting out 1439 cases of construction site fatality reports, and proposed a method of generating appropriate OHS expense scheme according to its construction work progress characteristics. Both linear and sigmoidal S-curve model were used for the analysis, and the latter generally requires earlier use of OHS expense. By comparing the estimated OHS expense use schedule with current criteria, more than 27%p early use of OHS expense is required for the prevention of accident.

Affinity Analysis Between Factors of Fatal Occupational Accidents in Construction Using Data Mining Techniques (데이터마이닝 기법을 활용한 건설 중대 재해요인 간 연관성 분석)

  • Lim, Jiseon;Han, Sanguk;Kang, Youngcheol;Kang, Sanghyeok
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.5
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    • pp.29-38
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    • 2021
  • Governments and companies are trying to reduce occupational accidents in the construction industry; however, the number of disasters are not decreasing significantly. This study aims to identify the correlation between factors affecting construction disasters quantitatively. To this end, 1,197 cases of serious disasters provided by Korea Occupational Safety and Health Administration (KOSHA) were analyzed using affinity analysis, one of the data mining techniques. The data from KOSHA were preprocessed and analyzed with variables of accident type, project type, activity type, original cause materials, sensory temperature, time of the accident, and fall height, and the association rules were derived for fall accidents and the others. For fall accidents, 64 association rules with lift ratios of 1.38 or greater were derived, and for the other accidents, 59 association rules with lift ratios of 1.54 or greater were derived. After analyzing the derived association rules focusing on the relationship among accident factors, this study presented the significance of applying the affinity analysis to address the study's limitations. The significance of this study can be found in that the correlation among factors affecting construction accidents is presented quantitatively.

Development of Machine Learning-based Construction Accident Prediction Model Using Structured and Unstructured Data of Construction Sites (건설현장 정형·비정형데이터를 활용한 기계학습 기반의 건설재해 예측 모델 개발)

  • Cho, Mingeon;Lee, Donghwan;Park, Jooyoung;Park, Seunghee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.127-134
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    • 2022
  • Recently, policies and research to prevent increasing construction accidents have been actively conducted in the domestic construction industry. In previous studies, the prediction model developed to prevent construction accidents mainly used only structured data, so various characteristics of construction sites are not sufficiently considered. Therefore, in this study, we developed a machine learning-based construction accident prediction model that enables the characteristics of construction sites to be considered sufficiently by using both structured and text-type unstructured data. In this study, 6,826 cases of construction accident data were collected from the Construction Safety Management Integrated Information (CSI) for machine learning. The Decision forest algorithm and the BERT language model were used to train structured and unstructured data respectively. As a result of analysis using both types of data, it was confirmed that the prediction accuracy was 95.41 %, which is improved by about 20 % compared to the case of using only structured data. Conclusively, the performance of the predictive model was effectively improved by using the unstructured data together, and construction accidents can be expected to be reduced through more accurate prediction.

항만하역업 안전관리 개선방안에 관한 연구

  • 심민섭;이정민;김율성
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.389-390
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    • 2022
  • Recently, Recently, the increase in international trade volume and the explosive increase in cargo volume due to the non-face-to-face society are leading to an increase in risk exposure and safety accidents in the port industry. In addition, as the Serious Disaster Punishment Act came into effect on January 27, 2021, various guidelines and laws to protect safety and life in port terminals are being enacted. However, despite these efforts, medium-to-large safety accidents in the port terminal industry continue to occur. According to the Korea Occupational Safety and Health Agency, from 2016 to 2019, the number of casualties in the port handling industry increased by 4.2%. For effective follow-up management of port accidents or the preparation of related safety laws/systems, a risk analysis in consideration of the cause and damage of the accident must be conducted first, so that realistic accident reduction and prevention measures can be established. Therefore, in this study, major risk factors and preventive measures were derived by conducting risk assessment based on 1,039 cases of port terminal accidents collected by the Korea Occupational Safety and Health Agency for 5 years from 2016 to 2022. After that, the priorities for preventive measures were determined through IPA analysis, Borich needs analysis, and The Locus For Focus analysis.

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Current Status and Improvement Plan for Foreign Construction Laborer (외국인 건설 근로자 현황 및 개선방안)

  • Park, Hee-Sung
    • The Journal of the Korea Contents Association
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    • v.15 no.9
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    • pp.555-561
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    • 2015
  • The construction industry is a labor-oriented and quality, cost, and schedule performance is effected by technicians. However, the construction industry have faced a labor shortage problem. Therefore, technician graying and no new workers inflow cause labor shortage and decline of worker's skill level. The utilization of foreign technicians instead of domestic technicians has been increased in the construction industry. This paper performed questionnaire survey for 43 managers on 14 project fields to determine the current status and problems of construction technicians and to propose a improvement plan. As a result, most foreign technicians are carpenters and iron workers, but the skill levels are generally lower than domestics. The major problems for foreign technicians are communication and non-skilled. Then, labor productivity and accident rates of foreign technicians are higher than domestics. This paper proposes that skill training programs, language lessons, and multi-cultural programs are effective to improve foreign workers' problems.

A Survey for Ergonomic Risk Factors in Wholesale/Retail Establishments (도·소매업종의 작업위험요인에 관한 연구)

  • Kim, Hyun-Ho;Kim, Kyu-Wan;Cho, Sung-Hyun;Kim, Day-Sung;Kim, Jeung-Ho;Kang, Seong-Kyu
    • Journal of the Ergonomics Society of Korea
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    • v.27 no.1
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    • pp.45-51
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    • 2008
  • The purpose of this survey was to identify ergonomic risk factors of work-related musculoskeletal disorders (MSD) and understand the current MSD risk status in the wholesale/retail industry. The field survey was conducted at 120 wholesale/retail establishments, and the cause of MSD occurred from the national industrial accident statistics by the Ministry of Labor in 2006 was analyzed in terms of company size, a term of work, job title, and cause of occurrence. The numbers of disasters on MSD were 602 which were included 432 disasters who met with low back pain by incident. A checklist was developed by KOSHA to use for the field survey. A total of 419 tasks were identified at the 120 establishments surveyed. The highest frequency was Task 2(45%) which was mostly observed in repetitive work (e.g. displaying, scanning, cutting or wrapping of goods). The second and third were Task 9(34%) and Task 8(14%) which were identified in manual materials handling (e.g. lifting, lowering, carrying or stocking of goods). The results suggest that the three Tasks should be first considered for the control in wholesale/retail industry and that exposure to MSD risk factors in those Tasks should be primarily addressed in order to reduce MSD risk in that industry.

Analysis on Factors Contributing to Motorcycle Accidents of Food Delivery Riders (플랫폼 기반 배달 이륜차 교통사고 영향요인 분석)

  • Lee, Sang Yun;Park, Jun Tae
    • Journal of the Korean Society of Safety
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    • v.37 no.1
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    • pp.70-77
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    • 2022
  • The total number of Korean restaurants using delivery applications has substantially increased from 7.6% in 2018 to 11.2% in 2019. In 2020, the gross sales in the food delivery service market reached approximately 17 trillion won; this amount is virtually six times that in 2017 (i.e., 2 trillion won). Meanwhile, the annual average death toll of motorcycle riders increased by 3.5%, whereas the number of deaths due to other traffic accidents decreased by 8.2%. Consequently, the foregoing has become a critical social problem. Despite the continuing increase in the number of delivery riders due to the rapid expansion of the delivery industry, no appropriate safety management system has been established. Moreover, the government is experiencing difficulties in assessing the exact situation because of the absence of competent authority. In this study, fundamental data on the characteristics of delivery work and motorcycle accidents were collected through surveys and interviews; then, the influencing factors of traffic accidents were analyzed. Different influencing factors were identified: work experience as a rider; number of deliveries; whether to accept delivery requests in transit; manner of accepting delivery requests; and traffic law violations, such as speeding (for faster delivery) and running a red light. Because the motorcycle delivery industry has a relatively low job-entry barrier (i.e., special qualifications are not required), the riding skills of riders must be improved, and delivery companies must be technically developed to achieve a safe working environment. The results of this study can be utilized as fundamental data for system development or structural improvement of the delivery industry.

Study on Displacement Behavior of Abandoned Mine Goaf Cave According to Filling Factor (충전율에 따른 폐광산 채굴적 공동의 변위거동에 관한 연구)

  • Kim, Dong-Rak;Seo, In-Shik
    • Journal of the Korean Society of Industry Convergence
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    • v.14 no.4
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    • pp.151-156
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    • 2011
  • The domestic mine development community the countermeasure establishment is insufficient about ground sinkage, not only the mine which is a in line is partial from the mine of the most which has become the rest mine and abandoned mine or the index sinkage occurs. The ground sinkage which occurs from the abandoned mine area most after operation is stopped, a long time passes and accurately predicts an occurrence location and a time with the residual sinkage which occurs, is difficult. Underground goaf of the abandoned mine and the closed shaft When considering the potentiality which causes the instability of ground, is a possibility of reaching a damage in the ground infrastructure or life. The underground shaft which is formed specially with mine development and goaf operates with the obstacle factor in the development project of the mine area, the ground sinkage which is caused by with sinkage, operates with the large safety accident occurrence factor where the important infrastructure of the railroad, road, residential area etc. is damaged. Therefore, In this paper, the goaf cave of the abandoned mine area, for the displacement behavior according to the filling factor of the material is to analyze the numerical analysis.

A Survey Study on Job Stress for Construction sites Safety Managers (건설현장 안전관리자의 직무스트레스에 관한 조사 연구)

  • So, Han-sub;Oh, Ki-Taek;Park, Jongkeun
    • Journal of the Korean Society of Safety
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    • v.30 no.4
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    • pp.106-112
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    • 2015
  • For the construction safety manager, it is expected that job stress is significantly high due to lack of expertise about new technology, new construction methods, and enlargement of scale as well as due to work intensity and unstable work hours. It is probable that such an increase in job stress not only has bad effects on individual, but also the bad effects spread to construction industry at large, resulting in rise in accident rate, increase in direct and indirect loss cost, and loss of reputation. In this context, methods for controlling construction safety manager's job stress are needed at the levels of both government and company. Therefore, this study investigated and analyzed the effects of construction safety manager's job stress on job satisfaction and job commitment, and proposed methods for relieving job stress. In addition, this study was suggested policies for higher job satisfaction and job commitment at the levels of the government and companies.

A Study on the Improvement of Dangerous Goods Safety Management in Maritime Terminal (항만 옥외저장소 위험물의 안전관리 개선 방안)

  • Lee, Bong-Woo;Shin, Se-Cheol;Park, Kyung-Jin;Choina, Yeong-Hwan
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.3
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    • pp.393-401
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    • 2020
  • According to the research and investigations performed on Port Facilities for cargo-works of hazardous materials around the Port of Busan, a conclusion was drawn that the manually operating foam tower monitors are ineffective as they are hard to access due to the radiant heat under contingency circumstances such as a fire. Moreover, in some cases, the effective range of Foam Tower Monitors are insufficient to reach docked ships and manifolds where hazardous materials are being unloaded. In addition, Dangerous Goods freights are inadequately and inefficiently stored regardless properties of hazardous substances due to complicated local regulations, and some are equipped with inapplicable facilities for docked ships. Therefore, in order to effectively counteract the contingencies and obtain safety, it would be recommended to install adequate facilities.