• Title/Summary/Keyword: Construction accident

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A study on the Importance of Risk Factor for Falling Accident in Construction Site (건설현장 추락재해의 위험요인 중요도 분석 연구)

  • Kim, Do-Su;Shin, Yoon-Seok
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.11a
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    • pp.63-64
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    • 2018
  • The construction industry is one of the most prolific disaster-prone industries, particularly those that suffer from falling disasters compared to other industries. The safety accident at the construction site leads to social problems caused by massive loss of life and property, so it needs to be extra careful. The reason why falls are the most frequent accidents of the types of construction accidents is due to the analysis of the risk factors of safety accidents and the development of various construction methods. Therefore, in this study, the accident case for the fallen victims of construction site was analyzed and the risk factor was selected. Based on the safety expert survey, an importance analysis was performed. In conclusion, this study analyzes various risk factors that affect the occurrence of falls, identifies the importance of each factor, and presents basic data for safety accident prevention activities.

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Profiling of Workers based on Safety Accident Big Data in Construction Site (건설현장 안전사고 빅 데이터 기반 작업자별 프로파일 분석)

  • Kang, Sung Won;Lee, Ki Seok;Yoo, Wi Sung;Shin, Yoon-Seok
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.05a
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    • pp.247-248
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    • 2021
  • Recently, the government is pursuing to reduce the serious accidents in most industries, including the construction industry, by enacting laws on punishment. The accident rate tends to be depended on the size and type of construction sites, and the accidents occur frequently due to inadequate implementation of safety management system and management standards, especially, in small and medium-sized sites. This study has performed the profiling of 265,000 accident cases on construction sites by attribute analysis such as the ratio of days lost to work, and pattern of days lost to work compared to the size of the construction. It turned out that the proportion of accident cases was high mainly in small-scale construction sites, and long-term labor losses occurred. Shortly, it is necessary to establish an institutional standard for applying a realistic safety management cost calculation and management system centered on small-scale sites. Therefore, this study is expected to be used as fundamental data or guideline for developing a customized safety management and accident prevention system for a worker reflecting the conditions of a construction site in the future.

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The Efficiency Analysis of the Safety Investment Cost in Construction Work (건설공사의 안전투자비에 대한 효과 분석)

  • Park Jong-Keun;Ro Min-Lae;Yi Kwan-Hyung
    • Journal of the Korean Society of Safety
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    • v.19 no.4 s.68
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    • pp.94-100
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    • 2004
  • This study delivers the actual condition of investment for industrial accident prevention based on survey of 500 construction sites from 'reports for industry safety and health' published by Korea Occupational Safety & Health Agency (KOSHA). The various research techniques were used such as technical statistic analysis for construction industry, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

Prevention through Design (PtD) of integrating accident precursors in BIM

  • Chang, Soowon;Oh, Heung Jin;Lee, JeeHee
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.94-102
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    • 2022
  • Construction workers are engaged in many activities that may expose them to serious hazards, such as falling, unguarded machinery, or being struck by heavy construction equipment. Despite extensive research in building information modeling (BIM) for safety management, current approaches, detecting safety issues after design completion, may limit the opportunities to prevent predictable and potential accidents when decisions of building materials and systems are made. In this respect, this research proposes a proactive approach to detecting safety issues from the early design phase. This research aims to explore accident precursors and integrate them into BIM for tracking safety hazards during the design development process. Accident precursors can be identified from construction incident reports published by OSHA using a text mining technique. Through BIM-integrated accident precursors, construction safety hazards can be identified during the design phase. The results will contribute to supporting a successful transition from the design stage to the construction stage that considers a safe construction workplace. This will advance the body of knowledge about construction safety management by elucidating a hypothesis that safety hazards can be detected during the design phase involving decisions about materials, building elements, and equipment. In addition, the proactive approach will help the Architecture, Engineering and Construction (AEC) industry eliminate occupational safety hazards before near-miss situations appear on construction sites.

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A Study on the Trends of Construction Safety Accident in Unstructured Text Using Topic Modeling (비정형 텍스트 기반의 토픽 모델링을 이용한 건설 안전사고 동향 분석)

  • Lee, Sang-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.10
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    • pp.176-182
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    • 2018
  • In order to understand and track the trends of construction safety accident, this study shows the topic trends in the construction safety accident with LDA(Latent Dirichlet Allocation)-based topic modeling method for data analytics. Especially, it performs to figure out the main issue of construction safety accident with unstructured data analysis based on the topic modeling rather than a variety of structured data analysis for preventing to safety accident in construction industry. To apply this methodology, I randomly collected to 540 news article data about construction accident from January 2017 to February 2018. Based on the unstructured data with the LDA-based topic modeling, I found the 10 topics and identified key issues through 10 keyword in each 10 topics. I forecasted the topic issue related to construction safety accident based on analysis of time-series trends about the news data from January 2017 to February 2018. With this method, this research gives a hint about ways of using unstructured news article data to anticipate safety policy and research field and to respond to construction accident safety issues in the future.

An analyzing Safety education contents propriety for Accident type in Construction work (건축공사 공종별 안전교육 자료의 적정성 분석)

  • Park, Tae-Hwan;Park, Young-Jun;Kim, Tae-Hui
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.11a
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    • pp.94-95
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    • 2013
  • Construction safety education plays role to provide necessary skills to workers for working safely. It is also important safety measure be used efficiently without any restriction to construction accident prevention. On this study, to develop effective education contents, we analyzed propriety of education contents used in construction sites, drew problem, and suggested the improvement direction.

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Development of the Safety Information System according to the Construction Site Accidents (재해사례에 의한 건설현장 안전정보시스템 구축에 관한 연구)

  • Go Seong-Seok;Lee Han-min;Song Hyuk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.201-207
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    • 2001
  • Construction accidents are very serious comparing to its workers. These kind of accidents consist in the particularity of construction. The accident prevention task in construction requires both into immediate approach and longer range approach of instruction, training and education. Information concerning each individual accident, if the information of investigation has been done well, it provides information of prevention accident. At this point, this paper by examining 800 cases of serious accident researched by the Korea Occupational Safety and Health Agency from Jan. 1992 to Dec. 2000 specifically targeting apartment and building construction develops the construction information system to suggest the proper information of construction safety.

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Construction Equipment Accidents by Time

  • Jung, Hyunho;Kang, Youngcheol;Kang, Sanghyeok
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.179-187
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    • 2020
  • This paper investigates the construction equipment accidents by time. Construction sites are unique with many different hazardous conditions which cause accidents. According to the Occupational Safety and Health Administration (OSHA), accidents related to construction equipment are one of the most leading causes of fatal injuries in the construction industry. While there have been many studies investigating the equipment-related accidents, few research studies provided in-depth analyses about the time that accidents frequently occurred. By using the OSHA accidents data collected between 1997 and 2012, this paper analyzed the accidents data by time, equipment type including excavator, backhoe, dozer, and crane, accident cause, and injury class. The analyses revealed that the time window with most accidents was between 13:00 and 13:59. In terms of the injury class, the time windows with the highest numbers of equipment accidents were between 13:00 and 13:59 and between 11:00 and 11:59 for fatality and hospitalization, respectively. For the accident causes, equipment operator's error was the highest number of accident causes. It is expected that findings from the analyses can be used to more strategically develop management plans and guidelines to prevent accidents related to construction equipment to practitioners.

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An Analysis of the Accident Types and Causes of Construction Cranes (크레인 관련 중대재해사례를 통한 재해 유형 및 원인 분석)

  • Kim, Hong-Hyun;Lee, Ghang
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2007.04a
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    • pp.109-112
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    • 2007
  • As buildings become higher, larger, and more complex, safety issues for construction workers working at such environments become more important. We analyzed 140 critical accident cases reported to the KOSHA(Korea Occupational Safety & Health Agency) for construction cranes and lifts by types of cranes and by patterns of accidents and causes. By finding out the accident's types and causes, we expect to develop an efficient measure for preventing similar accidents in the near future. The cases will be studied further and reexamined using the FMEA(Failure Mode and Effect Analysis) as a quantitative analysis method.

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An Analysis on the Accident Influence Factor and Severity of Construction General Workers (건설 보통인부의 안전재해 영향요인 및 재해강도 분석)

  • Shin, Won-Sang;Son, Chang-Baek
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.3
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    • pp.69-76
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    • 2018
  • General workers who assist various technicians in different fields with their work across the whole construction sites without having a particular skill are at risk of the highest accident rate and their accident form becomes varied. Accordingly, this study was conducted to identify the relationship between form of safety accident and influence factor in general workers and analyze accident severity by influence factor. The followings are the results from this study. First, as a result of analyzing major form of accident and influence factors in general workers with network analysis methodology, nine forms of accident and seventeen influence factors were drawn. Second, it was found that in accident severity among general workers, collapsing, among various forms of accident, appeared the highest, followed by fall, electric shock, fire, hit by an object, bumped against, trip, scission getting cut chopped in order. Third, main points of special, concentrated, and permanent management were presented in order to reduce the safety accident in general workers effectively.