• 자동차안전학회지
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• 제13권4호
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• pp.53-59
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• 2021

According to the Korean Traffic Accident Analysis System (TAAS), more than 200,000 traffic accidents occur every year. Also, the statistics including auto insurance companies data show 1.3 million traffic accidents. In the case of TAAS, the types of traffic accidents are simply divided into four; frontal collision, side collision, rear collision, and rollover. However, more detailed information is needed to assess for advanced driver assist systems at intersections. For example, directional information is needed, such as whether the vehicle in the car accident way in a straight or a left turn, etc. This study intends to redefine the type of accident with the more clear driving direction and path by referring to the Negligence standards used in automobile insurance accidents. The standards largely divide five categories of car-to-car/motorcycle /pedestrian/cyclist, and highway, and the each category is classified into dozens of types by status of the traffic signal, conflict situations. In order to present more various accident types for auto insurance accidents, the standards are reclassified driving direction and path of vehicles from crash situations. In results, the car-to-car accidents are classified into 33 accident types, car-to-pedestrian accidents have 19 accident types, car-to-motorcycle accidents have 38 accident types, and car-to-cyclist accidents are derived into 26 types.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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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.

• International Journal of Reliability and Applications
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• 제3권2호
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• pp.61-80
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• 2002

Tree-harvesting worker data of 508 separate worker accidents are analyzed and an exploratory approach taken. The worker accident data cover a sample of five years. The scope of the study was the southeastern United States of America. As might be hypothesized, the chainsaw was the most hazardous type of tree-harvesting equipment. It accounted for 55％ of the tree-harvesting accidents. Most chainsaw accidents resulted in injuries to the lower extremities and were more frequent among younger employees. The probability of one or more chainsaw accidents occurring in any 30-day period was approximately 0.856. Chainsaw accidents were more likely to occur in late morning and early afternoon. We used statistical tools such as Pareto charts, c-charts and Ishikawa diagrams. Such tools are useful in diagnosing the root-cause of tree-harvesting worker accidents and help in developing preventive safety programs. Recommendations to help improve the quality of information of accident data collected by insurance companies and others are briefly given. The strategy and culture of continuous process improvements are stressed.

• 한국안전학회지
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• 제21권4호
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• pp.102-107
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• 2006

Construction accidents have not decreased in spite of much effort such as new work methods, education and research related to safety works. Specially, many fatal accidents happened in construction works which involve the apartment, building, school, church, hotel, hospital, bank work and the other works. These accidents are mainly caused by unanticipated risk factors. From these reasons, this study researched fatal accidents which happened in construction works during last 13 years($1992{\sim}2004$) and analyzed the input workers and a work period of construction work. According to the input workers and a work period, the results are as following. During 13years($1992{\sim}2004$), the fatal accidents, related to the construction work, were happened to the 1,977 cases. These results were occupied the 21.32% of the total industry accidents. According to the result of the construction, the fatal accident rate of a concrete form work was the highest rate of 16.24% (321 cases) and a temporary work, a steel frame work was the each rate of 12.39%(245 cases), 10.07%(199 cases). Comparing to other work types, the fatal accident rate of those three work types(concrete form work, temporary work, steel work) was represented highly. We surveyed input workers and work period of construction work site. From the result of survey, input workers of a concrete form work were occupied with 13,720. The risk rate of the work type, which was considered input workers and work period, was represented 0.3622(a steel frame work), 0.1142(a temporary work), 0.0782(a tower crane) and 0.0772(a concrete work).

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2007년도 정기학술발표대회 논문집
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• pp.710-713
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• 2007

2002${\sim}$2006년까지 총 5년 동안 한국산업안전공단에 접수된 중대재해건수 총 2546건 중 추락사고로 인한 중대재해건수는 1444건으로 전체 재해발생률의 56.7%로 가장 높은 비중을 차지하고 있다. 본 연구는 2002${\sim}$2006년 한국산업안전공단의 중대재해 조사목록을 대상으로 추락중대재해의 발생형태별 재해율, 규모별, 공사종류별, 기인물별, 동업종경력별, 발생시점별 현황분석과 추락중대재해에 대한 직종-공사종류별, 직종-기인물별 현황을 교차분석 하였다. 이에 따라 본 연구는 건설 중대재해 발생형태 중 추락중대재해를 중심으로 발생인자별 현황을 분석하고, 인자별 교차분석하여 건설공사의 추락중대재해 발생특성을 도출함으로써 건설공사 시공현장에서 추락중대재해의 안전계획 수립 시 기초적 자료를 제공하고자 한다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 Asia Navigation Conference
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• pp.166-175
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• 2006

Since many years ago and in spite of the existence of national regulations and international conventions ratified by the countries that are conformed the Central American Region (CAR), the seagoing maritime sector of this Region, has developed its activity without any type of safety measures. Therefore, a large number of people are known to die, disappear and suffer from serious injuries each year. These maritime casualties devastate the families affected by these events, and severely impact the local social and economic well-being. While all these accidents occurred in this Region, non government or any other official records are available recording these casualties Due to the lack of any historical written reports about maritime casualties occurred in this Region, the compilation of this type of accidents information and data was carried out directly by the researchers in the field. Also, all the information about the CAR Maritime Organization Components was too compiled by the authors from the respective National Maritimes Authorities. From the compiled information was elaborated the CAR maritime casualties data base and from the analysis of the above data base were determined the main causes of the maritime accidents occurred in the CAR. The lack of safety measures onboard and the ignorance of the presence and influence of atmospheric phenomena were among main factors that had been caused the maritime casualties in this Region. By other hand, from the analysis of the CAR maritime organization components, the existence of one level of organization very similar among them was determinate. The objective of this research was to analyze the role of the CAR maritime organization in the prevention of the occurrence of maritime casualties. The results of this study provides general understanding of the causes of this type of accidents in the CAR and basis for support in improving safety navigation system and measures so that the number of fatalities and maritime accidents may be reduced in the future.

• 대한교통학회지
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• 제32권6호
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• pp.615-627
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• 2014

본 연구는 비계층적 K-평균 군집분석을 이용하여 보행자사고와 토지이용특성에 따른 지방자치단체의 유형을 분류하고 유형별 보행자사고의 세부특성을 Mann-Whitney U검증과 Kruskal-Wallis 검증을 이용하여 분석한 다음 그 결과로부터 보행환경 조성사업에 대한 개선방안을 제안하였다. 지역은 행정시와 행정구를 제외한 기초지방자치단체를 기준으로 230개 시 군 구로 구분된다. 비계층적 K-평균 군집분석 결과 230개 지방자치단체는 유형 1-A(상업지가 상대적으로 우세한 도시형), 유형 1-B(주거지가 우세한 도시형), 유형 2(농촌형)로 분류되었으며, 지자체 유형별 보행자사고 차이 검증결과 9m 미만 생활형 도로의 보행자사고 발생율은 공통적으로 60% 이상으로 도시형에 비해 농촌형에서 발생할 비율이 더 높았다. 또한 유형별로 유형 1-B는 교차로 내 보행자사고 사상자수가 많고 횡단 중 사고 비율도 높은 반면 길가장자리구역 통행 중 보행자 사상자수 비율은 유형 2에 해당하는 농촌형이 가장 높았다.

• 한국항해항만학회지
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• 제42권3호
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• pp.159-166
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• 2018

해양사고를 야기한 선원들의 행동오류 식별은 해양사고 예방, 저감 또는 억제에 중요한 단서가 된다. 본 연구의 목적은 SRKBB(Skill-, Rule-, and Knowledge Based Behavior) 이론을 이용하여 해양사고 종류별로 선원들의 행동오류를 식별하는데 있다. 행동오류 식별을 위하여 9년간(2008~2016)의 해양사고 재결서 1,744건에 기록된 사고내용을 수집한 후, 사고를 야기한 선원들의 행동오류를 SBBE(Skill-Based Behavioral Error), RBBE(Rule-Based Behavioral Error), KBBE(Knowledge-Based Behavioral Error) 세 가지 종류로 분류하였다. 행동오류 분류를 위하여 SRKBB 이론을 적용한 행동오류 분류용 프레임워크를 제안하고, 이 프레임워크를 이용하여 행동오류 데이터를 구축하였다. 사고종류별 행동오류의 빈도를 분석한 결과, 충돌사고는 SBBE가 가장 높은 빈도로 관측되었고, 이어서 RBBE가 두 번째로 높은 빈도로 관측되었다. 이에 반하여 좌초, 전복 및 침몰 등의 사고는 KBBE 중에서 높은 빈도로 관측되었다. 연구결과, 해양사고 종류별로 선원들의 행동오류 식별이 가능하였고, 해양사고 종류별 사고 예방에 필요한 선원들의 행동오류 보정에 관한 단서를 확보할 수 있었다.

• 한국산업융합학회 논문집
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• 제25권5호
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• pp.811-816
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• 2022

Even though continuous management and supervision of reinforcement of policies to safeguard accidents at workplace and work sites were implemented. Accident prevention activities such as inspection and diagnosis are urgently required to induce a preliminary investigation to identify the risk factors for each type of work, before the work task to eliminate risks at the worksites. Since safety inspections at work sites were generally conducted through visual inspections, the results of safety inspections may vary depending on the findings and proficiency of the safety officers. The results of those inspections may have loopholes to prevent potential accidents at work. Therefore, the purpose of this study was to develop a risk identification checklist that can effectively perform safety inspections to prevent accidents at work sites. This study initially analyzed the previously developed accident checklist to identify current complications and issues in safety checklists. Based on the findings of major industrial accidents over the past three years, the relationship between accident, workplace, and work type were analyzed refereeing the safety inspection standards. A risk recognition-checklist was developed to provide basic data on identifying risk factors, and inspection guidance at work sites. To prepare for potential accidents by identifying and taking countermeasures to mitigate the high risk and serious accidents at sites by the guidelines of the checklist. The developed inspection checklist has been practically used by experts at work sites to perform safety inspections, and it has been verified its suitability, and feasibility, to prevent or mitigate workplace accidents, including securing the safety and health of field workers. The role of the developed safety checklist has been considered effective at worksites.

• 한국재난정보학회 논문집
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• 제20권2호
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• pp.440-447
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• 2024

연구목적: 국내의 차량 등록 대수는 계속 증가하고 있다. 삶의 질 향상으로 인한 교통량 또한 점진적으로 증가하므로 사고 심각도가 증가 및 혼잡문제 또한 야기될 것으로 예상된다. 따라서, 첨두 교통사고와 비첨두 교통사고의 사고 요인을 분석할 필요가 있다고 판단된다. 연구방법:인천광역시의 첨두 및 비첨두 교통사고의 심각도를 첨두와 비첨두로 나누어 분석하여 사고에 영향을 미치는 요인을 알아보고자 한다. XGBoost 머신러닝 기법을 적용하여 첨두 및 비첨두 교통사고 심각도를 분석하였으며 결과를 통하여 plot으로 시각화하였다. 연구결과:첨두시 피해운전자 차종_승합인 경우 등 비 첨두시는 피해운전자 차종_건설기계 등이 사고 심각도를 높이게 되는 변수인 것으로 분석되었다. 결론: 첨두와 비첨두 사고 심각도의 요인을 도출한 것에 의의가 있고 추후 첨두 및 비첨두시의 사고 심각도를 낮추고 국내 교통의 혼잡 요인을 분석하여 혼잡 비용을 줄일 수 있는 것에 활용되기를 바란다.