• Human Ecology Research
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• 제55권6호
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• pp.661-673
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• 2017

This study analyzes the current wearing status and awareness of warning clothing for elementary school students as well as to identify points of improvement for traffic accident prevention and clothing safety education. A survey was conducted on 279 elementary $5^{th}$ and $6^{th}$ graders in the Incheon area and Ansan in 2017 June & July. The results showed that more than 2/3 of participants had no experience wearing warning clothing. Second, 63% of participants answered 'traffic accident prevention' as the main purpose of warning clothing, showing that about 2/3 are aware of the importance. Third, yellow was the most preferred color of fluorescent material for warning clothing with a significant difference of preference by grade. The favorite color combination of participants was yellow & orange followed by yellow & light green, but showed a significant difference between boys and girls. Fourth, the most preferred form of warning clothing was fluorescent short sleeves and shorts without reflective tape, suggesting that students paid more to the purpose for reflective tape. Fifth, while 68% of participants were negative towards wearing safety clothes that are currently available, 66% were willing to try safety clothes if the color and the design improved. The results suggest an improved education with more emphasis on the purpose of clothing safety. Color and design adjustment of the current warning clothing is also recommended for a more active participation by elementary school students.

• 대한안전경영과학회지
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• 제25권2호
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• pp.139-151
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• 2023

This study aims to understand the current status of exemptions for traffic accidents during the return of emergency vehicles and to provide suggestions for improvement. A survey was conducted on 3,500 firefighters to investigate the perception of traffic accidents during the return of emergency vehicles, and responses from 505 participants were analyzed. Based On the demographic characteristics and perception of the participants, frequency analysis and variance analysis were used as research methods to analyze basic statistics and the current situation. The results showed that firefighters have concerns and anxieties about traffic accidents during the return of emergency vehicles, and the need for applying exemptions and enacting explicit legal provisions was statistically confirmed. Based on these results, we suggest a policy for exemptions to improve the preparation for re-deployment and to alleviate the concerns and anxieties of firefighters.

• 한국방재안전학회논문집
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• 제10권2호
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• pp.7-19
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• 2017

최근 들어 재난 및 안전사고 발생 빈도가 급격히 증가하고 있으며, 이에 대한 국민들의 관심과 요구가 높아지고 있다. 특히 우리나라의 교통사고는 정부 및 지자체의 지속적인 노력으로 인해 감소하고 있는 추세에 있지만, OECD 평균에 비해서는 여전히 아직까지는 높은 수준을 보이고 있다. 이와 같은 시대적 요구에 따라 각 지자체의 안전수준을 분야별로 계량화한 수치인 '지역안전지수'를 매년 공개하여 국민들의 경각심을 일깨우고 있다. 지역안전지수는 지방자치단체에서 발생하는 7개 분야의 사고(교통사고, 범죄, 자살, 감염병, 화재, 안전사고, 자연재해)를 다루지만, 본 연구에서는 교통사고 분야에 집중하여 분석을 실시하였다. 분석대상 지자체는 울산광역시 울주군이며, 울주군의 교통사고 통계 데이터를 기반으로 교통사고 발생현황, 사고 취약지점 등을 분석하였다. 그 중 3개의 중점개선지구를 선정하고 각각의 중점개선지구별로 15개의 취약지점을 선정하였다. 다음으로 교통사고 관련 현황자료를 통한 공간정보 분석과 유관기관 면담을 통해 사고 취약지점별 개선대책을 마련하였다. 또한 개선대책은 교통사고 예방의 관점에서 구조적인 인프라 개선, 제도적 개선, 교통안전문화운동전개 등으로 구분하여 구체적인 방안을 제시하였다. 끝으로 본 연구의 시사점은 교통사고 예방을 위한 개선 사업별 추진일정 및 예산을 제시한 이행계획을 토대로 지자체내 담당부서의 임무와 역할을 명기하였다. 그리고 교통사고 관련 유관기관 및 민간부문의 참여 방안을 구체적으로 제시하였다는 점에 큰 의의가 있다.

• Child Health Nursing Research
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• 제8권4호
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• pp.435-448
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• 2002

Accidents are important causes of death and disability in children. They also have enormous financial implications. Young children become an victim of accidents easily because of their physical fragileness and their coping behavior being vulnerable to any actions taken by accidents. Once they have a accident, the children whose not fully developed, suffer from devastating long-term after-effects. Lee, Lee, Kang and Han(1995) reported that ninety percent of accidents can be prevented. But there is no national system to manage, evaluate and analyse the information about child accidents, even though it is necessary for accident prevention policies and health promotion of the general public. The purpose of the study was to determine how often children have accidents and define the accident prevention strategies in children. The investigator conducted a descriptive study by performing the surveys, interviews, and workshops for the 2,458 young children, 10 teachers, and 1,494 parents. The data collection for the study began on September 2000 and completed on April 20, 2001. The analysis of the data was done with Window SPSS 10.0 for descriptive statistics. Among those children, 1,298 children(52.8％) injured from accidents. The children who had accident answered that they injured from traffic accident(27.3％), inside the home(26.3％), on the playground(17.0％), during playtime(13.6％), in the school(5.9％) and food poisoning(7.1％). To define accident prevention strategies for the school children, the parents and the teachers who had a special interest in this topic formed a special task force under the guidance of the investigator. The team was charged to prepare the basis of content materials by identifying the problems, setting standards for the program, prioritizing the process, and selecting the methods of implementation and evaluation. Eight issues and concerns identified by the team were: 1)allowing young children to learn undesirable habits and behaviors that would bother others without knowing; 2) not guarding young children from car accident; 3)unattended accident at playground; 4) considering home places safe; 5)unattended accident at school. These issues were found to be coinciding with the actual child accident cases occurred recent years in Korea. Greater efforts are required to reduce unnecessary deaths and disability from childhood accidents. This study gave a very useful and important data to prepare accident prevention educational program and to prepare accident prevention strategies.

• 디지털융복합연구
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• 제18권4호
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• pp.229-236
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• 2020

고속도로를 이용하는 차량이 늘어나고 고령인구가 증가함에 따라 고령자로 인한 고속도로 사고의 피해가 심각해지고 있다. 특히 흐린 날과 야간의 고속도로 교통사고 시 고령운전자의 응급상황이 후속차량에게 전달되지 않아서 2차, 3차 사고로 확대되어 심각한 후유증을 남긴다. 그러므로 고령자의 사고차량과 후속차량들 간의 경제적이고 효과적인 차량간 긴급통신 정책과 그 시스템의 구축이 절실한 상황이다. 본 논문은 고령운전자의 응급상황 시 특수한 비상등 패턴을 활용하여 후속차량에게 전달하여 2차사고 예방 및 긴급구호를 이끌어 낼 수 있는 정책 및 방법을 제안하였다. 추가적으로 적색 제동등을 활용한 차량간 적외선 긴급통신 시스템을 도입하고 RC-Car 형태의 시작품으로 구현함으로써 그 실현 가능성을 확인해 보았다.

• 대한교통학회지
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• 제25권3호
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• pp.123-135
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• 2007

본 연구에서는 고속도로 트럼펫 인터체인지상에서 연결로 형식별로 일어나는 교통사고와 도로 기하구조 및 교통량등의 교통사고 요인들과의 관계를 분석하기 위해 교통사고의 분포의 특성을 분석하여 적합도 검증을 통해 모형추정시 가장 적절한 분포를 찾은 결과 음이항분포(Negative binomial distribution)가 선택되었다. 선택된 분포에 기반하여 트럼펫 인터체인지 연결로 전체, 연결로 형식별(직결, 준직결, 루프연결로) 각각의 음이항회귀모형 (Negative binomial regression model)을 개발하였다. 총 4개의 모형을 개발하고 그것의 적합도를 판단하는 여러 가지 통계값과 모형에서 예측한 값과 실제 관측값과의 차이를 분석한 결과 예측모형이 적합하게 구축되었음을 보였다. 추정된 모형의 통계적으로 유의한 변수들을 분석하여 교통사고를 설명하는데 유의한 변수들을 판단하고 이러한 변수들을 도로의 설계자가 도로 설계 및 운영에 적용하거나 교통안전계획 수립시 해당도로의 교통특성을 반영한 교통사고 절감 대책 등에 이용할 수 있을 것이다.

• 자동차안전학회지
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• 제7권2호
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• pp.15-18
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• 2015

The availability of in-depth accident data is a prerequisite for each efficient traffic safety management system. Identification and definition of the relevant problem together with knowledge of the data and parameters describing this problem is essential for its successful solution. Comprehensive, up-to-date, accident data is needed for recognition of the scope of road safety problems and for raising public awareness. Reliable and relevant data enable the identification of the contributory factors of the individual accidents, and an unveiling of the background of the risk behaviour of the road users. It offers the best way to explore the prevention of accidents, and ways to implement measures to reduce accident severity. In this study, reviewing the existing iGlad and GIDAS system, KIDAS data format can be finalized through feasibility evaluation. The progressive approach is proposed to successful settlement of Korea in-depth accident study. As the initial stage of in-depth investigation DB construction, the KIDAS is not repetition of the current police based TAAS. It is essential part of improving vehicle safety and reduction of traffic fatality in Korea. 72 Contributing factors like road and traffic characteristics, vehicle parameters, and information about the people involved in the accident have to be investigated and registered as well in the KIDAS.

• 한국안전학회지
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• 제20권3호
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• pp.112-119
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• 2005

In road tunnel, in order to prevents an accident and minimize the damage of an accident in the case of fire, safety facilities and equipments are integral parts. The type and amount of safety facilities are based on tunnel type and length, traffic flow rate, etc. Therefore many countries use a tunnel classification system that categories tunnel into groups, and specifies the necessary emergency equipment for each group. In this study, for the purpose of classifying tunnel based on tunnel ist investigated the domestic and foreign standards and regulations for safety of road tunnel. As a results, we suggest the method of classification of tunnel by traffic performance, tunnel grade, the volume of traffic, fraction of HGV, rules or regulations for transports of dangerous good through tunnel.

• 한국보건간호학회지
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• 제12권1호
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• pp.55-74
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• 1998

In the past most major accidents resulted in death, but today there is a dramatic increase in the number of people who survive such accidents but who are left with permanent injury. Particularly, children who are inquisitive about their surroundings but immature in their ability to assess danger, are more vulnerable to accidents and their causes as well as to determine attitudes towards prevention. The main objective of the study was to assess the effectiveness of using an accident prevention manual for accident for accident prevention education. The study was a quasi-experimental study using a questionnaire format. The subjects of the study were 393 mothers of children attending six day care centers in Seoul. Data collection was done between May 1 and June 15, 1997. The tools used for the study were a questionnaire developed the researchers and a manual for accident prevention. The collected data were analyzed using SPSS. The results of the study are as follows: 1. Types of accidents included stabbing, bums, falls from heights, choking, falls on slippery surfaces, traffic accidents, drowning, poisoning, and electrical shock in that order of frequency. 2. The main causes of accidents in children were from cosmetics and household medications. 3. The most frequent locations of accidents in the home were the bathroom, kitchen, and stairways in that order. 4. For $90.4\%$ of children safety seats were not used when the ridding in a car. 5. In examining the parents' accident prevention practices, it was found that many parents used only . one electrical outlet for many appliances, tending to overload the electricity lines and that they were not practically concerned bout the flammability of children's pajamas, indicating a less than positive attitude towards fire prevention. 6. The parents had not provided their children with any instruction on accident prevention or on what to do after an accident had occurred. 7. After the use of pamphlet in an accident prevention education program, it was found that there was a statistically significant difference in the degree to which children carried out safety measures (t=14.96, p=.000) and in their safety habits (t=-1.67, p<.1) indicating an effectiveness in this method of education. The results of this study showed that there are many things in a child's environment that can cause accidents and that the possibility of an accident occurring is high. So nurses looking after children should be aware of the need for safety education to prevent accidents in the home and plan to provide appropriate educational material to help parents with this education.

• 지능정보연구
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• 제21권4호
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• pp.1-16
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• 2015

교통사고의 원인을 규명하고 미래의 사고를 방지하기 위한 노력의 일환으로 데이터 마이닝 기법을 이용한 교통 데이터 분석의 연구가 이루어지고 있다. 하지만 기존의 교통 데이터를 이용한 마이닝 연구들은 학습된 결과를 사람이 이해하기 어려워 분석에 많은 노력이 필요하다는 문제가 있었다. 본 논문에서는 많은 속성들로 표현된 교통사고 데이터로부터 유용한 패턴을 발견하기 위해 규칙 학습 기반의 데이터 마이닝 기법인 연관규칙 학습기법과 서브그룹 발견기법을 적용하였다. 연관규칙 학습기법은 비지도 학습 기법의 하나로 데이터 내에서 동시에 많이 등장하는 아이템(item)들을 찾아 규칙의 형태로 가공해 주며, 서브그룹 발견기법은 사용자가 지정한 대상 속성이 결론부에 나타나는 규칙을 학습하는 지도학습 기반 기법으로 일반성과 흥미도가 높은 규칙을 학습한다. 규칙 학습 시 사용자의 의도를 반영하기 위해서는 하나 이상의 관심 속성들을 조합한 합성 속성을 만들어 규칙을 학습할 수 있다. 규칙이 도출되고 나면 후처리 과정을 통해 중복된 규칙을 제거하고 유사한 규칙을 일반화하여 규칙들을 더 단순하고 이해하기 쉬운 형태로 가공한다. 교통사고 데이터를 대상으로 두 기법을 적용한 결과 대상 속성을 지정하지 않고 연관규칙 학습기법을 적용하는 경우 사용자가 쉽게 알기 어려운 속성 사이의 숨겨진 관계를 발견할 수 있었으며, 대상 속성을 지정하여 연관규칙 학습기법과 서브그룹 발견기법을 적용하는 경우 파라미터 조정에 많은 노력을 기울여야 하는 연관규칙 학습기법에 비해 서브그룹 발견기법이 흥미로운 규칙들을 더 쉽게 찾을 수 있음을 확인하였다.