• International Journal of Highway Engineering
• /
• v.12 no.2
• /
• pp.43-49
• /
• 2010

This study deals with the traffic accident of the Cheongju arterial link sections. The purpose of the study is to develop the traffic accident model. In pursuing the above, this study gives particular attentions to developing the ZAM(zero-altered model) model using the accident data of arterial roads devided by 322 small link sections. The main results analyzed by ZIP(zero inflated Poisson model) and ZINB(zero inflated negative binomial model) which are the methods of ZAM, are as follows. First, the evaluation of various developed models by the Vuong statistic and t statistic for overdispersion parameter ${\alpha}$ shows that ZINB is analyzed to be optimal among Poisson, NB, ZIP(zero-inflated Poisson) and ZINB regression models. Second, ZINB is evaluated to be statistically significant in view of t, ${\rho}$ and ${\rho}^2$ (0.63) values compared to other models. Finally, the accident factors of ZINB models are developed to be the traffic volume(ADT), number of entry/exit and length of median. The traffic volume(ADT) and the number of entry/exit are evaluated to be the '+' factors and the length of median to be '-' factor of the accident.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.19 no.5
• /
• pp.1-14
• /
• 2020

The aim of this study is to analyze effects of factors on the number of vehicles involved in traffic accidents on freeway sections. In previous studies about traffic accident severity, the analysis of accidents involving multiple vehicles was insufficient. However, multiple-vehicle accidents are likely to cause casualties and are the main reasons increasing accident duration and social costs. In this study, the number of vehicles involved in an accident was interpreted as the result of the accident, not as the cause of the accident, and the impacts of each accident factor were analyzed using a multinomial logit model. The results indicate that multiple-vehicle accidents are mainly related to following factors: nighttime, driver's faults, obstacles on the road, a downhill slope, heavy vehicles, and freeway mainline sections including tunnels and bridges.

• Journal of the Korea Safety Management & Science
• /
• v.26 no.1
• /
• pp.75-89
• /
• 2024

The objective of this study was to conduct research and analysis using Group Focus Interview to survey the between construction site workers and managers implementing for the Severe Accident Punishment Act. Focused on measures to improve safety management effectiveness for the effectiveness of establishing a safety management system. A plan to improve the efficient safety management system was presented to 50 construction industrial managers and workers. In order to ensure the industrial accident prevention policies appropriately, it is necessary to be aware of safety obligations for workers as well as business operators. In addition, despite the existence of a commentary on the Serious Accident Punishment Act, confusion in the field still persists, so in the event of a major accidents, the obligation to take safety and health education is strengthened, and effective case education is proposed by teaching actual accident cases suitable for actual working sites. It is necessary to make all training mandatory, and it is necessary to reconsider awareness through writing a daily safety log, awareness of risk factors, etc., and writing down risk information. Above all, at the construction ordering stage, it is necessary to keep the construction safety, request corrections and supplements for problems issues that arise, and consult between the orderer and the construction company about the problems issues. Rather than having only the construction company correct or supplement the safety management plan, the contents should be shared with supervisors and workers to establish a more practical solution. Results of this study will contribute to improving the effectiveness of the serious accident and construction safety management system.

• International Journal of Highway Engineering
• /
• v.10 no.4
• /
• pp.53-63
• /
• 2008

Even though accident frequencies in roadway segments have been decreasing since 2000, there has been increasing the number of vehicle crashes at intersections. Due to this increase, safety problems at intersection recently started to be regarded as significant issues. The purpose of this study is to analyze the effects of road conditions, traffic operational conditions, and other influencing condition on intersection safety. Then a traffic accident frequency prediction model to evaluate the safety at intersections was developed based on the correlations between influencing factors and vehicle crashes. In this research, critically significant factors affecting vehicle crashes at rural four-legs signalized intersections were investigated. It was found that Poisson regression was the best fit method to developing a accident frequency modeling using the collected data in this study. Through this study, it was concluded that exclusive left turn lane, crosswalk, posted speed, lighting, angle, and ADT are significant influencing factors on the intersection safety.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2017.05a
• /
• pp.39-40
• /
• 2017

High temperatures and humidity in summer strongly affect conditions of construction workers. These could lead to safety accidents and results in fatal accidents. This study, based on 3 years of weather and fatal accident data, explains the association between fatal accidents in summer and discomfort index and proposes management directions.

• Journal of the Korean Society of Safety
• /
• v.20 no.4 s.72
• /
• pp.71-77
• /
• 2005

There are insufficient models that find problems and solutions for accident prevention through risk assessment and suggest safe work process and work instruction from foundation works to finish work for accident decrease. This paper presents a quantitative risk assessment model by analysis of risk factors in each process such as foundation, erection, structure, equipment finish and etc based on accident examples and investigation on actual condition in building. In addition, the safety management system was developed to perform risk assessment of construction and use it for effective safety training for labor.

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.12 no.2
• /
• pp.19-30
• /
• 2013

Low birthrate is causing a reduction in the number of students at kindergartens, elementary schools, middle schools and high schools nationwide and yet, school safety accidents are on a constant rise, which was reported to be 237 accidents a day on average in 2011. Such phenomenon is proving how the school safety policy is not doing what it was supposed to do. In order to decrease the school safety accidents, first, causes of the accidents should be analyzed and then, prevention measures should be designed. For that reason, the study looked into the present condition of the school safety accidents and safety accident theories and based on the results, "School Safety Accident Analysis Matrix Model" was proposed. With a matrix method of the accident types (17 of them) and hazard factors (9 of them) applied, the concerned model analyzed a total of 153 accident causes. In consideration of the results from the analysis, the study suggested that the education authority should open a safety organization and design a school safety policy that would systematically deal with safety education, prevention measures practice, accident investigation and analysis, and countermeasures practice as well.

• Journal of the Korean Society of Safety
• /
• v.14 no.2
• /
• pp.127-139
• /
• 1999

Two studies were conducted to examine the relationship between self-efficacy beliefs and industrial accidents. In the preliminary study, focus group interviews were conducted with employees working in manufacturing and construction sector, safety managers, and government officials to understand factors that were associated with industrial accidents. Based on interviews, a questionnaire survey was constructed to assess individual factors (such as self-efficacy beliefs, following safety procedures, life-satisfaction, and stress) that were identified as affecting industrial accidents (such as minor and major accident rates). The questionnaire were administered to a total of 917 respondents (542 employees working in the manufacturing and construction sector, 210 safety managers, and 165 government employee officials overseeing government regulations). The result indicated that three subscales of self-efficacy for employees (self-regulation, enlisting social support, and controlling the environment) were negatively correlated with the company's industrial accident rates. Moreover, those employees with higher self-efficacy were more likely to follow safety procedures and had higher life-satisfaction and lower stress levels. For safety managers, the self-efficacy beliefs were positively correlated with better implementation and higher effectiveness of the educational programs and negatively correlated with their company's accident rates.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.16 no.4
• /
• pp.63-68
• /
• 2008

Compared with past, helicopters have remarkably high level of safety and accidents due to mechanical defects are decreased about 15%. Most of their duties, however, are to commit at duty area which is hard to access. Because of them, collision probability is high and also has relatively higher accident rates than other aircraft with special mission. A result of analysis is that accident rate is relative high with prevention of disasters, putting out a fire and crop-dusting missions under 500ft. In addition, most of accidents are related with human factors. According to this, it is required to pilots who carry these mission that safety education and detailed analysis about their mission.

• International Journal of Safety
• /
• v.2 no.1
• /
• pp.45-49
• /
• 2003

In this paper, we investigated the relationship between the variables of the industrial accident factors and the manufacturing performances such as production quantity, quality, cost, and delivery. For this investigation, we collected the real data from 30 small/medium-sized manufacturing industries by performing a questionnaire survey and a on-site inter-view with the workers. Thirty industries were made up of 10 from each of the following three industries: metal processing, machinery manufacturing, and chemical products manufacturing. The data analysis was made using SPSS PC+. Based on the result of the analysis, we came to the tentative conclusion that only two variables such as work skill and load affected all four manufacturing performances and the rest of them two or three performances.