• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.10a
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• pp.73-74
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• 2016

Although various research is being carried out to prevent the construction accidents, the number of victims of construction site is increasing continuously. Therefore, the purpose of this study is construction accidents prediction applying the boosting algorithm to the construction domains. Boosting algorithm was applied to construct construction accident prediction model and application of the model was examined using actual accident cases. It is possible to support safety manager to manage and prevent accidents in priority using the model.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2483-2491
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• 2013

In order to identify and understand the crucial factors to induce traffic accident, causal relationships between diverse factors and traffic accident occurrence have been investigated continuously. It is one of most important issues all over the world to reduce the number of traffic accidents and deaths by them. Korea government is also stepping up their effort to reduce the number of traffic accidents and mitigate the severity of the accidents by establishing various traffic safety strategies. By introducing the five-day work week and increasing concern of leisure activities, the differences of trip characteristics between weekday and weekend is getting greater. According to this, the patterns and crucial factors of traffic accident occurrence in weekend appear differently from those in weekday. This study aims to understand major different factors affecting accident severity between weekday and weekend using 12,042 incident data occurred on freeways of Korea from 2006 to 2011. The model developed in this study estimated relationships among various exogenous factors of traffic accident by each type using SEM(Structural Equation Model). The result provides that road factors are related to the accident severity for weekday model, while environment factors affects on accident severity for weekend.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.1
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• pp.24-31
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• 2004

With Zohar(1980)'s research on safety climate and industrial safety, occupational safety and health literatures begin to emphasize the influence of organizational context. Based on this research trend, this paper tried to review the relationship between individual/ organizational factors and occupational accidents. Based on the responses from 643 manufacturing workers, this paper reviewed the relationship between antecedents(safety knowledge, safety motivation, safety education, and safety precaution activity) and safety consequences(accident parts, accident number, resting days). The results of statistical analysis showed that many antecedents have significantly negative relationships with safety consequences.

• Journal of Auto-vehicle Safety Association
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• v.13 no.3
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• pp.69-77
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• 2021

Although accident data from the National Police Agency and insurance companies do not know the vehicle safety, the damage level information can be obtained from the data managed by the bus credit association or the bus company itself. So the accident severity was analyzed based on the side impact accidents using accident repair cost. K-means clustering analysis separated the cost of accident repair into 'minor', 'moderate', 'severe', and 'very severe'. In addition, the side impact accident severity was analyzed by using an ordered logit model. As a result, it is appeared that the longer the repair period, the greater the impact on the severity of the side impact accident. Also, it is appeared that the higher the number of collision points, the greater the impact on the severity of the side impact accident. In addition, oblique collisions of the angle of impact were derived to affect the severity of the accident less than right angle collisions. Finally, the absence of opponent vehicle and large commercial vehicles involved accidents were shown to have less impact on the side impact accident severity than passenger cars.

• International Journal of Highway Engineering
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• v.16 no.4
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• pp.111-118
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• 2014

PURPOSES: The purposes are to analyze the pedestrian accident severity and to develop the accident models by arterial road function. METHODS: To analyze the accident, count data and ordered logit models are utilized in this study. In pursuing the above, this study uses pedestrian accident data from 2007 to 2011 in Cheongju. RESULTS : The main results are as follows. First, daytime, Tue.Wed.Thu., over-speeding, male pedestrian over 65 old are selected as the independent variables to increase pedestrian accident severity. Second, as the accident models of main and minor arterial roads, the negative binomial models are developed, which are analyzed to be statistically significant. Third, such the main variables related to pedestrian accidents as traffic and pedestrian volume, road width, number of exit/entry are adopted in the models. Finally, Such the policy guidelines as the installation of pedestrian fence, speed hump and crosswalks with pedestrian refuge area, designated pedestrian zone, and others are suggested for accident reduction. CONCLUSIONS: This study analyzed the pedestrian accident severity, and developed the negative binomial accident models. The results of this study expected to give some implications to the pedestrian safety improvement in Cheongju.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.13-19
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• 2010

Risk level for each construction work can be very important factors to establish advanced prevention measures. But it is important how to produce it. There are three different methods to set it up for construction situation. They are as follows; 1) occurrence frequency = the number of accident workers of each work kind / yearly accident workers 2) occurrence frequency = the number of accident workers of each work kind / yearly workers 3) occurrence frequency = the number of accident workers of each work kind / the total workers All these three concepts(=averaged concept)are analyzed. Additionally frequency based on discrete curve, and severity based on continuous curve are also combined for producing risk level with more scientific approach. This risk level can be very useful to make prevention plan or take measures at construction sites. This is study result can change existing risk level concept to new concept of it, namely rail way work and in-water work showed be high risk level and RC work be low risk level, different from the situation which we have thought commonly, so far.

• Proceedings of the Safety Management and Science Conference
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• 2010.04a
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• pp.141-147
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• 2010

Risk level for each construction work can be very important factors to establish advanced preventionmeasures. But it is important how to produce it. There are three different methods to set it up for consturuction situation. They are as follows; 1) occurrence frequency = the number of accident workers of each work kind / yearly accident workers 2) occurrence frequency = the number of accident workers of each work kind / yearly workers 3) occurrence frequency = the number of accident workers of each work kind / the total workers All these three concepts(=averaged concept)are analyzed. Additionally frequency based on discrete curve, and severity based on continuous curve are also combined for producing risk level with more scientific approach. This risk level can be very useful to make prevention plan or take measures at construction sites. This is study result can change existing risk level concept to new concept of it, namely rail way work and in-water work showed be high risk level and RC work be low risk level, different from the situation which we have thought commonly, so far.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.2
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• pp.561-571
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• 2014

This study analyzes traffic accident severity of old age drivers in fourteen cities and counties of Jeonbuk Province. It is assumed that traffic accident effecting factors have two staged structure by personal and driving environment and urban characteristics. Multilevel Analysis Model is used under the assumption of hierarchical characteristics to analyze factors effecting severity. As the driver's age increases after sixty-five years old, accident damages become severe. The drunk driving is likely to make traffic accident damage more severer. The number of fatal accident by old age drivers is about three time more than by no old age drivers. Old age drivers have higher number of night traffic accidents but severer ones in daytime. Old age drivers show the higher number of traffic accidents but severer ones in fine weather. Wet road surface also influences damage severity and especially old age drivers show higher serious damage and fatal than no old drivers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.39
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• pp.99-116
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• 1996

The production activity by human is accompanied by various accidents, resulting in human and property loss. If information on these industrial accident can be collected, organized and analyzed for a period of time and be used in the decision-making process for the purpose of preventing industrial accident, we will be able to get rid of industrial accident and prevent human and property loss and creat a pleasant industrial atmosphere. In order to achieve this goal, the collected information should be accurate, and trusted in the work place or government agency the information is being utilized. This research analyzed the problem in our nation's industrial accident statistics and estimated the number of accidents that are occurring and suggested improvement measures so that the industrial accident statistics can be calculated accurately.

• Journal of Korean Academy of Nursing
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• v.25 no.2
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• pp.362-371
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• 1995

There is no national system to manage, evaluate, and analyse the information about accidents, even though it is necessary for accident prevention policies and health promotion of the general public. The existing studies are, also limited as they focus only on particular group(for example : inpatients, emergency room patients) or on particular geographic areas. Thus the results of the studies cannot be ap-plied to the general public. In order to overcome these limitations, this research focuses on data collection and analysis from accident information for the general population. By providing the analysis on types and causes af accidents, this research aims to produce the basic data necessary for accident prevention policy development. The specific aims of this research are to : 1. Analyse the actual occurrences and characteristics of accidents. 2. Suggest for the accident prevention policies and safety education. Accident report form three major newspaper printed in Korea between January 1, 1989 and December 31, 1993 were collected, and the cause, place, time, and personal injury related to the accidents were classified and then analyzed by de-scriptive statistics. The results of this research conclude : 1. The number of accidents reported by the three newspapers were 2155. 2. The highest proportion of accidents were as follows ; occurred during the June-August(31.2%), Sunday(24.8%), and 5 p.m. (7.6%) of the day. 3. The highest proportion of the accident occurred in Seoul(33. l％), Kyunggi province(14.5%), Kangwon province (7.8％), and Kyungnam prov-ince(6.7%) were next highest. 4. The main causes include car accidents(32.4%), drowning(10.9%), falls(8.8%), explosion(7.1%), and poisoning(5.8%). 5. Slightly more than half of injuries(50.5%) and about two fifths of deaths(40.3%) were caused by car accidents. Therefore, the most serious type of accidents were car accidents. 6. The number of males in accidents were almost three times higher than that of females(males 72.3%, females : 27.7%). 7. The age group from 10 to 19 years old represents the highest proportion(21%) of accidents. 8. The number of the accidents in Korea, based on the information collected from the newspapers, is estimated to be 14, 367 per year. The number of in-juries is estimated to be 88, 480 persons, and the number of deaths 29, 007 respectively. It is said that ninety percent of accidents can be prevented. Several accidents prevention policies are suggested here. 1. Safety education should be done more actively throughtout life, with special emphasis on safety education for children. 2. Safety measures for children(halmets for cycling, children car seats, seats belts, and so on) should be emphasized. 3. An injury surveillance system should be initiated. The initiation of injury reporting system in each factory and school could contribute considerably to the reduction of accidents.