• Journal of the Korea Safety Management & Science
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• v.25 no.3
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• pp.37-43
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• 2023

Since 2024, small business are also going to be ruled under the Serious Accident Punishment Act. As the scope of the law expands, the small logistics companies are required to pay more attention on preventing serious accidents on the field. Freight vehicle accidents can cause personnel accidents and cargo accidents which are the two serious accidents that the Serious Accident Punishment Act is trying to prevent. The purpose of this research are to study the factors that cause the serious accidents that happens in the small logistics companies and to suggest preventive. The results of the study shows that fall prevention is the top-priority and then driving experience, safety management, and cargo driving hours. However, the gaps between the evaluation values of each are not huge, which means all the preventives are significant.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.31-32
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• 2022

The construction industry has more safety accidents than other industries. Although there have been more attempts to reduce safety hazards in the industry such as the enforcement of the "Serious Accidents Punishment Act (SAPA)", construction accident has not been reduced enough. In this study, analysis of safety risk factors has been made through Latent Dirichlet Allocation (LDA)-based topic modeling. Risk analysis in construction site would be improved with natural language processing and topic modeling.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.407-408
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• 2023

This article proposes a method to assess construction safety risk during the construction phase based on accident loss costs. Risk assessments for hazardous construction work are required by law, but they lack quantitative criteria. To address this, a survey estimated loss costs due to fatalities in the construction industry, finding labor loss cost and delay reimbursement cost to be the largest factors. The proposed method uses algorithm to calculate expected accidents and risk levels based on project characteristics, work methods, personnel, and environment data. This method is expected to enhance the reliability and usability of risk assessments during the construction phase of construction projects.

• 한국항공운항학회:학술대회논문집
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• 2006.05a
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• pp.1-4
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• 2006

• 한국항공운항학회:학술대회논문집
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• 2005.11a
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• pp.64-68
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• 2005

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.315-324
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• 2007

• 한국항공운항학회:학술대회논문집
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• 2006.11a
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• pp.58-60
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• 2006

• Proceedings of the Korean Nuclear Society Conference
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• 1999.05a
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• pp.193-193
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• 1999

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.3
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• pp.1-17
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• 2018

Over the past five years (2010-2014), the total number of traffic accidents has decreased from 226,878 to 223,552 with decrease of 0.37 percent each year. The death toll has also decreased from 5,505 to 4,762. However, the number of rental car accidents and fatalities has been steadily increased. Despite of its growth, no previous study has been conducted on rental car accident severity. This study analyzed data of 18,050 rental car accidents in South Korea collected from 2010 to 2014 and then processed in order to identify which factors could affect the accident severity. Seventeen factors related to rental car accident severity were grouped into four categories: driver, vehicle, roadways and environment. As a result of the ordered probit model analysis, fourteen variables excluding age, intersection, and day of week were found to affect the severity of rental car accidents. The results of the study summarized as follows. First of all, violation of traffic regulations such as speeding increase the severity of rental car accidents. Secondly, rental accident severity is higher at curved sections of complicated roadway, which the driver's field of view is impaired. The results of this study can be used to reduce the severity of rental car accidents in transportation safety.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.374-388
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• 2016

In Jeju-Do, there is the 1100 Road, 516 Road, and Bijarimro, which are typical mountain sight-seeing roads in Jeju. These roads are local roads that have been the location for many traffic accidents. This study focused on these roads, categorized the type of traffic accident and analyzed the accident characteristics. The major accident factors were analyzed through trip AHP analysis, Comparative analysis of the velocity distribution and the factors affecting traffic accidents were analyzed. Tourists took many trips on these roads. The mixing rate of the rental cars was 36.70%~71.60% in 1100 road and Bijarimro. Currently, these local roads are regulated by a speed limit of 60km/h. However, it might be necessary to reduce the speed limit to 40km/h considering the geometric line form of the road and the climate in these areas. The speed limit of more than 40km/h is found 87.0% on 516 Roads, 88.57% on 1100 roads, and 93.1% on Bjarimro, In these roads, the speed ratio is higher as described above. Therefore, these roads have been found to have a higher risk of traffic accidents by overspeeding driving. The overspeed driving ratio of these roads was 87.0%~93.1%, The overspeed driving enforcement method at one spot has only the effect of reducing the speed at that enforcement place; the effect cannot be expected for the other places or sections. It is necessary to introduce a section overspeed driving enforcement system utilizing the average velocity in these areas to prevent traffic accidents.