• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.100-118
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• 2021

In this study, PM accidents (1,603case) and bicycle accidents (14,672case) that occurred in the last three years were analyzed to determine the characteristics of PM traffic accidents. In particular, PM traffic accidents were divided into perpetrators and victims to determine the characteristics in detail. For PM accidents, the analysis was conducted on the status of each road grade, road type, weather condition, accident type, day and night occurrence, and vehicle type. The number of PM accidents that occurred in 2019 increased by 129%, and deaths increased by more than 200% compared to the previous year. The proportion of pedestrian accidents among PM traffic accidents was higher than that of bicycle accidents. Therefore, regulations on PM traffic are necessary. For the 20 deaths of PM, a detailed analysis was conducted to analyze the factors of traffic accidents. PM fatalities occurred in 50% of vehicle accidents, and 7 out of 10 vehicle accidents occurred at night. This is believed to have been caused by falling or overturning due to an obstacle, such as a depression in the road pavement or a speed bump.

• Journal of Korean Society of Transportation
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• v.26 no.2
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• pp.7-15
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• 2008

New Car Assessment Program(NCAP) provides consumers with vehicle safety information, primarily front and side crash rating results, and more recently rollover ratings, to aid consumers in their vehicle purchase decisions. NCAP is a system to improve driver and passenger safety by providing market incentives for vehicle manufacturers to voluntarily design their vehicles to better protect drivers and passengers in a crash and be less susceptible to rollover, rather than by regulatory directives. NCAP have been performed since 1999 in Korea by the government in order to reduce fatalities and injuries caused by traffic accidents. Although as the number of vehicles models increases, more vehicle models are required to be test and NCAP is evaluated as a valuable system for vehicle safety, the expansion of the system is slow. It looks like that the benefit of NCAP quantitatively was not verified. In this study, based on the idea that the benefit of the NCAP is defined as the decrease of traffic accident severity by improving vehicle safety, a methodology to analyze the effectiveness of NCAP quantitatively in terms of traffic safety was developed. According to the developed methodology, the reduced numbers of fatalities and injuries were 1.51 and 466 in 2005.

• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.3
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• pp.293-310
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• 2020

The purpose of this study is to present the most effective smoke exhaust mode by comparing the quantitatively evaluated risks according to the smoke exhaust mode when a train fire occurs in a subway platform. Therefore, applying the typical subway platform as a model, train fire scenarios are developed with the evacuation start time and location of the fire train for each exhaust mode. The fire accident rates (F) are calculated and the number of fatalities (N) was quantitatively estimated by fire analysis and evacuation analysis for each scenario. In addition, the F/N curve compared with the social risk assessment criteria and the following conclusions were obtained. In the event of a train fire at the subway station platform, the evacuation must start up within 600 s in maximum to ensure the evacuees' safety. To secure evacuation safety, it is advantageous to operate the HVAC system of the platform in the air-supply mode at station without TVF. Comparing the F/N curve for each exhaust mode with the social risk criteria, it turned out that the risk significantly exceeds the social risk criteria in case of no mechanical ventilation. As a result, this paper shows that the ventilation mode in which TVF are exhausted and HVAC system is operated in the pressurized mode are the most effective smoke exhaust mode for ensuring evacuation safety.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.10a
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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.

• Journal of the Korean Society of Safety
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• v.36 no.3
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• pp.31-39
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• 2021

In Korea, more than half of work-related fatalities have occurred on construction sites. To reduce such occupational accidents, safety inspection by government agencies is essential in construction sites that present a high risk of serious accidents. To address this issue, this study developed risk prediction models of serious accidents in construction sites using five machine learning methods: support vector machine, random forest, XGBoost, LightGBM, and AutoML. To this end, 15 proactive information (e.g., number of stories and period of construction) that are usually available prior to construction were considered and two over-sampling techniques (SMOTE and ADASYN) were used to address the problem of class-imbalanced data. The results showed that all machine learning methods achieved 0.876~0.941 in the F1-score with the adoption of over-sampling techniques. LightGBM with ADASYN yielded the best prediction performance in both the F1-score (0.941) and the area under the ROC curve (0.941). The prediction models revealed four major features: number of stories, period of construction, excavation depth, and height. The prediction models developed in this study can be useful both for government agencies in prioritizing construction sites for safety inspection and for construction companies in establishing pre-construction preventive measures.

• Journal of the Society of Disaster Information
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• v.9 no.4
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• pp.413-422
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• 2013

This study evaluated the fire safety code elements through analyze the loss of life when the fire occurred in the facility sprinklers installed evaluated. And through comparison with national fire safety code elements and standards of NFPA 13 in the United States, Was looking for ways to improve for Life and property damage. In the United States, in some cases, if you do not install the sprinkler are installed as per the fire death rate compared to 83 % lower. By contrast, If the domestic rate of 280 % fatalities were 3.37 times than the United States. This lack of fire performance were analyzed uniform occupancy classification, the amount of source of water supply, live not consider the density according to the standard number and the horizontal distance that causes the installation of sprinkler facilities were analyzed.

• Journal of the Korean Institute of Gas
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• v.22 no.3
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• pp.20-31
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• 2018

There was an amazing growth in the korean shipbuilding industry considering the industrial magnitude and the technical level. On the contrary of the growth, there are a number of accidents in the shipbuilding yard. According to the statistic data of the industrial accident in the last 7 years, the number of accidental fatalities in shipbuilding industries are 1.48 ‱ which are over more than doubles of the average in the Korean industries, 0.66 ‱. Thus, through an accident investigation of fire and explosion case during painting work in the tank of the crude oil carrier, it have been tried to diagnose actual conditions in the shipbuilding yards.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.3
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• pp.68-83
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• 2019

The number of pedestrian traffic accident fatalities is three times the number of car accidents in South Korea. Serious accidents are caused especially at intersections when the vehicle turns to their right. Various pedestrian collision warning services have been developed, but they are insufficient to prevent dangerous pedestrians. In this study, P2CWS is developed to warn approaching vehicles based on the pedestrians' characteristics. In order to evaluate the performance of the service, actual pedestrian data were collected at the intersection of Daejeon, and comparative analysis was carried out according to pedestrian characteristics. As a result, the performance analysis showed a higher accordance when the characteristics of the pedestrian is considered. Accordingly, we can conclude that identifying pedestrian characteristics in predicting the pedestrian crossing is important.

• Journal of the Korean Society of Safety
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• v.35 no.4
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• pp.64-73
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• 2020

As Korean government and safety-related organizations make continuous efforts to reduce the number of industrial accidents, accident rate has steadily declined since 2010, thereby recording 0.48% in 2017. However, the number of fatalities due to industrial accidents was 1,987 in 2017, which means that more efforts should be made to reduce the number of industrial accidents. As an essential activity for enhancing the system safety, accident analysis can be effectively used for reducing the number of industrial accidents. Accident analysis aims to understand the process of an accident scenario and to identify the plausible causes of the accident. Accident analysis offers useful information for developing measures for preventing the recurrence of an accident or its similar accidents. However, it seems that the current practice of accident analysis in Korean manufacturing companies takes a simplistic accident model, which is based on a linear and deterministic cause-effect relation. Considering the actual complexities underlying accidents, this would be problematic; it could be more significant in the case of human error-related accidents. Accordingly, it is necessary to use a more elaborated accident model for addressing the complexity and nature of human-error related accidents more systematically. Regarding this, HFACS(Human Factors Analysis and Classification System) can be a viable accident analysis method. It is based on the Swiss cheese model and offers a range of causal factors of a human error-related accident, some of which can be judged as the plausible causes of an accident. HFACS has been widely used in several work domains(e.g. aviation and rail industry) and can be effectively used in Korean industries. However, as HFACS was originally developed in aviation industry, the taxonomy of causal factors may not be easily applied to accidents in Korean industries, particularly manufacturing companies. In addition, the typical characteristics of Korean industries need to be reflected as well. With this issue in mind, we developed HFACS-K as a method for analyzing accidents happening in Korean industries. This paper reports the process of developing HFACS-K, the structure and contents of HFACS-K, and a case study for demonstrating its usefulness.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.33-43
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• 2022

The number of car crashes increases along with the increasing number of vehicles. Hence, diverse initiatives on traffic accidents have been implemented, targeting zero crash fatalities. According to the 3rd Traffic Safety Master Plan of 2016, the current standard selecting road accident black spots prioritizes locations with the high cumulative death toll. While this standard is suitable for roads that a city government manages to some extent, it is not suitable for roads less than 20 meters that a borough (Gu) handles. The roads under the supervision of a borough do not have enough death toll, and thus improvements on its road accident black spots are highly limited. In addition, discovering the causes of traffic accidents is not easy when the number of car accidents is obtained by considering only fatal accidents, which are relatively low in number. Therefore, including all traffic accidents might identify causes of accidents and result in better advancements. Therefore, this research follows rational decision-making and suggests new National Traffic Safety Master Plan standards. These new standards are obtained by comparing accident costs between the location of fatal crashes and road accident black spots. The analysis result shows that considering all types of accidents yields better results. For example, a Three-way Intersection in front of Zion Day Care Center, one of the selected spots under the current standard, has lower road crash costs than Sinchon Intersection, a selected spot under a new standard. Therefore, the study concludes that the standards to select road accident black spots need to include traffic accident severity and road crash costs.