• Journal of Environmental Health Sciences
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• v.46 no.6
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• pp.726-734
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• 2020

Objectives: The aim of this study was to analyze and classify the characteristics of potential damage from hazardous chemical accidents in 229 administrative units in South Korea by reflecting the social and environmental characteristics of areas where chemical accidents can occur. Methods: A number of indicators were selected through preceding studies. Factor analysis was performed on selected indicators to derive factors, and cluster analysis was performed based on the factor scores. Results: As a result of the cluster analysis, 229 administrative units were divided into three clusters, and it was confirmed that each cluster had its own characteristics. Conclusions: The first cluster, "areas at risk of accident occurrence and spread of damage" was a type with a high potential for accident damage and a high density of hazardous facilities. The second cluster, "Urban infrastructure damage hazard areas" appeared to be a cluster with high urban development characteristics. Finally, the third cluster 'Urban and environmental damage hazard areas' appeared to be a cluster with an excellent natural environment. This study went further from the qualitative discussion related to existing chemical accidents to identify and respond to accident damage by reflecting the social and environmental characteristics of the region. Distinct from the previous studies related to the causes of accidents and the response system, it is meaningful to conduct empirical research focusing on the affected areas by analyzing the possibility of accident damage in reflection of the social and environmental characteristics of the community.

• Journal of the Korea Institute of Building Construction
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• v.21 no.1
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• pp.79-86
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• 2021

On the construction site, there exists frequently a high likelihood that a fire accident can lead to a large-scale disaster. In the previous studies, the diverse outcomes have been focused on the improvement of relative statutes and tried to realize the suppression and confrontation of the fire accidents. In this study, the limitations on the site were identified through prior research reviews, and the fire risk assessment checklist was proposed through the analysis of the massive accident cases. The checklist was divided into the prevention and minimization steps and developed into 16 categories of total risk factors. According to the results from the cases applied in this study, if the installation status is checked, such as removing combustibles, and broadcasting facilities for evacuation are installed, it is expected that the casualties will be minimized or zeroed. By developing a fire risk assessment checklist, this study provides the implications of the theoretical and realistic fire accident prevention, and supports the ways to minimize the damage resulted from the fire accidents on construction sites. In the further, deriving universe and common items about repeated occurrences of a work type will be needed as a subsequent research.

• Safety and Health at Work
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• v.13 no.2
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• pp.155-162
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• 2022

Background: Workers are exposed to several risks in academic laboratories due to the presence of potentially hazardous substances. The main objective of this study was to assess the prevalence of accident occurrence and associated risk factors among laboratory workers at the scientific laboratories of the public university in Lebanon and the impact of safety measures training and availability. Methods: In this observational study, a survey was conducted for one year in scientific laboratories at faculties of the public university. Results: Among the participants (N = 220), 45.0% have had accidents; the main cause was exposure to chemicals (73.7%) and more specifically by inhalation (45.4%). Females (85.9%) were more exposed to accidents than males. Laboratory workers with a master's degree, a full-time schedule, and more than ten years of experience were significantly more exposed to accidents (p < 0.05). A significant association was found between accident occurrence and training on management of hazardous products (p = 0.044), risks related to workplace (p = 0.030), eyewash and emergency shower (p < 0.001), first aid (p = 0.012), and facial protection availability (p = 0.019). In spite of the lack of safety culture and efficient training on laboratory safety, participants have shown a very good perception regarding safety measures to be applied in case of work accidents. Conclusion: Based on our findings, the prevalence of accident occurrence is elevated among lab workers at the public university. The impact of regular training on laboratory safety preventive measures is of great importance to ensure the efficiency of occupational health and safety in scientific laboratories.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.264-283
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• 2023

Unlike conventional vehicle traffic accidents, autonomous vehicles traffic accidents can be caused by various factors, including technical problems, the environment, and driver interaction. With the future advances in autonomous driving technology, new issues are expected to emerge in addition to the existing accident causes, and various scenario-based approaches are needed to respond to them. This study developed autonomous vehicle traffic accident scenarios by collecting autonomous driving accident reports, CA DMV collision reports, autonomous driving mode disengagement reports, and autonomous driving actual accident videos. The scenarios were derived based on the functional safety system failure modes of ISO 26262 and attempted to reflect the various issues of autonomous driving functions. The autonomous vehicle scenarios derived through this study are expected to play an essential role in preventing and preparing for various autonomous vehicle traffic accidents in the future and improving the safety of autonomous driving technology.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.1-9
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• 2024

In this paper, we propose a new approach by analyzing driver behavior and gaze changes within the vehicle in real-time to assess and predict the risk of traffic accidents. Utilizing data analysis and machine learning algorithms, this research precisely measures drivers' abnormal behaviors and gaze movement patterns in real-time, and aggregates these into an overall Risk Score to evaluate the potential for traffic accidents. This research underscores the significance of internal factors, previously unexplored, providing a novel perspective in the field of traffic safety research. Such an innovative approach suggests the feasibility of developing real-time predictive models for traffic accident prevention and safety enhancement, expected to offer critical foundational data for future traffic accident prevention strategies and policy formulation.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 1994.05a
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• pp.75-83
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• 1994

The purpose of this study was to analyze the factors of residential life management of apartment house, and to examine the tendency of demands and satisfaction according to the resident's characteristics. As the result, 5 factors of residential life management of apartment house were extracted. They are I. Residential life accommodation service, II. Residential life support service, III. Resident's activety support and announcement of management works. IV. Safety and order mainteanance, V. Precaution to accident.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.145-150
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• 2004

In this paper, the hazardous rail-crossings of 100 sites were selected by preliminary hazard analysis on the 1774 sites in Sep. 2002. The risk factors of rail-crossing were reviewed on the accidents happened in '94$\～$'02 years, and the accident progress mechanism due to 5 types of rail-crossing structure was developed by the cause-result relationship analysis. Method coping with the risk factors was proposed for improving safety of rail-crossing.

• Journal of the Ergonomics Society of Korea
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• v.20 no.2
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• pp.99-111
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• 2001

Human factors is a key issue in the maritime industry including ship design and navigation safety. Human factors for ship design is to optimize safety and convenience of crews and passengers. And human factors for navigation safety is to minimize marine accident occurrence by human and organizational error. There are several technical requirements to incorporate human factors and marine system Risk analysis. human behaviour analysis and human M&S(modeling and simulation) are examples of technical requirements. This paper provides the key issues and technologies of human factors for ship design and navigation safety.

• Journal of Korean Society of Transportation
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• v.22 no.4 s.75
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• pp.31-42
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• 2004

This study develops Accident Modification Factors (AMF) of countermeasures with Baysian method which are newly proposed for reducing Roadway-Rail grade crossing accidents. This study proposes a new "Bayesian Analytical Framework" for countermeasure assessment which combines "Subjective" Prior Information with "Logical" based Information. The newly proposed "Bayesian Analytical Framework" consists of the following three steps: The 1st step - Countermeasure Selection, Choice of Participants, Selection of Crashes; The 2nd step-Development of Crash History Manual and Countermeasure Evaluation Manual; The 3rd step-Development of AMFs through sound statistical tests. This study used the Komogorov-Smirnov(K-S) Test to determine whether two unknown distribution functions associated with the two populations are identical. The results of the study are that individual responses did not meet the K-S test of identical distributions. while individual vs. group distributions are identical. This indicates that combining the input of several people reduces the impact of individual subjectivity and assumptions and is important for developing a repeatable distribution to develop sound AMFs of countermeasures for reducing Roadway-Rail grade crossing accidents. The procedures of the AMF development conducted in this study can be used to estimate the safety effects of countermeasures for road segments and intersections, in addition to Roadway-Rail grade crossings.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.2
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• pp.417-426
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• 2015

The representative design elements of the road geometric structure are longitudinal slope, horizontal curve radius, super elevation, and transition curve. According to the function of a road, the design standards of these elements is applied by diverse combinations of them. This study divided expressway into homogeneous segments based on longitudinal slope and horizontal curve radius. And then, data required for analysis were matched to each segment, and the safety performance function was built by using the established data. crash modification factors which can explain traffic accident exposure rate were calculated. When the threshold value of horizontal curve radius R=1,000 m was set to 1.0, the crash modification factors at R=300 m was calculated as 1.33, which means that the accident exposure rate is increased by 33%. When the threshold value of the longitudinal slope 0% was set to 1.0, the crash modification factors demonstrated that the accident exposure rate decreases on the upward slope and the accident exposure rate increases on the downward slope. The results of this study can be used as basic information in the design of expressway geometries during the improvement or the construction of expressways.