• Title/Summary/Keyword: school accidents

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Analysis of accidents due to Fires in Korea, 1997-2006 (1997-2006, 한국에서 발생한 화재사고 분석)

  • Chung, Yeong-Jin
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2009.04a
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    • pp.526-533
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    • 2009
  • Fire accidents reported to the National Emergency Management Agency (NEMA) during 1997.2006 in Korea are investigated. A survey of 23523 accidents due to fires is presented. Statistical comparisons based on the type of accidents and the causes of fires are analysed. The results indicated that 27.5% of the total number of fires are residental houses and apartments and 18.0% were motor vehicles. Electricity was classified to be the highest cause of fire ignition sourses and smoking was the second source of ignition.

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Exploring the Triangular Relationship: Occupational Diseases, Work-Related Illness, and Accidents in the Construction Sector

  • Yi, Kyoo-Jin
    • Journal of the Korea Institute of Building Construction
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    • v.23 no.6
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    • pp.875-885
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    • 2023
  • This research delves into the evolving interplay between occupational diseases, work-related illnesses, and accidents in the construction industry, focusing on the past twenty years. One significant discovery is the 19-fold escalation in reported occupational diseases, prompting an examination of their root causes and connections to workplace environments. Frequently encountered work-related ailments include physically strenuous tasks, low back pain, and cerebrovascular issues, highlighting the need for robust prevention and management approaches. Predominantly, noise-induced hearing loss and pneumoconiosis are the most common occupational diseases. The study unveils notable correlations between specific work-related illnesses and accidents, indicating the necessity for bespoke safety measures. Additionally, a pronounced association between work-related illnesses and occupational diseases offers insights into underlying risk factors. Remarkably, the findings propose a bidirectional link between occupational diseases and accidents, challenging traditional beliefs about causality. These insights are pivotal for enhancing safety protocols, focusing on preventive measures, and foreseeing occupational diseases that may arise following accidents in the construction industry.

Implementation of an Intelligent Automatic Notification System Based on Bluetooth Beacons and Smart Phones

  • Amsuk Oh
    • Journal of information and communication convergence engineering
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    • v.22 no.3
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    • pp.237-241
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    • 2024
  • In this study, we aim to implement an intelligent automatic notification system based on Bluetooth beacons and smartphones to prevent accidents caused by children being left in vehicles while commuting to school during summer or winter. This is a problem that is emerging as safety accidents occur owing to negligence in vehicles. Although teachers solutions, such as checking children's attendance, safety accidents occur freq uently every year. Because the continuous occurrence of safety accidents, parents' anxiety about accidents is increasing, and various accident prevention measures are being developed to solve this problem. However, these methods are difficult to implement as teachers have to manage a large number of children. To solve this problem, this study implements an intelligent automatic notification system based on Bluetooth beacons and smartphones. This notification system attaches a relatively low-power Bluetooth beacon to the child's belongings to recognize boarding and disembarking using the teacher's smartphone, and sends a message to the parent's smartphone.

The Effects of Individual Accidents and Neighborhood Environmental Characteristics on the Severity of Pedestrian Traffic Accidents in Seoul (개별 사고특성 및 근린환경 특성이 서울시 보행자 교통사고 심각도에 미치는 영향)

  • Ko, Dong-Won;Park, Seung-Hoon
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.8
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    • pp.101-109
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    • 2019
  • Korea's transportation paradigm is shifting from a vehicle-oriented transportation plan to a pedestrian-friendly environment that emphasizes walking safety. However, the level of pedestrian traffic accidents in Korea is still high and serious. The purpose of this study is to investigate factors affecting the severity of pedestrians traffic accidents using the multilevel logistic regression model based on 2015-2017 pedestrian accidents data provided by the Traffic Accident Analysis System(TAAS). The main results of the multilevel logistic regression model showed that 89% of pedestrian traffic accidents in Seoul were explained by individual characteristics such as drivers and pedestrians, and 11% were explained by neighborhood environmental characteristics. The results are as follows : In the individual characteristics such as pedestrians and drivers, the older the pedestrians and the drivers, the higher the traffic accident severity. The severity of traffic accidents was high when the pedestrians were female and the drivers were male. In the case of accident types, traffic accidents were more serious in the cases of heavy vehicles, inclement weather, and occurring at intersections and crosswalks. The results of the neighborhood environmental characteristics are as follows. The intersection density and the crosswalk density tended to reduce the severity of traffic accidents. On the other hand, the traffic light density and the school zones were founded to related to the higher level of traffic accident severity. This study suggests that both individual and neighborhood environmental characteristics should be considered together to prevent and reduce the severity of pedestrian traffic accidents.

A Study on the Cause Analysis of Human Error Accidents by Railway Job

  • Byeoung-Soo YUM;Tae-Yoon KIM;Sun-Haeng CHOI;Won-Mo GAL
    • Journal of Wellbeing Management and Applied Psychology
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    • v.7 no.1
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    • pp.27-33
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    • 2024
  • Purpose: This study investigates human error accidents in the Korean railway sector, emphasizing the need for systematic management to prevent such incidents, which can have fatal consequences, especially in driving-related jobs. Research design, data and methodology: This paper analyzed data from the Aviation and Railway Accident Investigation Board and the Korea Transportation Safety Authority, examining 240 human error accidents that occurred over the last five years (2018-2022). The analysis focused on accidents in the driving, facility, electric, and control fields. Results: The findings indicate that the majority of human error accidents stem from negligence in confirmation checks, issues with work methods, and oversight in facility maintenance. In the driving field, errors such as signal check neglect and braking failures are prevalent, while in the facility and electric fields, the main issues are maintenance delays and neglect of safety measures. Conclusions: The paper concludes that human error accidents are complex and multifaceted, often resulting from a high workload on engineers and systemic issues within the railway system. Future research should delve into the causal relationships of these accidents and develop targeted prevention strategies through improved work processes, education, and training.

Insights for Improving Road Safety : Focusing on Vehicle Accidents in Daegu Metropolitan City

  • Mee Qi Siow;Yang Sok Kim;Mi Jin Noh;Choong Kwon Lee;Sang Ill Moon;Jae Ho Shin
    • Smart Media Journal
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    • v.12 no.11
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    • pp.95-102
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    • 2023
  • Road accidents not only caused loss of human lives but also costed 3% of gross domestic product in most of the countries. The road accidents pose significant challenges to public safety and urban transportation management. There is a need to identify the high-risk area of accidents along with the critical day of week and vulnerable time period in order to implement effective preventive measures and optimizing the resource allocation. We collected 5,012 accident data from 대구교통종합정보. This study identified the high-risk locations, days of week, and time periods for accidents in Daegu and estimated the conditional probabilities of accidents occurring based on combinations of location, day of the week, and time period. The result is visualized in the form of dashboard in Tableau. This study holds substantial practical significance for urban planners, transportation authorities, and policymakers in Daegu to strategically allocate resources for traffic management, law enforcement, and targeted safety campaigns.

A Comparative Analysis of the Rental-car and non-Commercial Passenger Car Accident Characteristics in Jeju Island (제주지역 렌터카 및 비사업용 승용차 사고특성 비교분석)

  • KWON, Yeongmin;JANG, Kitae;SON, Sanghoon
    • Journal of Korean Society of Transportation
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    • v.35 no.2
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    • pp.105-115
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    • 2017
  • Each year, a number of tourists visit Jeju Island, a popular tourist destination in the Republic of Korea. A large portion of the tourists (about 61%) use a rental car as a means of transportation. With this reason, the number of rental cars registered in Jeju was 15,517 in 2011, while the total number of the rental car has rapidly increased to 26,338 in 2015. For the same period, the number of rental car involved traffic accidents has been doubled. Thus, this study aims to analyze the rental car accidents' characteristics, clarifying primary factors related to rental car accidents in Jeju Island. To do this, 918 rental car accidents and 4,201 non-commercial passenger car accidents that occurred in Jeju island over the two years (2014-2015) were compared, using statistical methods such as chi-square test and z-test. The results show that the characteristics of rental car involved accidents are different from those caused by the passenger cars. Most of the rental car accidents in Jeju were caused by young drivers and drivers who had just obtained their driver's licenses. This study finds that driver immaturity, unfamiliar geography, and driving an unfamiliar vehicle are the main causes of the rental car accidents. Statistical analysis confirms that the characteristics of these accidents appeared significantly different from the passenger cars in terms of human and environmental factors. On the other hand, there is no clear evidence that vehicle-related characteristics are different between rental car and non-commercial passenger car accidents. The implications on transportation safety analysis and effective solutions to prevent rental car traffic accidents are discussed.

Safety Accident Prevention Activities & Actual Conditions According to Physical Education Teacher's Value Orientation (체육교사의 가치정향에 따른 안전사고 예방활동 및 실태)

  • Jeong, Suk-Bum;Park, Young-Soo
    • The Journal of Korean Society for School & Community Health Education
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    • v.4
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    • pp.79-95
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    • 2003
  • This dissertation aims to analyze various safety accidents taking place during physical education class according to physical education teacher's value orientation, to identify teacher's value orientation that can minimize safety accidents, and to provide basic materials for safe and smooth class management. For this purpose, data have been collected from 261 physical education teachers at some middle and high schools in G City in Kyung-Ki Province and Busan Metropolitan City. The materials were treated as follows: The variables on demographic characteristics of physical education teachers are determined by t-test ; The analysis of one-way ANOVA and relationship between value orientation and safety accident prevention activities was conducted through Pearson's linear correlation analysis and multiple regression; The analysis of the relationship between value orientation and actual conditions of safety accidents was conducted through logistic regression. First, there is almost no awareness difference of physical education teachers' value orientation according to demographical variables. The value orientation physical education teachers consider to be the most important is, however, mainly 'mastery of disciplinary lesson.' There is a statistically significant difference in safety accident prevention activities according to demographical variables. Teachers' focuses in class contents showed a significant difference according to teaching experience and working area, while the dependency on facility has a significant difference according to teaching experience and school type. Second, there is no correlation between physical education teacher's value orientation and safety accident prevention activities because there is virtually no statistically significant difference between them. It means that safety accident prevention activities are not related with on which teachers place emphasis among mastery of disciplinary lesson, social reconstruction, self-realization, ecological integration and value orientation on learning process. Third, the analysis of safety accident prevention activities according to physical education teachers' value orientation revealed that the lower value orientation in social reconstruction is, the more safety accidents teachers experience. It is also found that crashes among students, ball games and leg injuries are inter-related with social reconstruction in value orientation, over-motivation and unskilled motor function ; athletic sports with value orientation on learning process and safety prevention training ; unskilled motor functions with value orientation in ecological integration and disobedience to teacher's directions ; winter accidents with mastery of disciplinary lesson in value orientation. In conclusion, the research indicates that physical education teacher's value orientation according to demographical variables didn't show any significant difference, while one according to safety accident prevention activities showed significant difference. Besides, physical education teachers' value orientation is not related to safety accident prevention activities, but the relationship between value orientation and actual conditions of safety accidents showed correlations according to each variable. Especially, teachers with lower value orientation in social reconstruction experienced more safety accidents. Therefore, physical education teachers can manage physical education class more safely with more emphasis on value orientation in social reconstruction.

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The Study of Prediction Model of Gas Accidents Using Time Series Analysis (시계열 분석을 이용한 가스사고 발생 예측 연구)

  • Lee, Su-Kyung;Hur, Young-Taeg;Shin, Dong-Il;Song, Dong-Woo;Kim, Ki-Sung
    • Journal of the Korean Institute of Gas
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    • v.18 no.1
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    • pp.8-16
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    • 2014
  • In this study, the number of gas accidents prediction model was suggested by analyzing the gas accidents occurred in Korea. In order to predict the number of gas accidents, simple moving average method (3, 4, 5 period), weighted average method and exponential smoothing method were applied. Study results of the sum of mean-square error acquired by the models of moving average method for 4 periods and weighted moving average method showed the highest value of 44.4 and 43 respectively. By developing the number of gas accidents prediction model, it could be actively utilized for gas accident prevention activities.

Search on the Human Vital Signal Using MP-150 (MP-150을 이용한 신체반응 신호처리 기법 고찰)

  • Quan, Vu Minh;Kim, Dae-Sik
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.07a
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    • pp.245-247
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    • 2015
  • Nowadays, the issue of maritime safety is an extremely important issue in the maritime industry and human' stress is one of the biggest causes of maritime accidents. The purpose of this study is to analyze the effects of the human' stress and find out the relationship between it and the risk of maritime accidents occur through the assistance of BIOPAC MP-150 and BIONOMADIX system.

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