• Title/Summary/Keyword: Analyzing accidents

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An Analysis on the Spatial Pattern of Local Safety Level Index Using Spatial Autocorrelation - Focused on Basic Local Governments, Korea (공간적 자기상관을 활용한 지역안전지수의 공간패턴 분석 - 기초지방자치단체를 중심으로)

  • Yi, Mi Sook;Yeo, Kwan Hyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.1
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    • pp.29-40
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    • 2021
  • Risk factors that threaten public safety such as crime, fire, and traffic accidents have spatial characteristics. Since each region has different dangerous environments, it is necessary to analyze the spatial pattern of risk factors for each sector such as traffic accident, fire, crime, and living safety. The purpose of this study is to analyze the spatial distribution pattern of local safety level index, which act as an index that rates the safety level of each sector (traffic accident, fire, crime, living safety, suicide, and infectious disease) for basic local governments across the nation. The following analysis tools were used to analyze the spatial autocorrelation of local safety level index : Global Moran's I, Local Moran's I, and Getis-Ord's G⁎i. The result of the analysis shows that the distribution of safety level on traffic accidents, fire, and suicide tends to be more clustered spatially compared to the safety level on crime, living safety, and infectious disease. As a result of analyzing significant spatial correlations between different regions, it was found that the Seoul metropolitan areas are relatively safe compared to other cities based on the integrated index of local safety. In addition, hot spot analysis using statistical values from Getis-Ord's G⁎i derived three hot spots(Samchuck, Cheongsong-gun, and Gimje) in which safety-vulnerable areas are clustered and 15 cold spots which are clusters of areas with high safety levels. These research findings can be used as basic data when the government is making policies to improve the safety level by identifying the spatial distribution and the spatial pattern in areas with vulnerable safety levels.

A Study on Paradigm Shift of Ship Inspection System (선박검사제도 패러다임 전환에 관한 고찰)

  • Song, Byung-Hwa;Lee, Chang-Hyun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.1
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    • pp.30-38
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    • 2022
  • According to the United Nations Convention on the Law of the Sea (Article 94), the flag state must fulfill its overall role to ensure maritime safety and operate the ship inspection system as a related measure. The Korean government (Ministry of Ocean and Fisheries) has implemented policies for reducing marine accidents to promote maritime safety; however, the target goal has not been achieved. The ship inspection system is a measure to prevent marine accidents, and for the effective operation of the system, a sufficient understanding of the origin of the ship inspection system is required. In this study, the trend of the international ship inspection system was identified by analyzing ship inspection system origins and the history of the system's paradigm shift. The recent international ship inspection system paradigm confirms international standardization and the active safety management of ship companies are becoming increasingly prominent. Based on this, the introduction of the 'PDCA cycle-based self-inspection system' is presented to the current domestic ship inspection system. This is a new type of inspection system that establishes the roles of interested parties based on the basic philosophy of the ISO 9000 series to improve the ef ectiveness of maritime safety. Additionally, the necessity for a non-face-to-face ship inspection system has emerged because of the COVID-19 pandemic. Hence, the transition to a 'mobile application-based ship inspection system' is proposed to accommodate the rapid development of information communications technology.

A Study on the Reduction of Falling Deaths Using 4M (4M을 활용한 떨어짐 사망사고 저감 방안 연구)

  • Kim, Seung Eun;Park, Jong Young;Kim, Young Kweon
    • Journal of the Society of Disaster Information
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    • v.17 no.1
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    • pp.143-153
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    • 2021
  • Purpose: The purpose of this study was to analyze data from the Ministry of Health, Safety and Health and the Ministry of Employment and Labor, and the total number of deaths (disease + accidents) reached 2,020 in 2019 and the estimated economic loss was 27.6 trillion won. This is believed to be the time to present improvements to ensure that economic loss estimates are steadily increasing as in Table 1, and that government-level losses can be drastically reduced. Method: In this study, factors were selected through prior research, and reliability analysis, technical statistics and correlation analysis, and multi-term analysis were conducted through the Jamovi program for the analysis of results. Result: Multiple session analysis was conducted to verify the research theory indicated in this study, and the analysis showed that mechanical and management factors did not affect the fall death accident of the opening, and human factors, material and environmental factors had a static effect. In addition, mechanical and administrative factors do not affect the fall of the outer wall, and human and material and environmental factors have a static effect. Conclusion:: As a result of analyzing 450 falling deaths over the past 13 years among the data posted to the Korea Health and Safety Corporation, the most common causes of falling deaths were the openings and outer walls.

Analysis of the Damaged Range Caused by LPG Leakage and Vapor Clouds Considering the Cold Air Flow (찬공기 흐름을 고려한 LPG 누출 및 증기운에 의한 피해 영향 범위 분석)

  • Gu, Yun-Jeong;Song, Bonggeun;Lee, Wonhee;Song, Byunghun;Shin, Junho
    • Journal of the Korean Institute of Gas
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    • v.26 no.4
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    • pp.27-35
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    • 2022
  • When LPG leaks from the storage tank, the gas try to sink to the ground because LPG is heavier than air. The gas easily creates vapor clouds causing aggressive accidents in no airflow. Therefore, It is important to prevent in advance by analyzing the damaged range caused from LPG leakage and vapor clouds. So, this study analyzed the range of damaged by LPG leakage and vapor clouds with consideration of the cold air flow which is generated by the topographical characteristics and the land use status at night time in the Jeju Hagari. As a result of the cold air flow using KLAM_21, about 2 m/s of cold air was introduced in from the southeast due to the influence of the terrain. The range of damaged by LPG leakage and vapor cloud was analyzed using ALOHA. When the leak hole size is 10 cm at the wind speed of 2 m/s, the range corresponding to LEL 60 % (12,600 ppm) was 61 m which range is expected to influence in nearby residential areas. These results of this study can be used as basic data to prepare preventive measures of accidents caused by vapor cloud. Forward, it is necessary to apply CFD modeling such as FLACS to check the vapor cloud formation due to LPG leakage in a relatively narrow area and to check the cause analysis.

A Pattern Analysis on the Possibility of Near Miss Connection in Construction Sites (건설현장의 아차사고 연결가능성에 대한 패턴분석)

  • Sang Hyun Kim;Yeon Cheol Shin;Yu Mi Moon
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.216-230
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    • 2023
  • Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

Study on the Risk Assessment of Collision Accidents Between Island Bridge and Ship Using an Image Processing Method (영상처리기법을 활용한 연도교와 선박간의 충돌사고 위험성 평가에 관한 연구)

  • Da-Un Jang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.7
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    • pp.1111-1119
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    • 2022
  • Tourism projects through islands in the waters of Sinan-gun became active, and as a result, a total of 13 marine bridges connecting islands were completed. However, the marine bridge constructed in the fairway is dangerous for traffic. Particularly, in the case of the marine bridge connecting two islands, the width of the fairway is extremely narrow, therefore the risk is higher. In this study, we evaluated the risk of collision between marine bridge piers and ships using the IALA Waterway Risk Assessment Program (IWRAP), a risk assessment model for port waterways, based on a maritime traffic survey on the coastal bridge in Sinan-gun. The results, indicated that No.1 Sinan bridge had the highest probability of collision and most of the transit ships were coastal passenger ships. In addition, No.1 Sinan bridge was the place where the most collision accidents occurred among the marine bridge piers in the target sea, and the cause this study was analyzed. An analysis of the satellite images of the sea environment of No.1 Sinan bridge using an image processing method, confirmed that obstacles that could not be seen in the chart existed nearby the bridge. As a result, traffic was observed to be concentrated in one direction, unlike two-way traffic, which is a method of inducing traffic of bridges to avoid obstacles. The risk cause analysis method using the image processing technique of this study is expected to be used as a basic research method for analyzing the risk factors of island bridge in the future.

A Study on Data Clustering of Light Buoy Using DBSCAN(I) (DBSCAN을 이용한 등부표 위치 데이터 Clustering 연구(I))

  • Gwang-Young Choi;So-Ra Kim;Sang-Won Park;Chae-Uk Song
    • Journal of Navigation and Port Research
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    • v.47 no.4
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    • pp.231-238
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    • 2023
  • The position of a light buoy is always flexible due to the influence of external forces such as tides and wind. The position can be checked through AIS (Automatic Identification System) or RTU (Remote Terminal Unit) for AtoN. As a result of analyzing the position data for the last five years (2017-2021) of a light buoy, the average position error was 15.4%. It is necessary to detect position error data and obtain refined position data to prevent navigation safety accidents and management. This study aimed to detect position error data and obtain refined position data by DBSCAN Clustering position data obtained through AIS or RTU for AtoN. For this purpose, 21 position data of Gunsan Port No. 1 light buoy where RTU was installed among western waters with the most position errors were DBSCAN clustered using Python library. The minPts required for DBSCAN Clustering applied the value commonly used for two-dimensional data. Epsilon was calculated and its value was applied using the k-NN (nearest neighbor) algorithm. As a result of DBSCAN Clustering, position error data that did not satisfy minPts and epsilon were detected and refined position data were acquired. This study can be used as asic data for obtaining reliable position data of a light buoy installed with AIS or RTU for AtoN. It is expected to be of great help in preventing navigation safety accidents.

Development of Traffic Accident Rate to Improve the Reliability of the Valuation of Accident Costs Savings on National Highways (국도 사고비용 산정의 신뢰도 향상을 위한 사고원단위 개선)

  • Wanhyoung Cho;Kijung Kum
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.5
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    • pp.19-29
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    • 2023
  • The accident rate in South Korea is simply classified according to the road type and the number of lanes, but other countries apply various factors affect accidents. In this study, national highways where accidents occurred were divided into urban, rural, older, and modern roads using TAAS(Traffic Accident Analysis System) data, and a model of accident costs savings is suggested. As a result of analyzing 1,416.2 km, the fatality rate(person/100mil-vehicle·km) was 4.21 for urban-older, 1.37 for urban-modern, 2.18 for rural-older, and 0.99 for rural-modern roads. The rates of urban roads had a higher result than rural. The injury rate(person/100mil-vehicle·km) for urban-older was 182.63, that for urban-modern was 103.42, that for rural-older was 67.44, and that for rural-modern road was 42.96, which showed a similar pattern to fatality rates. Accident rates of a modern road were much lower than the KDI Guideline. The benefit of applying the result of this study was calculated and the valuation of accident costs savings is increased from 0.6% to 14.1%, while B/C is improved from 0.626 to 0.724.

A study on accident prevention AI system based on estimation of bus passengers' intentions (시내버스 승하차 의도분석 기반 사고방지 AI 시스템 연구)

  • Seonghwan Park;Sunoh Byun;Junghoon Park
    • Smart Media Journal
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    • v.12 no.11
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    • pp.57-66
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    • 2023
  • In this paper, we present a study on an AI-based system utilizing the CCTV system within city buses to predict the intentions of boarding and alighting passengers, with the aim of preventing accidents. The proposed system employs the YOLOv7 Pose model to detect passengers, while utilizing an LSTM model to predict intentions of tracked passengers. The system can be installed on the bus's CCTV terminals, allowing for real-time visual confirmation of passengers' intentions throughout driving. It also provides alerts to the driver, mitigating potential accidents during passenger transitions. Test results show accuracy rates of 0.81 for analyzing boarding intentions and 0.79 for predicting alighting intentions onboard. To ensure real-time performance, we verified that a minimum of 5 frames per second analysis is achievable in a GPU environment. his algorithm enhance the safety of passenger transitions during bus operations. In the future, with improved hardware specifications and abundant data collection, the system's expansion into various safety-related metrics is promising. This algorithm is anticipated to play a pivotal role in ensuring safety when autonomous driving becomes commercialized. Additionally, its applicability could extend to other modes of public transportation, such as subways and all forms of mass transit, contributing to the overall safety of public transportation systems.

Spectrum Analysis and Detection of Ships Based on Aerial Hyperspectral Remote Sensing Experiments (항공 초분광 원격탐사 실험 기반 선박 스펙트럼 분석 및 탐지)

  • Jae-Jin Park;Kyung-Ae Park;Tae-Sung Kim;Moonjin Lee
    • Journal of the Korean earth science society
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    • v.45 no.3
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    • pp.214-223
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    • 2024
  • The recent increase in maritime traffic and coastal leisure activities has led to a rise in various marine accidents. These incidents not only result in damage to human life and property but also pose a significant risk of marine pollution involving oil and hazardous and noxious substances (HNS) spills. Therefore, effective ship monitoring is crucial for preparing and for responding to marine accidents. This study conducted an aerial experiment utilizing hyperspectral remote sensing to develop a maritime ship monitoring system. Hyperspectral aerial measurements were carried out around Gungpyeong Port in the western coastal region of the Korean Peninsula, and spectral libraries were constructed for various ship decks. The spectral correlation similarity (SCS) technique was employed for ship detection, analyzing the spatial similarity distribution between hyperspectral images and ship spectra. As a result, 15 ships were detected in the hyperspectral images. The color of each ship's deck was classified based on the highest spectral similarity. The detected ships were verified by matching them with high-resolution digital mapping camera (DMC) images. This foundational study on the application of aerial hyperspectral sensors for maritime ship detection demonstrates their potential role in future remote sensing-based ship monitoring systems.