• Title/Summary/Keyword: 도로 위험도

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Development of Risk Assessment Models for Railway Casualty Accidents (철도 사상사고 위험도 평가 모델 개발에 관한 연구)

  • Park, Chan-Woo;Wang, Jong-Bae;Kim, Min-Su;Choi, Don-Bum;Kwak, Sang-Log
    • Journal of the Korean Society for Railway
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    • v.12 no.2
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    • pp.190-198
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    • 2009
  • This study shows the developing process of the risk assessment models for railway casualty accidents. To evaluate the risks of these accidents, the hazardous events and the hazardous factors were identified by the review of the accident history and engineering interpretation of the accident behavior. The frequency of each hazardous event was evaluated from the historical accident data and structured expert judgments by using the Fault Tree Analysis (FTA) technique. In addition, to assess the severity of each hazardous event, the ETA (Event Tree Analysis) technique and other safety techniques were applied. The risk assessment models developed can be effectively utilized in defining the risk reduction measures in connection with the option analysis.

Rock Slope Failure Analysis and Landslide Risk Map by Using GIS (GIS를 이용한 암반사면 파괴분석과 산사태 위험도)

  • Kwon, Hye-Jin;Kim, Gyo-Won
    • Journal of the Korean Geotechnical Society
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    • v.30 no.12
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    • pp.15-25
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    • 2014
  • In this study, types of rock slope failure are analyzed by considering both joint characteristics investigated on previous landslide regions located at northern part of Mt. Jiri and geographic features of natural slopes deduced from GIS. The landslide prediction map was produced by superposing the frequency ratio layers for the six geographic features including elevation, slope aspect, slope angle, shaded relief, curvature and stream distance, and then the landslide risk map was deduced by combination of the prediction map and the damage map obtained by taking account of humanity factors such as roads and buildings in the study area. According to analysis on geographic features for previous landslide regions, the landslides occurred as following rate: 88% at 330~710 m in elevation, 77.7% at $90{\sim}270^{\circ}$ in slope aspect, 93.9% at $10{\sim}40^{\circ}$ in slope angle, 82.78% at grade3~7 in shaded relief, 86.28% at -5~+5 in curvature, and 82.92% within 400m in stream distance. Approximately 75% of the landslide regions belongs to the region of 'high' or 'very high' grade in the prediction map, and 13.27% of the study area is exposed to 'high risk' of landslide.

A Study on Assessment of Fire Risk about Concentrated Area of Traditional Buildings in Korea - Focused on the Bukchon - (국내 한옥마을의 도시화재 위험성 평가 - 북촌한옥마을을 중심으로 -)

  • Kim, Bong-Chan;Kim, Dong-Eun;Lee, Ju-Hee;Kwon, Young-Jin
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2011.11a
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    • pp.258-261
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    • 2011
  • 본 연구는 일본의 도시화재 위험성 평가방법 중 도시방재 실무 핸드북의 재해위험도 판정을 사용하여 우리나라 북촌한옥마을의 가회동 31번지일대 및 11번지일대를 대상으로 도시화재위험성 평가를 수행한 것으로서, 그 결과 A B구역에서는 도로폐색과 피난곤란으로 도시화재위험성이 높은 것으로 나타났으며, C D구역에서는 목방건폐율 불연영역율 제외한 부분에서 낮은 위험도를 보였다.

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Design of Smart Emergency Alarm Broadcasting and Evacuation Guidance System for Real-Time Disaster Response of Old School Buildings (노후학교 건축물 실시간 재난대응을 위한 스마트 재난경보방송 및 대피안내시스템 설계)

  • Ahn, Byung-Dug;Lee, Seung-Hyung;Oh, Jung-Taek;Choi, Se-Hyu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2019.06a
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    • pp.199-201
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    • 2019
  • 최근 경주 포항 지역에 지진피해 등 대구 경북권의 잦은 재난 발생으로 인해 증대되고 있는 노후학교 건축물의 안전성 위험 문제에 대한 선제 대응이 필요한 상황이 요구되고 있다. 학교 건축물에 건물의 위험도를 파악할 수 있는 센서들을 부착하고, 실시간 모니터링을 통해 건물의 구조적 위험성을 판단한다. 건물의 위험도가 심각한 단계에 이르면 스마트폰(Smart Phone) 앱(Application)과 음성안내방송을 통해 건물의 재실자와 관리자에게 즉시 경보를 발령하며, 대피할 수 있도록 가이드를 제시 한다. 이에 본 논문에서는 스마트 재난경보방송을 위한 스마트폰 애플리케이션(application)을 통해 재난 상황을 전파하고 대응할 수 있게 건물의 위험성 발생 위치정보를 제공하며 대피 안내 정보를 제공한다. 동시에 건물의 구내방송 시스템과 연계를 통해 음성 안내방송을 자동으로 수행하며, 두 가지 방식으로 재난 메시지를 전파하여 중복성을 가지고 경보 전파를 수행한다.

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Development of Hazard-Level Forecasting Model using Combined Method of Genetic Algorithm and Artificial Neural Network at Signalized Intersections (유전자 알고리즘과 신경망 이론의 결합에 의한 신호교차로 위험도 예측모형 개발에 관한 연구)

  • Kim, Joong-Hyo;Shin, Jae-Man;Park, Je-Jin;Ha, Tae-Jun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4D
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    • pp.351-360
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    • 2010
  • In 2010, the number of registered vehicles reached almost at 17.48 millions in Korea. This dramatic increase of vehicles influenced to increase the number of traffic accidents which is one of the serious social problems and also to soar the personal and economic losses in Korea. Through this research, an enhanced intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network will be developed in order to obtain the important data for developing the countermeasures of traffic accidents and eventually to reduce the traffic accidents in Korea. Firstly, this research has investigated the influencing factors of road geometric features on the traffic volume of each approaching for the intersections where traffic accidents and congestions frequently take place and, a linear regression model of traffic accidents and traffic conflicts were developed by examining the relationship between traffic accidents and traffic conflicts through the statistical significance tests. Secondly, this research also developed an intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network through applying the intersection traffic volume, the road geometric features and the specific variables of traffic conflicts. Lastly, this research found out that the developed model is better than the existed forecasting models in terms of the reliability and accuracy by comparing the actual number of traffic accidents and the predicted number of accidents from the developed model. In conclusion, it is expect that the cost/effectiveness of any traffic safety improvement projects can be maximized if this developed intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network use practically at field in the future.

A Study on Estimation of Road Vulnerability Criteria for Vehicle Overturning Hazard Impact Assessment (차량 전도 위험 영향 평가를 위한 도로 취약성 기준 산정에 관한 연구)

  • Kyung-Su Choo;Dong-Ho Kang;Byung-Sik Kim;In-Jae Song
    • Journal of Korean Society of Disaster and Security
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    • v.16 no.2
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    • pp.49-56
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    • 2023
  • Impact based forecast refers to providing information on potential socioeconomic risks according to weather conditions, away from the existing weather factor-oriented forecast. Developed weather countries are investing manpower and finances in technology development to provide and spread impact information, but awareness of impact based forecasts has not spread in Korea. In addition, the focus is on disasters such as floods and typhoons, which cause a lot of damage to impact based forecasts, and research on evaluating the impact of vehicle risks due to strong winds in the transportation sector with relatively low damage is insufficient. In Korea, there are not many cases of damage to vehicle conduction caused by strong winds, but there are cases of damage and the need for research is increasing. Road vulnerability is required to evaluate the risk of vehicles caused by strong winds, and the purpose of this study was to calculate the criteria for road vulnerability. The road vulnerability evaluation was evaluated by the altitude of the road, the number of lanes, the type of road. As a result of the analysis, it was found that the vulnerable area was well reproduced. It is judged that the results of this study can be used as a criterion for preparing an objective evaluation of potential risks for vehicle drivers.