• Korean Journal of Remote Sensing
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• v.36 no.2_1
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• pp.217-229
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• 2020

Recently, weather changes in Korea have intensified due to global warming, and the five major natural disasters that occur mostly include heavy rains, typhoons, storms, heavy snow, and earthquakes. Busan is vulnerable to snow disaster, given that the amount of natural disaster damage in Busan accounts for more than 50% of the total amount in the entire metropolitan cities in Korea, and that the Busan area includes many hilly mountains. In this study, we attempted to identify vulnerable areas for snowfall disasters in Busan areas using the geographic information system (GIS) with the data for both geographical and anthropogenic characteristics. We produced the maps of vulnerable areas for evaluating factors that include altitude, slope, land cover, road networks, and demographics, and overlapped those maps to rank the vulnerability to snowfall disasters as the 5th levels finally. To weight each evaluating factor, we used an entropy method. The riskiest areas are characterized by being located in mountainous areas with roads, including Sansung-ro in Geumjeong-gu, Mandeok tunnel in Buk-gu, Hwangnyeongsan-ro in Suyeong-gu, and others, where road restrictions were actually enforced due to snowfall events in the past. This method is simple and easy to be updated, and thus we think this methodology can be adapted to identify vulnerable areas for other environmental disasters.

• The Journal of Engineering Geology
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• v.17 no.2 s.52
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• pp.253-261
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• 2007

The failure of the road cut-slope due to heavy rains brings about lots of injuries and damage on national properties. KICT has developed CSMS system by means of prevention to manage the dangerous cut slopes. In spite of the continuous management the frequency of cut-slopes failure is increasing the past due to changes of earth-environment. KICT has installed the "Real-Time Monitoring System" on dangerous slopes. The operation of Real-Time Monitoring System is used as a positive system to reduce injuries and damages. However, Although the slope manager is aware of the signs collapsed in advance, it has temporal and spatial limits until the slope manager performs the works which are preventing the accidents. When real time monitoring system finds out an indication of slope collapse, the Rock-fall Signal Lamp System makes road-users indicated the risk of cut slopes. It is a kind of prevention system that it will minimize the damages of the properties as suspension of traffic automatically or passively.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.391-391
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• 2022

상수도관은 시간이 경과됨에 따라 노후화가 진행되고 탁수 및 적수문제를 일으킬 가능성이 높아진다. 현재 우리나라는 전체 상수도관 중 경과년수를 초과한 노후 상수도관이 많은 부분을 차지하고 있기 때문에 개선이 시급한 실정이다. 하지만 전체 상수도관을 교체하는 것은 막대한 예산이 필요하기 때문에 현실적으로 어려운 문제이므로 상수도관의 적수 및 탁수 위험도 분석을 통하여 상수도관의 교체 또는 개량 우선순위를 결정하고 개선사업을 실시하는 것이 필요하다. 본 연구에서는 적수 및 탁수발생을 일으키는 인자들을 도출하였다. 먼저, 박리위험도와 퇴적위험도로 분류하여 적수와 탁수의 발생 위험도를 분석하였다. 퇴적위험도의 인자에는 평균유속지수, 정체지수, 관경지수, 경과년지수, 그리고 관길이지수를 적용하였고 박리위험도의 인자에는 유속차이지수, 유향변화지수, 영향범위지수, 관길이지수, 그리고 수충격지수를 적용하여 위험도분석을 수행하였다. 적용 지역은 인구 85만명의 중도시이며 4개동에 걸쳐서 위험도분석을 진행하였고 퇴적위험도가 높은 관과 박리위험도가 높은 관을 선정할 수 있었다. 또한 결과분석을 통해 박리위험도와 퇴적위험도 모두 높은 관을 선정할 수 있었다. 박리위험도와 퇴적위험도의 인자들 중에서 유속 관련지수의 경우 박리위험도에서는 유속이 빠를수록 위험도가 높고 퇴적위험도에서는 느릴수록 위험도가 높기 때문에 박리와 퇴적위험도가 모두 높다는 것은 수질문제를 일으킬 가능성이 매우 높은 관으로 판단할 수 있다. 같은 지역(동)에서 박리위험도와 퇴적위험도를 분석한 결과, 최근 개발된 경관년수가 오래되지 않은 지역의 경우는 박리위험도와 퇴적위험도의 최대값과 최소값의 차이가 3배 정도 되는 것으로 나타났다. 하지만 경과년수가 오래된 지역의 경우는 박리위험도의 경우, 가장 높은 관의 박리위험도가 가장 낮은 위험도와 7배 이상이 차이가 났고 퇴적위험도의 경우 약 10배 이상 차이가 나는 것으로 나타났다. 이는 경과년수에 의한 차이뿐만 아니라 인구감소나 인구고령화로 인해 낮 시간 수도사용량이 매주 적어서 발생하는 것으로 판단된다. 향후 본 연구결과를 적용하여 상수도의 적수 및 탁수 발생 위험도가 높은 관로를 선정하고 이에 대한 집중적인 관리감독을 진행한다면 상수도 수질문제로 인한 민원을 대폭 줄일 수 있을 것으로 판단된다.

• Journal of Korean Society of Transportation
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• v.20 no.4
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• pp.163-175
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• 2002

Fatalities from traffic accidents constitute one of the major health issues as well as safety ones in Korea. It has been reported that traffic accident is affected by the combined effects of road. vehicle. and human factors. Over the past few decades, a number of studies have been conducted to find the impact of road geometric factors on traffic safety. The purpose of this study is to investigate the effect of road geometric factors on traffic safety on Korean expressways. Detailed geometric design data were available from Korea Highway Corporation. Five-year traffic accident data on Honam expressway were collected and analyzed. It was found that following geometric factors influence traffic safety on expressways : radius of curve, curve length, and length of straight section. Furthermore, the existence of I.C. turned out to have a significant impact on traffic safety level. Based on the data analysis several multiple regression forms that relate traffic accident frequencies and geometric factors on expressways are developed.

• The Journal of Engineering Geology
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• v.23 no.3
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• pp.257-269
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• 2013

Prevention plans for landslide and slope disasters should be appropriate for a country's budget when considering a systematic investment plan. The systematic management of slopes adjacent to national highways should incorporate reasonable investment risk and the expected degree of damage should be calculated by considering the investment priorities. In terms of priority of investment, the major factors used to determine the degree of hazard are gradient, soil characteristics, RMR (Rock Mass Rating), stability interpretation, type of discontinuities, and history of collapse, among others. The likely consequences of slope failure can be determined by considering traffic volume, the number of lanes, and average vehicle risk. We performed such calculations regarding the priority of investment and performed a regression analysis for 392 slopes located in Yeongseo region, Gangwon province. The calculation results show that collapsed slopes have a higher priority for investment, as do slopes with a high proportion of dangerous sections and locations in valleys.

• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.95-102
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• 2011

This paper presents a Driving Risk Model (DRM) based on driving speed choices using an Ordered Response Probit (ORP) model. The DRM is conceptualized based on the relation between speed deviation and the occurrence of crashes found by Solomon. The impacts of various driving risk factors are revealed by applying the DRM to evaluate the effectiveness of In-Vehicle Traffic Warning Information (IVTWI) in expressway driving. Regarding driving risk, the results show that: (1) the risk is lower among male drivers, those with more driving experience and those with less accident history, (2) the risk is higher when driving takes place on wet road surface, in the afternoon, and under conditions of low traffic volume, and (3) the risk is also higher on both downgraded and long curve sections. Additionally, the results provide evidence that provision of IVTWI can decrease the driving risk. The proposed DRM provides a solution for assessing the traffic safety impacts of countermeasures on roadways when there is a shortage of traffic accidents data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.841-846
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• 2011

Presently, the level of service(LOS) of the domestic roads are evaluated by using average speed of passing by vehicles. However, this method has been designed by considering the degree of congestion on the road only, without considering the reality of traffic safety. Therefore, for the LOS to serve as an index evaluating proper road design and operation, it should be able to deal with wider coverage than known factors which directly affects road users. Therefore the study wants to explore the concept of user cost, as a factor that covers traffic safety and flow, for evaluating roads. Also, the study wants to develop UML based user-centric design, not a one-time development method, for evaluating risk order of roads.

• Journal of Korean Society of Transportation
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• v.23 no.3 s.81
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• pp.73-84
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• 2005

Highway design criteria are considering roadway safety and smooth driving maneuver. However, a certain highway alignment within design criteria often leads drivers to undesirable situation due to the differences between the original intention of design criteria and the unintended result of drivers' cognition. The differences between them often result in traffic accidents. In order to reduce accident process, highway safety facilities are installed on those roadway sections. However, the relationship between highway environments and human factors has not been deeply studied in Korea. In this study. vertical roadway sections are constructed with 3-D graphical tools. This vertical roadway sections are simulated on a driving simulator in order to identify the differences of drivers' cognition on different roadway environments. Based upon the collected data from the driving simulator, canonical correlation analysis and canonical discriminant analysis of quantification theory II have been performed in order to figure out impacting factors on the degree of roadway safety. Also, based upon quantification theory I. the relationship between roadway safety facilities and the degree of safety has been analyzed.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.535-545
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• 2022

The purpose of this study is to classify the various problems in surface road according to their severity and to propose a priority decision making process for road policy makers. For this purpose, the road problems reported by Cheok-cheok app were classified, and the EPDO was adopted and calculated as an index of their severity. To test applicability of the proposed process, some images of road problems reported by the app were classified and annotated, and the Deep Learning was used for machine learning of the curated images, and then the other images of road problems were used for verification. The detecting success rate of the road problems with high severity such as road kills, obstacles in a lane, road surface cracks was over 90%, which shows the applicability of the proposed process. It is expected that the proposed process will make the app possible to be used in the filed to make a priority decision making by classifying the level of severity of the reported road problems automatically.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.190-190
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• 2019

호우로 인해 도시지역에 발생하는 홍수의 대표적인 특성은 도로와 저지대의 내수침수라고 할 수 있다. 이러한 침수현상을 모의하고 예측하기 위해서는 일반적으로 도시유출해석 모형과 연계된 2차원 침수해석 모형을 활용한다. 다만, 이러한 물리적, 수치해석 도구들은 공간적인 해상도가 높고, 대상영역이 넓을수록 많은 연산시간이 소요되므로 집중호우와 같이 단시간에 많은 비가 발생하는 경우 홍수예보에 활용하는데 한계가 있다. 따라서 시나리오 기반의 침수위험 정보를 사전에 정의하나, 위험기준을 정의하는 방법에 따라 위험지역과 위험도가 달라질 수 있다. 이에 본 연구에서는 시공간적으로 상세한 침수 예상 정보를 빠르고, 정확하게 제공하기 위해서 침수시나리오 기반의 침수위험 예보 기준 지도를 작성하고, 기준 지도 작성 시 위험기준 요소의 정의를 다양하게 적용하여 서울시의 침수위험 지역과 위험도의 변화를 분석하고자 한다. 여기서 침수시나리오는 76개 강우 시나리오와 SWMM모형, 2차원 침수해석모형(GIAM)을 활용하여 생산한 결과를 활용하였다. 생산된 침수시나리오는 6m 시공간 해상도를 갖지만, 예측강우를 활용한 돌발홍수예보 프로토타입의 기준 격자망을 고려하여 500m 해상도로 변환하여 분석에 활용한다. 본 연구에서는 침수위험의 유무, 위험 정도를 분류하는 위험기준을 영역 내 최대침수심, 평균침수심, 침수면적 비율 등으로 다양화하고, 각 위험기준 요소별 침수위험 예보 기준 지도를 작성한다. 또한, 실제 침수발생 사례에 작성한 침수위험 예보 기준 지도를 적용하여, 침수위험 지역과 위험도를 가장 적합하게 구현한 위험기준을 찾고자 한다.