• The Journal of Engineering Geology
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• v.28 no.4
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• pp.687-699
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• 2018

Understanding rain infiltration into the ground is an important feature of landslide risk evaluation. In this study, a landslide risk index for the study area is suggested, wherein the result of the landslide risk evaluation, based on the factor of safety (FS), is used. The landslide risk index is a landslide risk prediction index that utilizes the saturated depth ratio of the ground. Based on the landslide risk result for the study area, it was found that the FS was first to decrease. However, it gradually became convergent over the 50-year rainfall intensity study period, a result that is similar to the relationship between the saturated depth ratio and soil thickness. Moreover, saturated depth was also found to be deeper on gentle slopes than steep slopes. As such, the landslide risk index, based on the Inhu-ri study result, is thus suggested. Additionally, the suggested landslide risk index was compared and analyzed against the rainfall intensity of previous landslide experience. Results thus revealed that almost all landslides that occurred were over 0.7, which is the second grade, based on the landslide risk index.

• Journal of the Korean GEO-environmental Society
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• v.20 no.6
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• pp.15-22
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• 2019

In this study, the hazard areas are identified by using the Newmark displacement model, which is a predictive model for identifying the areas at risk of landslide triggered by earthquakes, based on the results of field survey and laboratory test, and literature data. The Newmark displacement model mainly utilizes earthquake and slope related data, and the safety of slope stability derived from LSMAP, which is a landslide prediction program. Backyang Mt. in Busan where the landslide has already occurred, was chosen as the study area of this research. As a result of this study, the area of landslide prone zone identified by using the Newmark displacement model without earthquake factor is about 1.15 times larger than that identified by using LSMAP.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.238-248
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• 2012

This research examined the effect of risk perception on risk attitude and risk acceptance of nuclear power plants. For this study, we carried out a survey targeting local residents living in Gyeong-ju..And we examined how risk perception of nuclear power plants have influences the risk attitude and risk acceptance including distrust on government's polices and perceived benefit. First, The findings showed that risk perception of nuclear power plants influenced positively on risk attitude. Second, risk attitude of nuclear power plants influenced negatively on risk acceptance. Third, distrust on government's polices influenced negatively on risk acceptance. Fourth, perceived benefit influenced positively on risk acceptance.

• Journal of the Korean Geotechnical Society
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• v.30 no.6
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• pp.61-68
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• 2014

The main objective of this study is to evaluate the preliminary landslide hazard based on the identification of geomorphological features, which are believed to be critical values in the initial state of landslides. Two methods, SINMAP and Planarity analyses, are used to simulate those characteristics where landslides are actually located. Results showed that both methods well discriminate geomorphic features between stable and unstable domains in the landslide areas. SINMAP analysis which is the consecutive model considering external factors like infiltration identifies the landslide hazard especially for debris flow type landslides better than plararity analysis focusing on a specific area. This analysis combined with other methods dealing with specific characteristics of geomorphological feature, the accurate landslide hazard will be evaluated.

• Journal of Korean Society of Forest Science
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• v.97 no.3
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• pp.332-339
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• 2008

This study was carried out to develop the score table for prediction of landslide hazard in Gyeongsangbuk-Do province. It was studied to 172 places landslided in 23 cities and counties of Gyeongsangbuk-Do province. An analyze of the score table for landslide hazard was carried out through the multiple statistics of quantification method (I) by the computer. Factors effected to landslide occurrence quantity were shown in order of slope position, slope length, bedrock, aspect, forest age, slope form and slope. As results of the development of score table for prediction of landslide hazard in Gyeongsangbuk-Do province, total score range was divided that 107 under is stable area (IV class), 107~176 is area with little susceptibility to landslide (III class), 177~246 is area with moderate susceptibility to landslide (II class), above 247 area with severe susceptibility to landslide (I class).

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.3
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• pp.23-29
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• 2015

Due to the characteristics of landslide disasters including debris flow, the rapid speed to downward and difficulty to respond or evacuate from them, it is imperative to identify their potential hazards and prepare the reduction plans. However, the current landslide hazards generated by a variety of methods has been raised its accuracy because of the complexity of input data and their analyses, and the simplification of the landslide model. The main objective of this study is, therefore, to evaluate the preliminary landslide hazard based on the identification of geomorphological features. Especially, two methodologies based on the statistics of the directional data, Vector dispersion and Planarity analyses, are used to find some relationships between geomorphological characteristics and the landslide hazard. Results show that both methods well discriminate geomorphological features between stable and unstable domains in the landslide areas. Geomorphological features are closely related to the landslide hazard and it is imperative to maximize their characteristics by adapting multiple models rather than individual model only. In conclusions, the mechanism of landslide is not determined solely by a simple cause but the complex natural phenomenon caused by the interactions of the numerous factors and it is of primary importance to require additional researches for the outbreaking mechanism that are based on various methodologies.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.193-204
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• 2021

Based on risk-benefit theory, this study examined a structural equation model accounting for the mechanisms through which affective perceptions of AI predicting individuals' support for the government's Ai policies. Four perceived characteristics of AI (i.e., usefulness, entertainment value, privacy concern, threat of human replacement) were investigated in relation to perceived benefits/risks, attitudes toward AI, and AI policy support, based on a nationwide sample of South Korea (N=352). The hypothesized model was well supported by the data: Perceived usefulness was a strong predictor of perceived benefit, which in turn predicted attitude and support. Perceived benefit and attitude played significant roles as mediators. Perceived entertainment value along with perceived usefulness and privacy concern predicted attitude, not perceived benefit. Neither attitude nor support was significantly associated with perceived risk which was predicted by privacy concern. Theoretical and practical implications of the results are discussed.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.428-432
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• 2016

자연재해는 전 세계적으로 몇 조원에 이르는 피해를 주고 있으며 근래에는 기후변화로 인한 이상기후현상으로 집중호우의 빈도가 증가하고 있으며 홍수, 산사태 토석류 등 발생빈도가 늘어나고 있는 추세이다. 최근 2011년 서울에서 발생한 우면산 토석류의 피해와 강원도 일부 지역의 피해로 인해 많은 피해가 일어났으며, 국가에서는 산사태 피해를 최소화하기 위해서는 장기적으로는 위험한 지역에 구조물을 설치하는 등 예방사방을 실시하고, 단기적으로는 위험요소의 제거와 위험지역의 예측을 통한 경계피난체재를 철저히 할 필요성이 강조되고 있는 실정이다. 특히, 강원도는 산지로 이루어져 있으며, 매년 집중호우나 태풍이 지나간 다음, 많은 양의 강우량으로 인해 산길을 지나는 도로에 토석류로 인해 길이 막혀 이동이 불가능 하게 되거나 산지 아래에 있는 건물이 산에서 쓸려서 내려오는 토사와 나무에 의해 파괴되어 물질적인 피해를 입는 영상이 뉴스를 통해 많이 접하고 있다. 본 연구에서는 토석류에 대한 전반적인 특성을 설명하고 체계적인 관리가 필요하다. 연구 지역은 춘천지역을 대상으로 SINMAP 모델 기법의 조도계수와 특성을 고려한 위험지도를 작성하였고 산사태 일부 지역에 대한 위험도 평가를 하였다.

• 산림경영
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• s.151
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• pp.51-51
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• 2001

• Journal of Distribution Research
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• v.12 no.2
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• pp.1-22
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• 2007

The primary purpose of this research is to develop and test a model that explains the process of how In-store experiences (physical environmental quality, personal interaction, product experience) through perceived risks and brand attitude influence purchase intention. Perceived risks and brand attitude are proposed as mediators that make a significant impact on purchase intention. Through structural equation modeling using 235 consumers who visited the experience store in IT Industry, we find that In-store experiences influence perceived risks, brand attitude and then enhance purchase intention. Thus, IT companies should make every effort to create In-store value for visited consumers. Based on these results, managerial implications for experience store operation and marketing strategy are discussed. Finally, limitation for this research and further research issues are suggested.