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http://dx.doi.org/10.9720/kseg.2022.4.585

Major Factors Influencing Landslide Occurrence along a Forest Road Determined Using Structural Equation Model Analysis and Logistic Regression Analysis  

Kim, Hyeong-Sin (Department of Safety and Disaster Prevention Research, Seoul Institute of Technology)
Moon, Seong-Woo (Department of Earth and Environmental Sciences, Chungbuk National University)
Seo, Yong-Seok (Department of Earth and Environmental Sciences, Chungbuk National University)
Publication Information
The Journal of Engineering Geology / v.32, no.4, 2022 , pp. 585-596 More about this Journal
Abstract
This study determined major factors influencing landslide occurrence along a forest road near Sangsan village, Sancheok-myeon, Chungju-si, Chungcheongbuk-do, South Korea. Within a 2 km radius of the study area, landslides occur intensively during periods of heavy rainfall (August 2020). This makes study of the area advantageous, as it allows examination of the influence of only geological and tomographic factors while excluding the effects of rainfall and vegetation. Data for 82 locations (37 experiencing landslides and 45 not) were obtained from geological surveys, laboratory tests, and geo-spatial analysis. After some data preprocessing (e.g., error filtering, minimum-maximum normalization, and multicollinearity), structural equation model (SEM) and logistic regression (LR) analyses were conducted. These showed the regolith thickness, porosity, and saturated unit weight to be the factors most influential of landslide risk in the study area. The sums of the influence magnitudes of these factors are 71% in SEM and 83% in LR.
Keywords
forest road slope; major influential factor on landslide; multicollinearity; structural equation model; logistic regression;
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Times Cited By KSCI : 5  (Citation Analysis)
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