• Title/Summary/Keyword: Slope Management Information Sheet(SMIS)

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Making a Hazard Map of Road Slope Using a GIS and Logistic Regression Model (GIS와 Logistic 회귀모형을 이용한 접도사면 재해위험도 작성)

  • Kang, In-Joon;Kang, Ho-Yun;Jang, Yong-Gu;Kwak, Young-Joo
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.1 s.35
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    • pp.85-91
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    • 2006
  • Recently, slope failures are happen to natural disastrous when they occur in mountainous areas adjoining highways in Korea. The accidents associated with slope failures have increased due to rapid urbanization of mountainous areas. Therefore, Regular maintenance is essential for all slope and needs maintenance of road safety as well as road function. In this study, we take priority of making a database of risk factor of the failure of a slope before assesment and analysis. The purpose of this paper is to recommend a standard of Slope Management Information Sheet(SMIS) like as Hazard Map. The next research, we suggest to pre-estimated model of a road slope using Logistic Regression Model.

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Hazard Map of Road Slope Using a Logistic Regression Model and GIS (Logistic 회귀모형과 GIS기법을 활용한 접도사면 붕괴확률위험도 제작)

  • Kang Ho-Yun;Kwak Young-Joo;Kang In-Joon;Jang Yong-Gu
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.339-344
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    • 2006
  • Slope failures are happen to natural disastrous when they occur in mountainous areas adjoining highways in Korea. The accidents associated with slope failures have increased due to rapid urbanization of mountainous areas. Therefore, Regular maintenance is essential for all slope and conducted to maintain road safety as well as road function. In this study, we take priority of making a database of risk factor of the failure of a slope before assesment and analysis. The purpose of this paper is to recommend a standard of Slope Management Information Sheet(SMIS) like as Hazard Map. The next research, we suggest to pre-estimated model of a road slope using Logistic Regression Model.

  • PDF