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2026 Vol.38, Issue 2 Preview Page
A Network and Delphi Analysis Approach to Identify Steep Slope Risk Factors: South Korean Case Study
Cherry Rose Godes1
,
One-Bin Lim2
,
Shanelle Aira Rodrigazo3
,
Yongseong Kim4
,
Jaeheum Yeon4*
1Master, Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Korea
2Ph.D, Risk Assessment Division, Ministry of the Interior and Safety, Sejong 30116, Korea
3Ph.D Student, Interdisciplinary Program in Earth Environmental System Science & Engineering, Kangwon National University, Chuncheon 24341, Korea
4Professor, Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Korea
*Corresponding Author
30 June 2026. pp. 209-237
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Abstract

Rapid urbanization in mountainous regions increases the risk of slope collapse, highlighting the need for a robust risk assessment framework. In South Korea, existing models struggle with environmental dynamics and weather irregularities, and local government agencies are slow to respond to emerging challenges. This study addresses these issues using a three-step process. First, key risk factors—such as slope elevation, soil type, 1-hour disaster rainfall, snow accumulation, and forest fires—were identified using text analytics with Gephi and KH Coder. These factors were then validated through a Delphi analysis with 20 experts, achieving consensus on their significance. Finally, the validated factors were tested on 200 steep slopes to assess their practical applicability, leading to their integration into current guidelines. The results showed improved sensitivity and effectiveness in risk assessments. This study offers essential insights for engineers and policymakers, providing a model that can enhance risk management practices, prioritize mitigation measures, and strengthen community resilience in mountainous regions globally.

Keywords
Delphi analysis
Network analysis
Risk assessment
Risk factors
Steep slope
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Information
  • Publisher :Agriculture and Life Sciences Research Institute, Kangwon National University
  • Publisher(Ko) :None
  • Journal Title :Journal of Agricultural, Life and Environmental Sciences
  • Volume : 38
  • No :2
  • Pages :209-237
  • Received Date : 2026-04-28
  • Revised Date : 2026-05-19
  • Accepted Date : 2026-05-26
  • DOI :https://doi.org/10.22698/jales.20260015
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