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Analyzing landslide susceptibility of forest roads by analytical hierarchy process (AHP) in of forest planning unit of Turkiye

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  • Derya Mumcu Kucuker

    (Karadeniz Technical University)

Abstract

Forest roads are essential for the management of forest goods and services. The interests in Landslide Susceptibility Maps (LSMs) an important decision basis has become one of the crucial concerns in landslide risk areas in order to determine where to build new roads or to take necessary precautions on existing roads. This study aims to reveal the potential risk of forest roads for landslide in the Of Planning Unit. The forest roads located in Black Sea Region in Turkiye covering this area, suffer from landslides due to geologic and climatic condition. For this purpose, LSM was created by combining the MCDA Analytical Hierarchy Process (AHP) related to expert knowledge and Geographic Information Systems (GIS). Twelve landslide-related criteria, including slope, bedrock type, relative relief, drainage density and frequency, rainfall, and land cover, were fabricated in raster format by ArcGIS domain. After the effects or weights of each factor were calculated by the pairwise comparison matrix in AHP, each layer was assigned to weight. The potential landslide areas were separated into five different categories, including extremely low, low, moderate, high, and extremely high through overlay analysis in ArcMap. Then overlapping analysis with forest roads and LSM was performed to obtain information on what planned roads are located in landslide-prone areas. The results indicated that this area is greatly susceptible to landslides. In addition, 18.45% of all roads are detected to be under high and extremely high risk, 28.7% of all roads are figured out to be under moderate susceptibility classes, and the remains are found to be under low and extremely low susceptibility classes. With respect to the high performance of AUC value (81%), the AHP technique can be used in landslide hazard risk management. The implemented methodology may be an effective tool for local authorities and decision-makers in the planning of road networks.

Suggested Citation

  • Derya Mumcu Kucuker, 2025. "Analyzing landslide susceptibility of forest roads by analytical hierarchy process (AHP) in of forest planning unit of Turkiye," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(2), pages 2323-2345, January.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:2:d:10.1007_s11069-024-06882-w
    DOI: 10.1007/s11069-024-06882-w
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    References listed on IDEAS

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    1. Ujjwal Sur & Prafull Singh & Praveen Kumar Rai & Jay Krishna Thakur, 2021. "Landslide probability mapping by considering fuzzy numerical risk factor (FNRF) and landscape change for road corridor of Uttarakhand, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13526-13554, September.
    2. Juan Remondo & Alberto González & José De Terán & Antonio Cendrero & Andrea Fabbri & Chang-Jo Chung, 2003. "Validation of Landslide Susceptibility Maps; Examples and Applications from a Case Study in Northern Spain," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 437-449, November.
    3. Hamid Reza Pourghasemi & Amiya Gayen & Sungjae Park & Chang-Wook Lee & Saro Lee, 2018. "Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms," Sustainability, MDPI, vol. 10(10), pages 1-23, October.
    4. Anna Roccati & Guido Paliaga & Fabio Luino & Francesco Faccini & Laura Turconi, 2021. "GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment," Land, MDPI, vol. 10(2), pages 1-28, February.
    5. M. Ercanoglu & C. Gokceoglu & Th. Van Asch, 2004. "Landslide Susceptibility Zoning North of Yenice (NW Turkey) by Multivariate Statistical Techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 32(1), pages 1-23, May.
    6. Chang-Jo Chung & Andrea Fabbri, 2003. "Validation of Spatial Prediction Models for Landslide Hazard Mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 451-472, November.
    7. Thomas L. Saaty & Luis G. Vargas, 2012. "Models, Methods, Concepts & Applications of the Analytic Hierarchy Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-3597-6, December.
    8. Hassan Abedi Gheshlaghi & Bakhtiar Feizizadeh & Thomas Blaschke, 2020. "GIS-based forest fire risk mapping using the analytical network process and fuzzy logic," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(3), pages 481-499, February.
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