GIS-based landslide susceptibility mapping using AHP, FMEA, and Pareto systematic analysis in central Yalova, Türkiye

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dc.authorid0000-0001-5021-3934
dc.contributor.authorDemirel, Burak
dc.contributor.authorYildirim, Eray
dc.contributor.authorCan, Eray
dc.date.accessioned2026-02-08T15:15:20Z
dc.date.available2026-02-08T15:15:20Z
dc.date.issued2025
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractYalova is a region with high landslide risk due to its climate, terrain, geographical features, and geological structure. Landslides in the region are of critical importance to produce landslide susceptibility maps and risk management because of the material and moral damage they cause. This study aimed to produce a Geographic Information System (GIS)-based landslide susceptibility map (LSM) of the Yalova central region using the Analytic Hierarchy Process (AHP), Failure Mode and Effect Analysis (FMEA), and Pareto systematic analyses. Lithology, slope, aspect, distance from roads, NDVI (Normalized Difference Vegetation Index), distance from faults, land use, rainfall, distance from rivers, and elevation factors were used in the analyses. The FMEA, Pareto, and AHP methods were used in an integrated and sequential manner to determine the LCF weights. According to the analysis, lithology was identified as the most influential factor, with the highest weight at 29.5%, while appearance had the lowest weight at 1.5%. The LSM was generated by processing the weight values in the prepared LCFs. Based on the produced landslide susceptibility map, the study area was categorized as having 29.60% very low-risk, 29.51% low-risk, 24.04% moderate-risk, 13.18% high-risk, and 3.68% very high-risk. Regional planning should be undertaken according to the landslide risk categories, and appropriate measures should be determined for each level in advance. Upon comparing the produced LSM with the existing inventory, it was determined that 95.29% of the previously occurring landslides in the region were in risky areas on the LSM. The results demonstrate the integrated applicability of the AHP, FMEA, and Pareto methods and provide a more accurate weighting of LCFs compared to a single method. The approach used in this study can be easily adapted to different regions and can be used not only for landslide analysis but also for risk assessment studies in other disciplines.
dc.identifier.doi10.1016/j.jestch.2025.102013
dc.identifier.issn2215-0986
dc.identifier.scopus2-s2.0-85218258704
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2025.102013
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5728
dc.identifier.volume64
dc.identifier.wosWOS:001432039400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier - Division Reed Elsevier India Pvt Ltd
dc.relation.ispartofEngineering Science and Technology-An International Journal-Jestech
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWOS_KA_20260207
dc.subjectLandslide susceptibility
dc.subjectAnalytic Hierarchy Process (AHP)
dc.subjectFailure Mode Effect Analysis (FMEA)
dc.subjectPareto
dc.subjectGeographic Information System (GIS)
dc.subjectRisk analysis
dc.titleGIS-based landslide susceptibility mapping using AHP, FMEA, and Pareto systematic analysis in central Yalova, Türkiye
dc.typeArticle

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