Assessment of landslides induced by earthquake risk of Istanbul: A comprehensive study utilizing an integrated DFS-AHP and DFS-EDAS approach


Yalcin Kavus B., TAŞKIN A.

Soil Dynamics and Earthquake Engineering, vol.191, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Nəşrin Növü: Article / Article
  • Cild: 191
  • Nəşr tarixi: 2025
  • Doi nömrəsi: 10.1016/j.soildyn.2025.109285
  • jurnalın adı: Soil Dynamics and Earthquake Engineering
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, Environment Index, INSPEC, Metadex, Civil Engineering Abstracts
  • Açar sözlər: Decomposed fuzzy analytic hierarchy process, Decomposed fuzzy evaluation based on distance from average solution, Landslides induced by earthquake, Multi-criteria decision-making, Secondary disaster
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Yox

Qısa məlumat

Secondary disasters, the grim aftermath of earthquakes, encompass a range of life-threatening risks, including aftershocks, building collapses, landslides, tsunamis, fires, and water pollution. These disasters, far from being mere inconveniences, can cause significant damage and loss of life. The gravity of secondary disasters, particularly in high-risk areas like Istanbul, underscores the need for comprehensive study and preparation. This study specifically addresses the risk of post-earthquake landslides in Istanbul and emphasizes the importance of proactive preparation to mitigate the consequences of these hazards. It explicitly examines the European side of Istanbul and aims to rank the districts according to their post-earthquake landslide risk. The criteria for weighting are determined based on a comprehensive review of the literature on landslide risks triggered by earthquakes. The Decomposed Fuzzy Analytic Hierarchy Process (DFS-AHP) is used to determine the importance of each criterion, and the Decomposed Fuzzy Evaluation based on the Distance from Average Solution (DFS-EDAS) method ranks the alternatives. This study introduces a new approach that contributes methodologically and practically to the limited literature on secondary disasters. In particular, this study presents the first application of AHP and EDAS models integrated with DFS. This approach advances the literature and offers a replicable framework that can be adapted for similar risk assessments in other regions worldwide. By identifying high-risk zones and prioritizing areas for emergency response, this methodology provides a practical tool that can support disaster preparedness and response strategies globally. The study also aims to support municipal authorities in formulating effective preparedness and risk mitigation strategies appropriate to Istanbul's unique geological and urban structure.