Ölmez, UmurUlutaş, AlptekinÜre, SalimYürüyen, Ali AygünMeidute-Kavaliauskiene, Ieva2025-05-042025-05-0420240101-7438https://doi.org/10.1590/0101-7438.2023.043.00286745https://hdl.handle.net/20.500.12418/34997This study investigates the logistics risk factors impacting Sivas, a strategically significant region in Turkey’s logistics network, especially within the Belt and Road Initiative (BRI) framework. Using the Best-Worst Method (BWM), the study analyzes nine main criteria and twenty-seven sub-criteria that can cause delays or disruptions in logistics activities. Data were collected from 15 logistics experts in Sivas through questionnaires and analyzed using Lingo 20.0 software. The analysis reveals that transportation risk is the most critical factor affecting logistics activities in Sivas, while organizational risks have the least impact. Specifically, accidents during transportation were identified as the most significant sub-criterion, whereas worker strikes were deemed the least significant. This study contributes to the literature by offering a detailed categorization and prioritization of logistics risks, providing actionable recommendations for mitigating these risks. Furthermore, it presents a transferable model applicable to other regions with similar logistical and economic profiles, offering valuable insights for policymakers and industry stakeholders. © 2024 Brazilian Operations Research Society.en10.1590/0101-7438.2023.043.00286745info:eu-repo/semantics/closedAccessbest and worst method (BWM)logistics risk factorsmulti criteria decision makingArticle442-s2.0-85213448302Q4