DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ

Determining and prioritizing sustainability strategies in railway transportation is a multi-criteria decision-making problem with environmental, economic, and social dimensions. Uncertain or inadequate execution of this process: Waste of resources can lead to significant issues such as increased greenhouse gas emissions, declining competitiveness, and stakeholder dissatisfaction. In addition, failure to comply with sustainability goals is a serious obstacle to long-term development and transformation in the sector. Strategic decisions should be handled with scientific and systematic approaches in this context. In this study, a hybrid model consisting of the integration of SPC (Symmetry Point of Criterion) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods based on q-rung orthopair fuzzy sets is proposed to determine and prioritize sustainability strategies in rail transportation. According to the findings, the most critical criteria are contribution to employment, public-private partnership potential, and community and user acceptance. In addition to increasing railway competitiveness in international trade, investing in projects that increase speed, and capacity has been the prominent strategy. These findings reveal that the social dimension is decisive in sustainable railway strategies. In particular, the prominence of criteria such as contribution to employment, public-private sector cooperation, and public acceptance shows that technical and social impact dimensions should shape strategic investments.