Expert Systems with Applications, cilt.297, 2026 (SCI-Expanded)
Air cargo transportation is essential for businesses, even during global epidemics, wars, and other crises. To increase their competitiveness, airline companies develop strategic plans by prioritizing the addition of routes to new destinations. The primary reasons for do so include competition, enhanced profitability, and improved sustainability. This study uses a multi-criteria decision-making method to develop a solution approach for sustainable air cargo route selection (SACRS) originating from Turkey. More specifically, the study aims to contribute to the literature by proposing an integrated model for SACRS, determine the most sustainable routes originating from Turkey among the selected routes, rank them according to sustainability. The criteria were evaluated using Bayesian Best Worst Method (BBWM), while the routes were ranked according to the Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) method. To demonstrate the accuracy and validity of the BBWM-MARCOS analysis results, they were compared with those of the BWM and VIKOR-TOPSIS methods. The ranking results were analyzed through a sensitivity analysis to demonstrate the accuracy and applicability of the proposed model. According to the experts’ answers, the most important criteria for evaluating sustainable air cargo route selection were the Economic and Commercial Criteria, with the most important sub-criteria being Season, Annual Cargo Volumes, and Competitor Density. Analysis of the proposed model indicated that the most sustainable route among the six examined was Shanghai, while the least sustainable route was Doha.