Sustainable Urban Transportation: Key Criteria for a Greener Future

A sustainable transportation network has become increasingly critical for society as urban growth, environmental challenges, and transport system inefficiencies intensify. The seamless application of multi-criteria decision analysis (MCDA) as an analytical framework enables the identification, weighting, and ranking of key sustainability criteria across economic indicators, environmental factors, and social sustainability measures. The Fuzzy Logarithm Methodology of Additive Weights (F-LMAW) serves as an analytical tool to evaluate, weigh, and rank these criteria under uncertain conditions. In this study, F-LMAW—incorporating Triangular Fuzzy Numbers (TFNs)—is applied to assess sustainable transport criteria across different sustainability dimensions. The analysis integrates expert surveys, current literature, and findings from completed transportation projects to introduce five new sustainability criteria. The results reveal that safety, health, and greenhouse gas emissions are the most critical sustainability factors. Furthermore, transportation system design should prioritize human well-being and environmental protection. While economic factors, particularly infrastructure costs, remain essential, they must be evaluated alongside long-term operational sustainability requirements. This research provides a structured approach to help authorities systematize transportation funding decisions, optimize resource allocation, and integrate sustainable practices into urban transport systems.