Urban transport infrastructure is a major source of carbon emissions, energy consumption, and air pollution, which creates significant barriers to sustainable urban development. This study proposes an integrated multi-criteria decision-making framework for assessing the environmental sustainability of urban transport infrastructure based on green logistics principles. The proposed approach combines the Analytic Hierarchy Process (AHP), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and VIKOR within a unified computational workflow. Tashkent was selected as the case study, and three development scenarios were examined: S1, a conventional transport system; S2, a partially green system with a higher share of hybrid vehicles and energy-efficient infrastructure; and S3, a green logistics-based system relying on low-carbon transport, intelligent management, and sustainable infrastructure. Four environmental criteria were considered: CO2 emissions, energy consumption per kilometer, Air Quality Index, and environmental impact score. The results show that scenario S3 demonstrates the highest sustainability performance, reducing CO2 emissions from 5.8 to 2.2 thousand t/year, energy consumption from 5.1 to 2.0 MJ/km, AQI from 82 to 31, and environmental impact score from 0.75 to 0.28. Sensitivity analysis confirmed the stability of the ranking under ±20% weight variation. The novelty of the study lies in the integration of AHP, TOPSIS, and VIKOR into a scenario-based decision-support framework for sustainable urban transport planning in a developing city context.
Keywords
Green LogisticsUrban Transport InfrastructureEnvironmental SustainabilityMulti-Criteria Decision-MakingAHPTOPSISVIKORScenario-Based Assessment
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