Assessing Sustainable Passenger Transportation Systems to Address Climate Change Based on MCDM Methods in an Uncertain Environment

Climate change, the emission of greenhouse gases, and air pollution are some most important challenging environmental issues. One main sources such problems is field transportation, which leads to gases. An efficient way deal with carrying out sustainable transportation reduce amount in an way. The evaluation vehicles can be considered a multi-criteria decision-making (MCDM) method due existence several criteria. In this paper, we aim provide approach based on MCDM methods spherical fuzzy set (SFS) concept evaluate prioritize for system Tehran, Iran. Therefore, have developed new integrated stepwise weight assessment ratio analysis (SWARA) measurement alternatives ranking according compromise solution (MARCOS) SFS assess criteria identified by experts. results show that criterion environment has high degree importance compared other Moreover, autonomous best gas emissions. Finally, comparing methods, it was found proposed validity efficiency.