In recent years, the metro network has been continuously expanding in scale and coverage. However, at the same time, passengers’ demands for service quality, comfort experience and operational efficiency have also been constantly rising. To improve the public transportation service system, enhancing the passenger experience and service quality of the subway system has become an important issue that needs to be urgently addressed at present. Given that the subway system involves multiple stakeholders, how to integrate passengers’ opinions has become an important direction for promoting the improvement of subway services. Previous evaluations were mostly based on maximizing self-interest, ignoring passengers’ altruistic-fair social preferences. In fact, passengers’ decisions are jointly influenced by their own needs, fairness and social well-being. Therefore, this paper proposes an altruistic-fair utility multi-objective optimization model based on the probability distribution function. Incorporating social preferences into the assessment framework to depict passengers’ decision-making behaviors that balance personal interests with social equity can more comprehensively reflect their behavioral preferences and provide solid support for the evaluation of metro service quality.