A more self-contained comprehensive evaluation indicator system of urban public transportation system was established in this thesis. Comprehensive evaluation based on grey entropy emphasized the quantifying process of incertitude decision-making and also can dispense with supplying other message, so an evaluation method of grey entropy was introduced into the field of urban public transportation system evaluation. And a comprehensive evaluation model of urban public transportation system based on grey entropy was established. Using the model, it analyzed the indicators of urban public transportation system, calculated the balanced adjacent degree between the evaluation object and ideal catch. And then evaluated that based on the balanced adjacent degree. At last, the model is used in a medium-sized city’s public transportation system comprehensive evaluation. It is validated that the model is scientific and feasible.
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