Abstract
With the accelerated construction process of urban rail transit, it brings much consumption of energy. While the energy of our country is not enough, it is of great meaning to improve the energy efficiency for the energy saving of the urban rail transit industry. In this thesis, data envelopment analysis (DEA) is used to construct the dynamic DEA model of energy input and output in different periods of subway lines, and quantitative analysis of urban rail transit energy efficiency. Based on the data of energy input and output in different periods of Wuhan Metro’s existing operation lines, this thesis analyzes the utilization status of Wuhan Metro energy from three aspects: technical efficiency, scale efficiency and comprehensive efficiency, gaining the energy efficiency, and then measuring the dynamic energy efficiency through taking into time consideration. And on the basic of it, combining the slack variable adjustment values of each decision-making unit, it uses the difference between the adjustment value of the slack variable and the target value to identify the main influencing factors, and then providing an effective improvement strategy for the improvement of energy efficiency of different lines of Wuhan Metro.
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