Energy saving and emission reduction method for green transportation in tourist cities based on grey correlation degree

Abstract

To solve the problem of high energy consumption in the existing tourism city green transportation energy saving and emission reduction methods, this paper proposes a new method based on grey correlation degree for tourism city green transportation energy saving and emission reduction. Construct a green transportation energy demand prediction model and a greenhouse gas emission calculation model, calculate vehicle greenhouse gas emissions, and use the grey correlation analysis method to connect the models to select the best vehicle energy saving and emission reduction parameters to achieve transportation energy saving and emission reduction. The research data shows that compared with the traditional method, the proposed method can effectively reduce the emission energy consumption, the energy saving rate can be up to 93%, and the minimum greenhouse gas emission is 210 tons. It fully shows that the proposed energy saving and emission reduction methods of green transportation in tourist cities have better energy saving and emission reduction effects.