Analysis of Structural Energy-saving Potential in Transportation Industry: a Case Study of Zhejiang Province

摘要

With the contraction between energy-consumption and energy-reserve intensified, saving energy has become essential to the development of economy. Transportation, a fundamental industry of the national economy, consumes a huge amount of energy, so it becomes a typical field to save energy. Based on the Regression Analysis Prediction Model, the Growth Curve Prediction Model and the Elastic Coefficient Prediction Model, a Combined Prediction Model is designed in this paper to forecast the passenger and freight volume of Zhejiang Province in 2015, the final phase of the National Twelfth Five-Year Plan. With the volume data of 2015 predicted, an energy-saving mathematical model is built to calculate the amount of energy saved in Zhejiang Province after optimizing the transportation structure and improving the transportation technology. The result shows that the transportation field in Zhejiang has a great energy-saving potential.