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

机译：交通运输行业结构节能潜力分析-以浙江省为例

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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.
机译：随着能源消耗和能源储备之间的紧缩，节约能源已成为经济发展的关键。交通运输是国民经济的基础产业，它消耗大量的能源，因此成为节约能源的典型领域。基于回归分析预测模型，增长曲线预测模型和弹性系数预测模型，设计了一种组合预测模型来预测浙江省在“十二五”末期的2015年客运和货运量-年度计划。结合2015年的流量数据，建立了节能数学模型，通过优化运输结构，改善运输技术，计算了浙江省的节能量。结果表明，浙江交通运输领域具有很大的节能潜力。

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