基于能源消耗的货物运输结构优化

为降低货物运输的能源消耗,通过统计数据分析我国的货物运输结构和能源消耗现状,在利用SPSS软件对货物周转量进行回归预测的基础上,引入总能耗约束,建立基于能源消耗的货物运输结构线性优化模型,优化各种运输方式的分担率.文中以我国2020年为例进行实证分析,利用Lingo求得的最优解在满足等量货运需求的情况下,节约了2.7%的能源消耗,且产生的调整成本远小于得到的环保收益,验证了模型的可行性和合理性.

Cargo Transportation Structure Optimization Based on Energy Consumption

In order to reduce cargo transportation energy consumption, our country's current cargo transportation structure and energy consumption by statistical data were analyzed. By using the SPSS software to make regression prediction on the basis of freight turnover, the total energy consumption constraint inlet, the linear optimization model were built based on cargo transport-ation energy consumption structure, and the sharing ratio of the various modes of transport was optimized. In the case of meeting the same amount of freight demand, an empirical analysis was made in 2020 for China, using the Lingo software to obtain the optimal solutions. The research result show that 2.7% energy consumption is reduced and the structure adjustment cost is much less than environmental benefit, which proves the feasibility and rationality of the model.