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基于能耗视角的区域运输系统演化机理

  

  1. 1. 西南交通大学 交通运输与物流学院，四川 成都， 610031；2. 广东工业大学 土木与交通工程学院，广东 广州 510016；3.广东工业大学 机电工程学院，广东 广州 510016
  • 出版日期:2016-04-30 发布日期:2016-05-27
  • 作者简介:卢建锋（1983-），男，江西省人，讲师，博士研究生，主要研究方向为低碳交通发展理论与应用
  • 基金资助:

    国家自然科学基金资助项目（61573110）

Evolution Mechanism of Regional Transport System in Energy Consumption Perspective

  1. 1.College of Transportation and Logistic in Southwest Jiaotong University,Chengdu 610031,China；2.College of Civil and Traffic Engineering,Guangdong University of Technology,Guangzhou 510006,China；3.School of Electromechanical Engineering，Guangdong University of Technologg，Guangzhou 510006，China
  • Online:2016-04-30 Published:2016-05-27

摘要：

从能耗视角出发，针对区域运输系统演化机理进行研究。运用自组织理论和方法，建立了基于哈肯模型的区域运输系统演化方程。利用无残差分析法对运输系统能耗因素贡献率进行分析，发现运输结构比例和能源强度对系统能耗变化贡献较大。应用区域运输系统演化模型，以中国16个省市运输业为样本进行研究，结果表明，运输结构能耗系数是区域运输系统演化的序参量。为降低区域运输系统能耗，应不断优化运输结构，努力降低交通工具的能耗，以及提高运输组织管理水平。

关键词: 区域运输系统, 能耗影响因素, 哈肯模型, 演化机理

Abstract:

From the perspective of energy consumption, the evolution mechanism for regional transport system is studied. A regional transport energy consumption evolution equation system based on Haken model is established using the self-organization theory and method. By using non-residual analysis method, the contribution rate of energy consumption factors of transportation system is analyzed. The results show that the proportion of transport structure and energy intensity contribute more greatly to system power consumption changes. Through the application of the regional transport system evolution model, transport samples from 16 provinces and cities in China are studied. The results show that the energy transport structure factor is the order parameter of regional transport system energy consumption evolution. To reduce energy consumption in the transport area, it is proposed that transportation structure should be optimized, the energy consumption of various modes of transport be reduced and transportation organization management level be improved.

Key words: regional transport system, energy consumption influence factors, Haken model； evolution mechanism