交通运输系统工程与信息 ›› 2015, Vol. 15 ›› Issue (1): 112-117.

• 系统工程理论与方法 • 上一篇    下一篇

节能减排视角下的公路运输周转量空间计量研究

姚宝珍1, 沈飞2, 姚锦宝3, 王文思4, 王爽*1   

  1. 1. 大连理工大学汽车工程学院, 辽宁,大连116024;2. 北京交通大学交通运输学院,北京100044; 3. 北京交通大学土建学院,北京100044;4. 大连海事大学交通运输管理学院,辽宁,大连116026
  • 收稿日期:2013-12-09 修回日期:2014-03-21 出版日期:2015-02-25 发布日期:2016-02-25
  • 作者简介:姚宝珍(1976-),女,安徽安庆人,副教授,博士.
  • 基金资助:

    国家自然科学基金(51208079);中国博士后科学基金(2013M530924).

Spatial Econometric Analysis of Road Turnover under the Energy Conservation and Emissions Reduction

YAO Bao-zhen 1, SHEN Fei2, YAO Jin-bao 2,WANGWen-si4,WANG Shuang1   

  1. 1. School of Automotive Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China; 2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 3. School of Civil Engineering & Architecture, Beijing Jiaotong University, Beijing 100044, China; 4. Transportation Management College, Dalian Maritime University, Dalian 116026, Liaoning, China
  • Received:2013-12-09 Revised:2014-03-21 Online:2015-02-25 Published:2016-02-25

摘要:

针对公路运输面临节能减排的严峻形势,提出一种公路运输周转量的空间计量模型来分析公路运输周转量的空间相关性.首先,用空间自相关Moran指数法检验中国省域公路运输周转量的全域空间依赖性,然后,利用公路运输周转量的局域空间相关性检验确定空间集群效应高的地区.在此基础上,构建公路运输周转量的空间滞后模型和空间误差模型,分析省域公路运输周转量的影响因素.通过情景假设考察空间集群效应高的地区,公路运输周转量减少对周边地区的影响,以及其对全国节能减排效果的贡献.

关键词: 公路运输, 节能减排, 空间计量模型, 运输周转量, 空间相关

Abstract:

The spatial econometric model of road turnover (freight and passenger) is studied under the background of energy saving and emission reduction in transportation industry. Firstly, Moran’s I index is presented to examine the spatial correlation of provincial road turnover in China. And then, The Local Indicators of Spatial Association of road turnover is used to select the regions with high spatial cluster effect. On this basis, the spatial lag model and spatial error model of road turnover are conducted to analyze the influences of provincial road turnover. A certain scenario is established to analyze the influence of the reduction of road turnover in regions with high spatial cluster effect to their adjacent areas, and the contributions to energy saving and emission reduction of the whole country.

Key words: highway transportation, energy saving and emission reduction, spatial econometrics model, transport turnover, spatial dependence

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