Driving Mechanism of Traffic Carbon Emissions in Sichuan Province Based on Path Analysis

被引：0
|
作者：
Zuo D.-J. [1 ,2 ,3 ]
Dai W.-T. [1 ]
机构：
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] Comprehensive Transportation Intelligent National Local United Engineering Laboratory, Southwest Jiaotong University, Chengdu
[3] National Research Center on Strategic Development of High-speed Railway, Southwest Jiaotong University, Chengdu
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2018年 / 18卷 / 02期
关键词：
Decision coefficient; Driving mechanism; Environmental effect; Path analysis; Transportation economy;
D O I：
10.16097/j.cnki.1009-6744.2018.02.034
中图分类号：
学科分类号：
摘要：
To further analyze the internal driving mechanism of carbon emissions in the transportation industry, this paper takes the measurement data of Sichuan Province during 1995 to 2014 as an example. Then ASIF data structural principles and stepwise regression methods are used to identify the valid driving factors. Furthermore, the direct and indirect effect of each factor on carbon emissions' growth is obtained by path analysis. The result shows that economic intensity, transportation intensity, relative structure and energy consumption intensity are the primary factors affecting the carbon emissions there. Economic intensity is the dominant determiner of carbon emissions, and its direct pull on that is remarkable. The effects of transportation intensity and relative structure on carbon emissions are motivated strongly by economic strength, while energy intensity can apply directly to that. It can be confirmed that the transportation and energy consumption intensity improves at a certain extent in Sichuan Province with the promotion of its transportation industry, but it still not enough to offset the growth of carbon emissions which led by the economic strength steadily ascending. Copyright © 2018 by Science Press.
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页码：230 / 235
页数：5
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