摘要
以西南地区云贵川三省为例,通过排放系数法,利用2011—2019年三省的能源消耗量数据,对交通运输业进行了碳测算,针对能源结构、效率、产业结构、经济、人口5个常见驱动因素进行定量分析,并结合三省区域特点和交通现状,增加了公共交通参与度、公共交通设施饱和度、土地利用结构、绿色植被覆盖率4个因素进行分析。结果表明:在2011—2019年间,云贵川三省能源效率、居民公共交通参与度、公共交通车辆饱和度的平均值小于1,对交通运输业碳排放起抑制作用,其中能源效率的抑制作用最显著,平均值为0.952,其余6个因素平均值大于1,起促进作用,区域经济因素促进作用显著,平均值为1.047。最后根据研究结果为云贵川三省的交通运输业提出了节能减排建议。
This paper takes Yunnan, Guizhou and Sichuan provinces in southwest China as examples, and carries out carbon calculation of the transportation industry by using the energy consumption data of the three provinces from 2011 to 2019 through the emission coefficient method. The five common driving factors of energy structure, efficiency, industrial structure, economy and population are quantitatively analyzed, and, combined with the regional characteristics and traffic status of the three provinces, four factors are added for analysis, including public transportation participation, public transportation facility saturation, land use structure and green vegetation coverage. The analysis results show that, from 2011 to 2019, the average values of energy efficiency, residents’ public transportation participation and public transportation vehicle saturation in the three provinces are less than 1, having a suppressive effect on carbon emissions in the transportation industry, of which the most significant average value of energy efficiency inhibition is 0.952;the average value of the remaining six factors is greater than 1, which plays a promoting role, and the significant average value of the promoting role of the regional economic factors is 1.047. Finally, according to the research results, the paper proposes energy conservation and emission reduction for the transportation industry in the three provinces.
作者
王杰
郑琰
姜晓红
WANG Jie;ZHENG Yan;JIANG Xiaohong(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nanjing 210037,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2023年第1期249-256,共8页
Journal of Chongqing University of Technology：Natural Science
基金
国家自然科学基金项目(71701099,71871111)
江苏省高等学校自然科学研究项目(17KJB580008)。
关键词
综合交通运输业
对数平均迪氏分解法
碳排放
驱动因素
integrated transportation
logarithmic mean divisia index
carbon emissions
the driving factor
