摘要An energy consumption logarithmic mean divisia index decomposition model is built and applied to quantitatively analyze the effects of structure, energy consumption intensity, and turnover of freight transportation on freight transportation energy consumption during 1990-2011. The results demonstrate that a dramatic growth in freight turnover is the main driving force for the increasing in freight transportation energy consumption,which is further intensified by a remarkable in creasing in high-energy-consuming transportation modes' increased proportion. However, the decline in energy consumption intensity of transportation mode is insufficient to restrain the growth of freight transportation energy consumption; therefore, the increasing trend in freight transportation energy consumption is unavoidable. Consequently, integrated measures should be taken to ensure sustainable development of transportation.
Abstract：An energy consumption logarithmic mean divisia index decomposition model is built and applied to quantitatively analyze the effects of structure, energy consumption intensity, and turnover of freight transportation on freight transportation energy consumption during 1990-2011. The results demonstrate that a dramatic growth in freight turnover is the main driving force for the increasing in freight transportation energy consumption,which is further intensified by a remarkable in creasing in high-energy-consuming transportation modes' increased proportion. However, the decline in energy consumption intensity of transportation mode is insufficient to restrain the growth of freight transportation energy consumption; therefore, the increasing trend in freight transportation energy consumption is unavoidable. Consequently, integrated measures should be taken to ensure sustainable development of transportation.
基金资助:Supported by the National Science and technology support program of China (No.2012BAC20B10);and the Fundamental Research Funds for the Central Universities (No.2011JBM243)
武旭, 王瑞军, 郎爽, 胡思继. 货物运输能源消耗影响因素分析[J]. Journal of Highway and Transportation Research and Development, 2013, 7(4): 96-102.
WU Xu, WANG Rui-jun, LANG Shuang, HU Si-ji. Analysis of the Factors Affecting Freight Transportation Energy Consumption Based on LMDI. Journal of Highway and Transportation Research and Development, 2013, 7(4): 96-102.
[1] LIU Jian-cui. Energy Savings Potential and Carbon Emissions Prediction for the Transportation Sector in China[J]. Resources Science, 2011, 33(4):640-646. (in Chinese)
[2] LI Ying-ying. Analysis of Transport Structure and Coordination Evaluation[D]. Beijing:Beijing Jiaotong University, 2010. (in Chinese)
[3] BOYD G A, HANSON D A, STERNER T. Decomposition Analysis for Policy Making in Energy:Which is the Preferred Method[J]. Energy Policy, 2004, 32, 1131-1139.
[4] YOICHI K. Impact of Carbon Dioxide Emission Control on GNP Growth:Interpretation of Proposed Scenarios. Presented at the IPCC Energy and Industry Subgroup[D]. Paris:Response Strategies Working Group, 1990.
[5] EUGENE A R, THOMAS D S. Human Drivers of National Greenhouse-gas Emissions[J]. Nature Climate Change,2012, 6(2), 581-586.
[6] SUN J W. Changes in Energy Consumption and Energy Intensity:A Complete Decomposition Model[J]. Energy Economics, 1998, 20(1), 85-100.
[7] DENG Xiao. Carbon Emission Factor Decomposition Model and Empirical Research Based on the LMDI Method-Taking Hubei Province as Example[D]. Wuhan:Huazhong Science and Technology University, 2009. (in Chinese)
[8] ANG B W. The LMDI Approach to Decomposition Analysis:A Practical Guide[J]. Energy Policy,2005, 33(7), 867-871.
[9] HU Si-ji. Traffic and Transportation[M]. Beijing:China Communications Press, 2001. (in Chinese)
[10] China Communications and Transportation Association. Yearbook of China Transportation and Communications, 1991-2009[M]. Beijing:Yearbook of China Transportation and Communications Press, 2009. (in Chinese)
[11] FU Zhi-huan, HU Si-ji, JIANG Xiu-shan, et al. Study on Energy Savings in Transportationin China[M]. Beijing:China Communications Press, 2011. (in Chinese)
[12] XI Jiang-peng. Study of Energy Saving and Emission Reduction in Road Transportation[D]. Xi'an:Chang'an University, 2008. (in Chinese)
[13] ZHOU Xin-jun. Present Situation and Trend of Energy Consumption in the Traffic and Transportation Industry[J]. Sino-Global Energy, 2010, 15(7):9-18. (in Chinese)
[1]
章玉. 中国城市公交的运营效率与服务效果研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(1): 105-110.
[2]
胡志华, 魏晨, 陶莎. 基于混合进化算法的甩挂配送问题研究[J]. Journal of Highway and Transportation Research and Development, 2014, 8(2): 105-110.
[3]
王淑云, 陈静. 生产商-分销商-零售商一体化冷链库存模型[J]. Journal of Highway and Transportation Research and Development, 2013, 7(4): 87-95.
2013, Vol. 7 
