Citation: | SUN Qi-peng, JIA Shi-wei, ZHU Lei, XU Cheng. Dynamic situation combination decomposition model of urban traffic energy consumption[J]. Journal of Traffic and Transportation Engineering, 2013, 13(3): 94-100. doi: 10.19818/j.cnki.1671-1637.2013.03.013 |
[1] |
黄建中. 1980年代以来我国特大城市居民出行特征分析[J]. 城市规划学刊, 2005(3): 71-75. doi: 10.3969/j.issn.1000-3363.2005.03.013
HUANG Jian-zhong. Analysis on the characteristics of resident trip in Chinese mega-cities since1980s[J]. Urban Planning Forum, 2005(3): 71-75. (in Chinese). doi: 10.3969/j.issn.1000-3363.2005.03.013
|
[2] |
张明, 穆海林. 基于LMDI分解方法的中国特大城市客运能源消耗研究[J]. 北京大学学报: 自然科学版, 2010, 46(3): 483-486. https://www.cnki.com.cn/Article/CJFDTOTAL-BJDZ201003029.htm
ZHANG Ming, MU Hai-lin. Research on the change of motorized passenger transport energy consumption in selected Chinese cities based on LMDI method[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2010, 46(3): 483-486. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-BJDZ201003029.htm
|
[3] |
ZHANG Zhong-xiang. Decoupling Chinas carbon emissions increase from economic growth: an economic analysis and policy implications[J]. World Development, 2000, 28(4): 739-752. doi: 10.1016/S0305-750X(99)00154-0
|
[4] |
FAN Ying, LIU Lan-cui, WU Gang, et al. Change in carbon intensity in China: empirical findings from1980-2003[J]. Ecological Economics, 2007, 62(3/4): 683-691.
|
[5] |
VINUYA F, DIFURIO F, SANDOVAL E. A decomposition analysis of CO 2 emissions in the United States[J]. AppliedEconomics Letters, 2010, 17(10): 925-931.
|
[6] |
ANG B W, ZHANG F Q. A survey of index decomposition analysis in energy and environmental analysis[J]. Energy, 2000, 25(12): 1149-1176. doi: 10.1016/S0360-5442(00)00039-6
|
[7] |
ANG B W. Decomposition analysis for policy making in energy: which is the preferred method?[J]. Energy Policy, 2004, 32(9): 1131-1139. doi: 10.1016/S0301-4215(03)00076-4
|
[8] |
SORRELL S, LEHTONEN M, STADLETON L, et al. Decoupling of road freight energy use from economic growth in the United Kingdom[J]. Energy Policy, 2013, 41(2): 84-97.
|
[9] |
BALEZENTIS A, BALEZENTIS T, STREIMIKIENE D. The energy intensity in Lithuania during1995-2009: a LMDI approach[J]. Energy Policy, 2011, 39(11): 7322-7334. doi: 10.1016/j.enpol.2011.08.055
|
[10] |
李政, 付峰, 高丹. 中国特大城市客运交通能源需求变化的因素分析[J]. 清华大学学报: 自然科学版, 2008, 48(11): 1945-1948. doi: 10.3321/j.issn:1000-0054.2008.11.018
LI Zheng, FU Feng, GAO Dan. Decomposition analysis of motorized passenger transport energy demand changes in selected Chinese cities[J]. Journal of Tsinghua University: Science and Technology, 2008, 48(11): 1945-1948. (in Chinese). doi: 10.3321/j.issn:1000-0054.2008.11.018
|
[11] |
汪宏韬. 基于LMDI的上海市能源消费碳排放实证分析[J]. 环境与资源, 2010, 20(5): 143-146. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGRZ2010S2038.htm
WANG Hong-tao. Logarithmic mean divisia index model and the carbon emission mechanism of energy sector in Shanghai[J]. Resources and Environment, 2010, 20(5): 143-146. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGRZ2010S2038.htm
|
[12] |
朱松丽. 北京、上海城市交通能耗和温室气体排放比较[J]. 城市交通, 2010, 8(3): 58-63. https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT201003015.htm
ZHU Song-li. Comparison of transportation energy consumption and greenhouse gas emission between Beijing and Shanghai[J]. Urban Transport of China, 2010, 8(3): 58-63. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT201003015.htm
|
[13] |
贾顺平, 毛保华, 刘爽, 等. 中国交通运输能源消耗水平测算与分析[J]. 交通运输系统工程与信息, 2010, 10(1): 22-27. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201001003.htm
JIA Shun-ping, MAO Bao-hua, LIU Shuang, et al. Calculation and analysis of transportation energy consumption level in China[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(1): 22-27. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201001003.htm
|
[14] |
EOM J Y, SCHIPPER L. Trends in passenger transport energy use in South Korea[J]. Energy Policy, 2010, 38(7): 3598-3607.
|
[15] |
ANG B W. The LMDI approach to decomposition analysis: a practical guide[J]. Energy Policy, 2005, 33(7): 867-871.
|