| 中国城市居民出行CO2排放特征及影响因素 |
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| 引用本文： | 刘蔚,郭彩云,陈纪瑛. 中国城市居民出行CO2排放特征及影响因素[J]. 北京理工大学学报(社会科学版), 2015, 17(1): 32-39. DOI: 10.15918/j.jbitss1009-3370.2015.0105 |
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| 作者姓名： | 刘蔚 郭彩云 陈纪瑛 |
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| 作者单位： | 北京理工大学 管理与经济学院 能源与环境政策研究中心,北京100081;中国科学技术交流中心,北京100045 |
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| 基金项目： | 国家自然科学基金资助项目(71173017,71403021) |
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| 摘 要： | 利用居民出行调查数据,测算2000-2012年北京市和上海市居民家庭日常出行交通CO2的排放量;以2000年为基年,采用对数平均迪氏因素分解(LMDI)方法,对北京市和上海市居民出行交通CO2排放变化进行分解分析.结果表明:(1)2000-2012年,北京市和上海市的居民出行交通CO2排放均呈显著增加趋势,且北京市CO2排放总量远大于上海市;(2)收入、交通工具使用次数、人口对两市居民日常出行交通CO2排放变化起促进作用;(3)居民出行强度和居民出行结构对两市居民出行CO2排放的增加起抑制作用;(4)不同交通工具碳排放水平对北京市CO2排放变化的作用为负,而对上海市作用为正.
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| 关 键 词： | 居民出行方式 低碳交通 CO2排放 对数平均迪氏因素分解 |
| 收稿时间： | 2014-08-30 |
Characteristics and Influence Factors for Mega-urban Resident Daily Trip CO2 Emissions in China |
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| LIU Wei,GUO Caiyun and CHEN Jiyin. Characteristics and Influence Factors for Mega-urban Resident Daily Trip CO2 Emissions in China[J]. Journal of Beijing Institute of Technology(Social Sciences Edition), 2015, 17(1): 32-39. DOI: 10.15918/j.jbitss1009-3370.2015.0105 |
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| Authors: | LIU Wei GUO Caiyun CHEN Jiyin |
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| Affiliation: | 1.Center for Energy & Environmental Policy Research, School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China2.China Science and Technology Exchange Center, Beijing 100045, China |
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| Abstract: | This paper calculates the carbon emissions from urban passenger transportation sector in Beijing and Shanghai from 2000 to 2012, and then discusses the effects of population, per capita economic activity, transportation intensity, transportation mode share, vehicle-use intensity and emission coefficient on carbon emissions based on LMDI decomposition analysis. Results shows that:(1) carbon emissions due to urban traffic has increased rapidly both in Beijing and Shanghai, and the emissions in Beijing are far larger than Shanghai;(2) per capita disposable income, vehicle-use intensity, and population effect are found to be the main drivers that increase household daily travel carbon emissions;(3)transportation intensity and transportation mode share have significant effects on the reduction of carbon emissions;(4)emission coefficient plays the opposite effect on carbon emissions in Beijing and Shanghai. |
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| Keywords: | individual behavior sustainable transport carbon emission LMDI decomposition analysis |
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