[1] IPCC. Climate Change 2022: Mitigation of climate
change. Contribution of working group III to the sixth
assessment report of the intergovernmental panel on
climate change[R]. UK and USA: IPCC, 2022.
[2] EPA. Greenhouse gas inventory data explorer[DB/OL].
(2023-02-01) [2023-03-13]. https: //cfpub. epa. gov/
ghgdata/ inventoryexplorer/ #allsectors/ allsectors/ allgas/
econsect/all.
[3] EEA. EEA greenhouse gases: Data viewer[DB/OL].
(2021-04-13) [2023-03-13]. https://www.eea.europa.eu/
data-and-maps/ data/ data-viewers/ greenhouse-gases�viewer.
[4] IEA. Greenhouse gas emissions from energy [DB/OL].
(2022-08-02) [2023-03-13]. https: //www.iea.org/ data�and-statistics/ data-product/ greenhouse-gas-emissions�from-energy.
[5] 王世进, 蒯乐伊. 中国交通运输业碳排放驱动因素与达峰路径[J]. 资源科学, 2022, 44(12): 2415-2427.
[WANG S J, KUAI L Y. Driving factors and peaking path
of CO2 emissions for China's transportation sector[J].
Resources Science, 2022, 44(12): 2415-2427.]
[6] SHABBIR R, AHMAD S S. Monitoring urban transport
air pollution and energy demand in Rawalpindi and
Islamabad using leap model[J]. Energy, 2010, 35(5):
2323-2332.
[7] HONG S, CHUNG Y, KIM J, et al. Analysis on the level
of contribution to the national greenhouse gas reduction
target in Korean transportation sector using LEAP model
[J]. Renewable and Sustainable Energy Reviews, 2016,
60: 549-559.
[8] 刘淳森, 曲建升, 葛钰洁, 等. 基于LSTM模型的中国交通运输业碳排放预测[J/OL]. 中国环境科学. (2022-
12-08) [2023-03-13]. https: //doi. org/ 10.19674/ j.cnki.
issn1000- 6923.20221207.010. [LIU C S, QU J S,
GE Y J, et al. Carbon emission forecasting in China's
transportation sector based on LSTM model[J/OL]. China
Environmental Science. (2022-12-08) [2023-03-13].
https: //doi. org/ 10. 19674/ j. cnki. issn 1000- 6923.
20221207. 010.]
[9] 朱长征, 杨莎, 刘鹏博, 等. 中国交通运输业碳达峰时间预测研究[J]. 交通运输系统工程与信息, 2022, 22
(6): 291-299. [ZHU C Z, YANG S, LIU P B, et al. Study
on carbon dioxide peak of transportation industry in
China[J]. Journal of Transportation Systems Engineering
and Information Technology, 2022, 22(6): 291-299.]
[10] 王世进, 蒯乐伊. 中国交通运输业碳排放驱动因素与达峰路径[J]. 资源科学, 2022, 44(12): 2415-2427.
[WANG S J, KUAI L Y. Driving factors and peaking path
of CO2 emissions for China's transportation sector[J].
Resources Science, 2022, 44(12): 2415-2427.]
[11] 胡茂峰, 郑义彬, 李宇涵. 多情景下湖北省交通运输碳排放峰值预测研究[J]. 环境科学学报, 2022, 42(4):
464-472. [HU M F, ZHENG Y B, LI Y H. Forecasting of
transport carbon emission peak in Hubei Province under
multiple scenarios[J]. Acta Scientiae Circumstantiae,
2022, 42(4): 464-472.]
[12] 蒋玲茜. 碳达峰背景下浙江省交通领域碳排放情景预测[J]. 综合运输, 2023, 45(4): 188-192. [JIANG L X.
Scenario prediction of carbon emission in transportation
sector in Zhejiang province under the backgroundof
carbon peak[J]. China Transportation Review, 2023, 45
(4): 188-192.]
[13] HEAPS C G. User guide for LEAP 2005[EB/OL].
(2005-05-01) [2023-03-13]. https://unfccc.int/resource/
cd_roms/ na1/mitigation/Module_5/Module_5_1/b_tools/
LEAP/Manuals/Leap_Use_Guide_English.pdf.
[14] 魏庆琦, 赵嵩正, 肖伟. 我国交通运输结构优化的碳减排能力研究[J]. 交通运输系统工程与信息, 2013, 13
(3): 10-17, 32. [WEI Q Q, ZHAO S Z, XIAO W, et al. A
quantitative analysis of carbon emissions reduction
ability of transportation structure optimization in China
[J]. Journal of Transportation Systems Engineering and
Information Technology, 2013, 13(3): 10-17, 32.]
[15] 吴雪妍, 毛保华, 周琪, 等. 交通运输业不同方式碳排放因子水平比较研究[J]. 华东交通大学学报, 2022,
39(4): 41-47. [WU X Y, MAO B H, ZHOU Q, et al.
Comparative of carbon emission factor levels in different
modesof transportation industry[J]. Journal of East China
Jiaotong University, 2022, 39(4): 41-47.]
[16] 薛露露, 靳雅娜, 禹如杰, 等. 中国道路交通2050年“净零”排放路径研究[R]. 北京: 世界资源研究所, 2019.
[XUE L L, JIN Y N, YU R J, et al. Toward "net zero"
emissions in the road transport sector in China[R].
Beijing: World Resources Institute, 2019.]
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