Carbon flow through continental-scale ground logistics transportation

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期刊论文

作者：

Cui, Haotian;Lu, Yonglong;Zhou, Yunqiao;He, Guizhen;Song, Shuai;...

通讯作者：

Yonglong Lu

作者机构：

[Cui, Haotian; Lu, Yonglong] Xiamen Univ, State Key Lab Marine Environm Sci, Minist Educ Coastal Wetland Ecosyst, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China.

[Cui, Haotian; Lu, Yonglong] Xiamen Univ, Key Lab, Minist Educ Coastal Wetland Ecosyst, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China.

[Du, Di; Yi, Xiaojie; Cui, Haotian; Wang, Rui; Han, Guoxiang; Song, Shuai; Lu, Yonglong; He, Guizhen; Yang, Shengjie] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.

[Du, Di; Yi, Xiaojie; Cheng, Yinyi; Cui, Haotian; Wang, Rui; Han, Guoxiang; Wang, Siyu; Song, Shuai; He, Guizhen] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.

[Zhou, Yunqiao] Chinese Acad Sci, State Key Lab Tibetan Plateau Earth Syst Resource, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China.

通讯机构：

[Yonglong Lu] S

State Key Laboratory of Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian 361102, China<&wdkj&>State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

语种：

英文

关键词：

Energy Modeling;Energy management;Energy policy;Energy resources

期刊：

iScience

ISSN：

2589-0042

年：

2023

卷：

期：

页码：

105792

DOI：

10.1016/j.isci.2022.105792

基金类别：

National Natural Science Foundation of China [71761147001, 42030707]; National Key R&D Program of China [2019YFC0507505]; International Partnership Program by the Chinese Academy of Sciences [121311KYSB20190029]; Fundamental Research Fund for the Central Universities [20720210083]

机构署名：

本校为其他机构

院系归属：

城市与环境科学学院

摘要：

The flourishing logistics in both developed and emerging economies leads to huge greenhouse gas (GHG) emissions; however, the emission fluxes are poorly constrained. Here, we constructed a spatial network of logistic GHG emissions based on multisource big data at continental scale. GHG emissions related to logistics transportation reached 112.14Mt CO(2)-equivalents (CO(2)e), with seven major urban agglomerations contributing 63% of the total emissions. Regions with short transport distances and well-developed road infrastructure had relatively high emission efficiency. Underlying value flow of...

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Carbon flow through continental-scale ground logistics transportation

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