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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26238
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dc.contributor.authorYuan, Y-
dc.contributor.authorJiang, X-
dc.contributor.authorLai, CS-
dc.date.accessioned2023-04-02T14:35:51Z-
dc.date.available2023-04-02T14:35:51Z-
dc.date.issued2023-03-25-
dc.identifierORCID iD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438-
dc.identifier4179-
dc.identifier.citationYuan, Y., Jiang, X. and Lai, C.S. (2023) 'A Perfect Decomposition Model for Analyzing Transportation Energy Consumption in China', Applied Sciences, 13 (7), 4179, pp. 1 - 14. doi: 10.3390/app13074179.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/26238-
dc.descriptionData Availability Statement: Data is unavailable due to privacy or ethical restrictions.en_US
dc.description.abstractCopyright © 2023 by the authors. Energy consumption in transportation industry is increasing. Transportation has become one of the fastest energy consumption industries. Transportation energy consumption variation and the main influencing factors of decomposition contribute to reduce transportation energy consumption and realize the sustainable development of transportation industry. This paper puts forwards an improved decomposition model according to the factors of change direction on the basis of the existing index decomposition methods. Transportation energy consumption influencing factors are quantitatively decomposed according to the transportation energy consumption decomposition model. The contribution of transportation turnover, transportation structure and transportation energy consumption intensity changes to transportation energy consumption variation is quantitatively calculated. Results show that there exists great energy-conservation potential about transportation structure adjustment, and transportation energy intensity is the main factor of energy conservation. The research achievements enrich the relevant theory of transportation energy consumption, and help to make the transportation energy development planning and carry out related policies.en_US
dc.description.sponsorshipFundamental Research Funds of the National Natural Science Foundation of China (U2034208); the study of the spatio-temporal tunnel theory for railway transportation organization (04060075), Beijing Jiaotong University, China.en_US
dc.format.extent1 - 14-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.rightsCopyright © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjecttransportationen_US
dc.subjectenergy consumptionen_US
dc.subjectinfluencing factorsen_US
dc.subjectindex decomposition approachen_US
dc.titleA Perfect Decomposition Model for Analyzing Transportation Energy Consumption in Chinaen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3390/app13074179-
dc.relation.isPartOfApplied Sciences-
pubs.issue7-
pubs.publication-statusPublished online-
pubs.volume13-
dc.identifier.eissn2076-3417-
dc.rights.holderThe authors-
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Electrical Engineering Research Papers

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