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http://bura.brunel.ac.uk/handle/2438/26238| Title: | A Perfect Decomposition Model for Analyzing Transportation Energy Consumption in China |
| Authors: | Yuan, Y Jiang, X Lai, CS |
| Keywords: | transportation;energy consumption;influencing factors;index decomposition approach |
| Issue Date: | 25-Mar-2023 |
| Publisher: | MDPI |
| Citation: | Yuan, 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. |
| Abstract: | Copyright © 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. |
| Description: | Data Availability Statement: Data is unavailable due to privacy or ethical restrictions. |
| URI: | https://bura.brunel.ac.uk/handle/2438/26238 |
| DOI: | https://doi.org/10.3390/app13074179 |
| Other Identifiers: | ORCID iD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438 4179 |
| Appears in Collections: | Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers |
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