Spatial and Temporal Trends of Carbon Emissions Caused by Buildings in China

Bin Chen; Yawei Qin; Tiemei Zeng; Xianguo Wu; Zongbao Feng

doi:10.2991/978-94-6463-200-2_104

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Spatial and Temporal Trends of Carbon Emissions Caused by Buildings in China

Authors

Bin Chen¹, Yawei Qin¹^{, 2}^{, *}, Tiemei Zeng³, Xianguo Wu¹, Zongbao Feng¹

¹School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, China

²Wuhan Huazhong Science and Technology University Testing Technology Co., Ltd., 1037 Luoyu Road, Wuhan, China

³Wuhan Metro Group Co., Ltd., 77 Huanle Road, Wuhan, China

^*Corresponding author. Email: qinyawei@hust.edu.cn

Corresponding Author

Yawei Qin

Available Online 26 July 2023.

DOI: 10.2991/978-94-6463-200-2_104 How to use a DOI?
Keywords: Buildings; Carbon emission; GTWR; spatial clustering
Abstract: Carbon emission caused by buildings is an important source of regional carbon emission, and it changes with time and space. This is due to the agglomeration effect of economic and construction industry development. Meanwhile, climates in different regions also have great differences in energy consumption. The effects of space and time on carbon emissions in different regions should be noticed to discover the development trend of building carbon emissions. Therefore, the GTWR model, which can find the changes of carbon emissions in time and space at different stages, is applied to study the influence of space-time effect on the carbon emissions in the whole life cycle of buildings. This will be conducive to the discovery of key driving factors of building carbon emissions and thus provide an effective and feasible path for energy conservation and emission reduction.
Copyright: © 2023 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series: Atlantis Highlights in Intelligent Systems
Publication Date: 26 July 2023
ISBN: 10.2991/978-94-6463-200-2_104
ISSN: 2589-4919
DOI: 10.2991/978-94-6463-200-2_104 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Bin Chen
AU  - Yawei Qin
AU  - Tiemei Zeng
AU  - Xianguo Wu
AU  - Zongbao Feng
PY  - 2023
DA  - 2023/07/26
TI  - Spatial and Temporal Trends of Carbon Emissions Caused by Buildings in China
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 992
EP  - 999
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_104
DO  - 10.2991/978-94-6463-200-2_104
ID  - Chen2023
ER  -

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