Spatial and Temporal Trends of Carbon Emissions Caused by Buildings in China
- DOI
- 10.2991/978-94-6463-200-2_104How 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.
Cite this article
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 -