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Published on: December 12, 2025
Urban building carbon emissions based on BIM-LCA-GIS
Zhen-Shuo Zhang1, Yang Ding2, Kai-Jie Cao2
1North Alabama International College of Engineering and Technology, Guizhou University, Guiyang, China.
Traditional construction methods are energy-intensive. This study developed an integrated model using Building Information Modeling (BIM), Life Cycle Assessment (LCA), and Geographic Information Systems (GIS) for accurate carbon emission analysis of prefabricated buildings.
Area of Science:
- Sustainable Construction
- Environmental Engineering
- Urban Planning
Background:
- Traditional cast-in-situ construction methods generate significant lifecycle energy consumption and carbon emissions, conflicting with green development.
- The prefabricated building model offers advantages in energy efficiency and reduced environmental impact.
- Accurate carbon emission analysis is crucial for optimizing prefabricated construction practices.
Purpose of the Study:
- To develop an integrated model for in-depth carbon emission analysis of prefabricated buildings.
- To quantify and assess carbon emissions across all lifecycle stages of prefabricated construction.
- To provide data for promoting low-carbon and energy-efficient building practices.
Main Methods:
- Integrated Building Information Modeling (BIM), Life Cycle Assessment (LCA), and Geographic Information Systems (GIS) model.
- Quantification and assessment of building materials and structural components' impact on energy efficiency and environment.
- Spatial analysis using input-output and ecological footprint analysis.
Main Results:
- Accurate quantification and in-depth analysis of carbon emissions at each lifecycle stage of prefabricated buildings.
- Acquisition of specific and reliable carbon emission data.
- Clarification of spatial distribution characteristics and influencing factors of carbon emissions.
Conclusions:
- The integrated model overcomes limitations of single-method analysis, improving accuracy and comprehensiveness.
- Findings offer valuable insights for promoting low-carbon and energy-efficient building practices.
- The study advances the development of low-carbon buildings through robust data analysis.
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