Xing Xiong , Xiaojun Li , Shaobo Chen , Dian Chen , Jinchen Lin
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引用次数: 0
Abstract
Previous studies on carbon emissions from the materialization of residential buildings differ significantly in their case sources, methods, and research findings. Consequently, it is essential to investigate the general characteristics and driving factors of carbon emissions in this context. A systematic review was carried out with research papers on carbon emissions of the materialization stage of residential buildings in China. Analysis of the carbon emission results reveals an average carbon emission intensity (CEI) of 409.04 kgCO2e/m². Through standardized coefficients and significance tests, the effects of 20 driving factors were quantified. Four explanatory models were developed using enter regression to interpret the results of existing multi-family building samples. Additionally, four predictive models were created through backward elimination to assist designers in predicting CEI during the conceptual design phase. The findings indicate that minimizing new construction areas is the most effective strategy for reducing total carbon emissions, and adopting prefabricated construction methods significantly decreases CEI. Conversely, enhancements in building performance may inadvertently increase CEI. Other key impact factors on CEI include building age, climate zone, and calculating object. It is important to recognize that the driving factors for the three sub-stages of production, transportation, and construction vary considerably, and thus should be studied separately whenever feasible. This research contributes to promoting carbon reduction in the building industry by advancing research on the calculation of carbon emissions.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;