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Artificial intelligence (AI) has emerged as an effective solution to alleviate excessive carbon emissions in sustainable building projects. Although there are numerous applications of AI, there is no state-of-the-art review of how AI applications can reduce net-zero carbon emissions (NZCEs) for sustainable building projects. Therefore, this review study aims to conduct a systematic literature and science mapping review of AI applications in NZCEs for sustainable building projects, thereby expediting the realization of NZCEs in building projects. A mixed-method approach (i.e., systematic literature review and science mapping) consisting of four comprehensive stages was used to retrieve relevant published articles from the Scopus database. A total of 154 published articles were retrieved and used to conduct science mapping analyses and qualitative discussions, including mainstream research topics, gaps, and future research directions. Six mainstream research topics were identified and discussed. These include (1) life cycle assessment and carbon footprint, (2) practical applications of AI technology, (3) multi-objective optimization, (4) energy management and energy efficiency, (5) carbon emissions from buildings, and (6) decision support systems and sustainability. In addition, this review suggests six research gaps and develops a framework depicting future research directions. The findings contribute to advancing AI applications in reducing carbon emissions in sustainable building projects and can help researchers and practitioners to realize its economic and environmental benefits. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has emerged as an effective solution to alleviate excessive carbon emissions in sustainable building projects. Although there are numerous applications of AI, there is no state-of-the-art review of how AI applications can reduce net-zero carbon emissions (NZCEs) for sustainable building projects. Therefore, this review study aims to conduct a systematic literature and science mapping review of AI applications in NZCEs for sustainable building projects, thereby expediting the realization of NZCEs in building projects. A mixed-method approach (i.e., systematic literature review and science mapping) consisting of four comprehensive stages was used to retrieve relevant published articles from the Scopus database. A total of 154 published articles were retrieved and used to conduct science mapping analyses and qualitative discussions, including mainstream research topics, gaps, and future research directions. Six mainstream research topics were identified and discussed. These include (1) life cycle assessment and carbon footprint, (2) practical applications of AI technology, (3) multi-objective optimization, (4) energy management and energy efficiency, (5) carbon emissions from buildings, and (6) decision support systems and sustainability. In addition, this review suggests six research gaps and develops a framework depicting future research directions. The findings contribute to advancing AI applications in reducing carbon emissions in sustainable building projects and can help researchers and practitioners to realize its economic and environmental benefits.

• The paper compared the foci of construction hazard awareness between academia and laypeople. • This study included 11,829 Weibo microposts and 769 Web of Science articles. • The research adopted VOSviewer, Python, MYSQL and Tableau for analysis. • Academia focused more on high-tech stuff, such as artificial intelligence. • Weibo focused more on the types of construction safety and health hazards. The construction industry is one of the most hazardous industries, and construction hazard awareness is a major concern and vital at work. This paper compared 11,829 construction safety and health hazard awareness Weibo microposts and 769 articles indexed in Web of Science (WoS) from 1900 to 2021. It compared different foci between academia and laypeople by studying safety hazards like fire, electrical, chemical, collapsing trenches, and health-related risks such as asbestos and heat stress. The first construction safety and health hazard paper was published in 1991 in WoS, while the first construction hazard awareness related Weibo microposts appeared in 2011. Safety Science is the journal that publishes most articles in this area, and the US is the most productive country. On the other hand, the top 5 Weibo microbloggers were government departments. Popular construction safety and health hazard Weibo topics included collapse, earthquake, safety management, risk management, high-level and construction situation etc. In contrast, 20% of researchers' most popular topics in construction hazard awareness were hazard identification, recognition, computer vision, virtual reality, tracking, simulation. The results showed that academia focused on high-tech stuff, such as artificial intelligence. However, in sharp contrast, it was seldom mentioned with construction safety and health hazard awareness in Weibo despite artificial intelligence having already become part of our daily lives. [ABSTRACT FROM AUTHOR]