Analysis of the Mechanism Construction of Intelligent Construction Enabling Green Transformation in the Construction Industry and Its Influencing Factors on Sustainable Development Paths

[1] Yan, J. K., Zheng, Z., Zhou, Y. C., Lin, J. R., Deng, Y. C., & Lu, X. Z. (2023). Recent Research Progress in Intelligent Construction: A Comparison between China and Developed Countries. Buildings, 13(5), 1329. YanJ. K.ZhengZ.ZhouY. C.LinJ. R.DengY. C. & LuX. Z. (2023). Recent Research Progress in Intelligent Construction: A Comparison between China and Developed Countries. Buildings, 13(5), 1329.Search in Google Scholar

[2] Chen, Y., Huang, D., Liu, Z., Osmani, M., & Demian, P. (2022). Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for sustainable building development within the smart city. Sustainability, 14(16), 10028. ChenY.HuangD.LiuZ.OsmaniM. & DemianP. (2022). Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for sustainable building development within the smart city. Sustainability, 14(16), 10028.Search in Google Scholar

[3] Kang, H., Kim, H., Hong, J., Jeoung, J., Lee, M., & Hong, T. (2024). Human-centered intelligent construction for sustainable cities. Automation in Construction, 168, 105788. KangH.KimH.HongJ.JeoungJ.LeeM. & HongT. (2024). Human-centered intelligent construction for sustainable cities. Automation in Construction, 168, 105788.Search in Google Scholar

[4] Li, T., Yan, X., Guo, W., & Zhu, F. (2022). Research on factors influencing intelligent construction development: an empirical study in China. Buildings, 12(4), 478. LiT.YanX.GuoW. & ZhuF. (2022). Research on factors influencing intelligent construction development: an empirical study in China. Buildings, 12(4), 478.Search in Google Scholar

[5] WANG, B., CHEN, J., LIAO, F., & AO, Y. (2023). Path and policy of green and low-carbon transformation of construction industry in the context of intelligent construction. Science & Technology Review, 41(5), 60-68. WANGB.CHENJ.LIAOF. & AOY. (2023). Path and policy of green and low-carbon transformation of construction industry in the context of intelligent construction. Science & Technology Review, 41(5), 60-68.Search in Google Scholar

[6] You, Z. (2024). Intelligent construction: unlocking opportunities for the digital transformation of China’s construction industry. Engineering, Construction and Architectural Management, 31(4), 1429-1453. YouZ. (2024). Intelligent construction: unlocking opportunities for the digital transformation of China’s construction industry. Engineering, Construction and Architectural Management, 31(4), 1429-1453.Search in Google Scholar

[7] Zhang, L., Li, Y., Pan, Y., & Ding, L. (2024). Advanced informatic technologies for intelligent construction: A review. Engineering Applications of Artificial Intelligence, 137, 109104. ZhangL.LiY.PanY. & DingL. (2024). Advanced informatic technologies for intelligent construction: A review. Engineering Applications of Artificial Intelligence, 137, 109104.Search in Google Scholar

[8] Debrah, C., Chan, A. P., & Darko, A. (2022). Artificial intelligence in green building. Automation in Construction, 137, 104192. DebrahC.ChanA. P. & DarkoA. (2022). Artificial intelligence in green building. Automation in Construction, 137, 104192.Search in Google Scholar

[9] Guo, Z., & Li, L. (2022). A conceptual framework for collaborative development of intelligent construction and building industrialization. Frontiers in Environmental Science, 10, 904518. GuoZ. & LiL. (2022). A conceptual framework for collaborative development of intelligent construction and building industrialization. Frontiers in Environmental Science, 10, 904518.Search in Google Scholar

[10] Jiang, Y., & Zheng, W. (2021). Coupling mechanism of green building industry innovation ecosystem based on blockchain smart city. Journal of cleaner production, 307, 126766. JiangY. & ZhengW. (2021). Coupling mechanism of green building industry innovation ecosystem based on blockchain smart city. Journal of cleaner production, 307, 126766.Search in Google Scholar

[11] Zhao, S., Zhang, P., & Li, W. (2021). A study on evaluation of influencing factors for sustainable development of smart construction enterprises: Case study from china. Buildings, 11(6), 221. ZhaoS.ZhangP. & LiW. (2021). A study on evaluation of influencing factors for sustainable development of smart construction enterprises: Case study from china. Buildings, 11(6), 221.Search in Google Scholar

[12] Wu, J., & Li, L. (2023). Synergy Degree Evaluation in the Development of Intelligent Construction and Construction Industrialization—A Case Study of Shenyang, China. International Journal of Low-Carbon Technologies, 18, 929-942. WuJ. & LiL. (2023). Synergy Degree Evaluation in the Development of Intelligent Construction and Construction Industrialization—A Case Study of Shenyang, China. International Journal of Low-Carbon Technologies, 18, 929-942.Search in Google Scholar

[13] Zhang, Y., Li, H., & Yao, Z. (2023). Intellectual capital, digital transformation and firm performance: evidence based on listed companies in the Chinese construction industry. Engineering, Construction and Architectural Management. ZhangY.LiH. & YaoZ. (2023). Intellectual capital, digital transformation and firm performance: evidence based on listed companies in the Chinese construction industry. Engineering, Construction and Architectural Management.Search in Google Scholar

[14] Yin, S., & Zhao, Y. (2024). An agent-based evolutionary system model of the transformation from building material industry (BMI) to green intelligent BMI under supply chain management. Humanities and Social Sciences Communications, 11(1), 1-15. YinS. & ZhaoY. (2024). An agent-based evolutionary system model of the transformation from building material industry (BMI) to green intelligent BMI under supply chain management. Humanities and Social Sciences Communications, 11(1), 1-15.Search in Google Scholar

[15] Patil, M., Boraste, S., & Minde, P. (2022). A comprehensive review on emerging trends in smart green building technologies and sustainable materials. Materials Today: Proceedings, 65, 1813-1822. PatilM.BorasteS. & MindeP. (2022). A comprehensive review on emerging trends in smart green building technologies and sustainable materials. Materials Today: Proceedings, 65, 1813-1822.Search in Google Scholar

[16] Wang, K., Ying, Z., Goswami, S. S., Yin, Y., & Zhao, Y. (2023). Investigating the role of artificial intelligence technologies in the construction industry using a Delphi-ANP-TOPSIS hybrid MCDM concept under a fuzzy environment. Sustainability, 15(15), 11848. WangK.YingZ.GoswamiS. S.YinY. & ZhaoY. (2023). Investigating the role of artificial intelligence technologies in the construction industry using a Delphi-ANP-TOPSIS hybrid MCDM concept under a fuzzy environment. Sustainability, 15(15), 11848.Search in Google Scholar

[17] Wang, Y., Li, Y., & Zhuang, J. (2024). Research on the green development path of prefabricated building industry based on intelligent technology. Engineering, Construction and Architectural Management. WangY.LiY. & ZhuangJ. (2024). Research on the green development path of prefabricated building industry based on intelligent technology. Engineering, Construction and Architectural Management.Search in Google Scholar

[18] Cui, H., & Ren, X. (2023). Research on Green Construction Mode Based on Intelligent Construction. Journal of Civil Engineering and Urban Planning, 5(2), 56-62. CuiH. & RenX. (2023). Research on Green Construction Mode Based on Intelligent Construction. Journal of Civil Engineering and Urban Planning, 5(2), 56-62.Search in Google Scholar

[19] Du, F. (2024, June). Research on the Application Value of Green Intelligent Construction Technology. In 2024 7th International Conference on Structural Engineering and Industrial Architecture (ICSEIA 2024) (pp. 393-399). Atlantis Press. DuF. (2024, June). Research on the Application Value of Green Intelligent Construction Technology. In 2024 7th International Conference on Structural Engineering and Industrial Architecture (ICSEIA 2024) (pp. 393-399). Atlantis Press.Search in Google Scholar

[20] Yang, B., Lv, Z., & Wang, F. (2022). Digital twins for intelligent green buildings. Buildings, 12(6), 856. YangB.LvZ. & WangF. (2022). Digital twins for intelligent green buildings. Buildings, 12(6), 856.Search in Google Scholar

[21] Zhang, N., Yin, J., Zhang, N., Sun, T., Yin, S., & Wan, L. (2024). Artificial intelligence-driven photovoltaic building materials industry: Greenization and digitization innovation conversion of photovoltaic technology based on a novel interval fuzzy field theory decision-making model. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-27. ZhangN.YinJ.ZhangN.SunT.YinS. & WanL. (2024). Artificial intelligence-driven photovoltaic building materials industry: Greenization and digitization innovation conversion of photovoltaic technology based on a novel interval fuzzy field theory decision-making model. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-27.Search in Google Scholar

[22] Yuan, B. (2023). The Prospects of Building Information Modeling (BIM) and Intelligent Construction in Civil Engineering for Digital Transformation. Academic Journal of Science and Technology, 8(1), 52-55. YuanB. (2023). The Prospects of Building Information Modeling (BIM) and Intelligent Construction in Civil Engineering for Digital Transformation. Academic Journal of Science and Technology, 8(1), 52-55.Search in Google Scholar