Open Access
Issue
E3S Web Conf.
Volume 546, 2024
2024 2nd International Conference on Green Building (ICoGB 2024)
Article Number 02002
Number of page(s) 8
Section Green Building Technology and Innovation
DOI https://doi.org/10.1051/e3sconf/202454602002
Published online 09 July 2024
  1. J. ScienceDaily. (2024). How to balance economic development goals with environmental conservation. SciDaily, 1, 103955. (2024). DOI: https://www.sciencedaily.com/releases/2022/04/220428103955.htm. [Google Scholar]
  2. M. McKinsey. (2024). Decoding digital transformation in construction. McKinsey Insights, 1, 20240305. (2024). DOI: https://www.mckinsey.com/industries/engineering-construction-and-building-materials/our-insights/decoding-digital-transformation-in-construction. [Google Scholar]
  3. Jemal K M, Kabzhassarova M, Shaimkhanov R, Facilitating Circular Economy Strategies Using Digital Construction Tools: Framework Development[J]. Sustainability, Multidisciplinary Digital Publishing Institute, 2023, 15(1): 877. [Google Scholar]
  4. S. ScienceDirect. (2024). Visualized analysis of global green buildings: Development, barriers and future directions. SciDirect, 1, S0959652619336455. (2024). DOI: https://www.sciencedirect.com/science/article/abs/pii/S0959652619336455. [Google Scholar]
  5. Raouf A M I, Al-Ghamdi S G. Building information modelling and green buildings: challenges and opportunities[J]. Architectural Engineering and Design Management, Taylor & Francis, 2019, 15(1): 1–28. [Google Scholar]
  6. M. MDPI. (2024). A Review of the Impact of Green Building Certification on the Cash Flows and Values of Commercial Properties. Sustainability, 12, 2729. (2024). DOI: https://www.mdpi.com/2071-1050/12/7/2729. [Google Scholar]
  7. Lu K, Deng X, Jiang X, A review on life cycle cost analysis of buildings based on building information modeling[J]. Journal of Civil Engineering and Management, 2023, 29(3): 268–288. [CrossRef] [Google Scholar]
  8. S. ScienceDirect. (2024). Integration of life cycle assessment and life cycle cost using building information modeling: A critical review. SciDirect, 1, S0959652620354846. (2024). DOI: https://www.sciencedirect.com/science/article/abs/pii/S0959652620354846. [Google Scholar]
  9. Alshboul O, Shehadeh A, Almasabha G, Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction[J]. Sustainability, Multidisciplinary Digital Publishing Institute, 2022, 14(11): 6651. [CrossRef] [Google Scholar]
  10. S. ScienceDirect. (2024). Simulation-Based Multi-Objective Optimization of institutional building renovation considering energy consumption, Life-Cycle Cost and Life-Cycle Assessment. SciDirect, 1, S2352710218307204. (2024). DOI: https://www.sciencedirect.com/science/article/abs/pii/S2352710218307204 [Google Scholar]
  11. M. MDPI. (2024). Strategies for Promoting Green Building Technologies Adoption in the Construction Industry An International Study. Sustainability, 9, 969. (2024). DOI: https://www.mdpi.com/2071-1050/9/6/969. [Google Scholar]
  12. Cattoni F, Merlone A, Broggi R, Computerassisted prosthetic planning and implant design with integrated digital bite registration: a treatment protocol.[J]. Journal of biological regulators and homeostatic agents, 2021, 35 4 Suppl. 1: 11–29. [PubMed] [Google Scholar]
  13. P. Consensus. (2024). Designing a 3D Printed Prosthetic to Meet Task-Specific Needs: A Case Study. Consensus, 1, 50bb9b3d05ab5028a98edfb017c5a3b3. (2024). DOI: https://consensus.app/papers/designing-printed-prosthetic-meet-taskspecific-needs-panchik/50bb9b3d05ab5028a98edfb017c5a3b3/?utm_source [Google Scholar]
  14. C. Consensus. (2024). A Fully Digital Workflow to Achieve Predictable Esthetic and Functional Outcomes: A Case Series. Consensus, 1, a234de6cc03b5d4e8cf2584b7edbe182. (2024). DOI: https://consensus.app/papers/fully-digital-workflow-achieve-predictable-esthetic-an/a234de6cc03b5d4e8cf2584b7edbe182/?utm_source. [Google Scholar]
  15. Chen Y, Huang D, Liu Z, Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for Sustainable Building Development within the Smart City[J]. Sustainability, Multidisciplinary Digital Publishing Institute, 2022, 14(16): 10028. [CrossRef] [Google Scholar]
  16. M. MDPI. (2024). Leveraging Digital Twin for Sustainability Assessment of an Educational Building. Sustainability, 13, 480. (2024). DOI: https://www.mdpi.com/2071-1050/13/2/480. [Google Scholar]
  17. S. ScienceDirect. (2024). A scientometric analysis and visualization of global green building research. SciDirect, 1, S0360132318308175. (2024). DOI: https://www.sciencedirect.com/science/article/abs/pii/S0360132318308175. [Google Scholar]
  18. Santos R, Costa A A, Silvestre J D, Informetric analysis and review of literature on the role of BIM in sustainable construction[J]. Automation in Construction, 2019, 103: 221–234. [CrossRef] [Google Scholar]
  19. Gao H, Koch C, Wu Y. Building information modelling based building energy modelling: A review[J]. Applied Energy, 2019, 238: 320–343. [CrossRef] [Google Scholar]
  20. S. ScienceDirect. (2024). Towards the next generation of green building for urban heat island mitigation: Zero UHI impact building. SciDirect, 1, S2210670719309503. (2024). DOI: https://www.sciencedirect.com/science/article/abs/pii/S2210670719309503. [Google Scholar]
  21. Bradu P, Biswas A, Nair C, Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future[J]. Environmental Science and Pollution Research, 2023, 30(60): 124488–124519. [Google Scholar]
  22. M. MDPI. (2024). A Survey of the Status and Challenges of Green Building Development in Various Countries. Sustainability, 11, 5385. (2024). DOI: https://www.mdpi.com/2071-1050/11/19/5385. [Google Scholar]
  23. Zhao X, Zuo J, Wu G, A bibliometric review of green building research 2000-2016[J]. Architectural Science Review, Taylor & Francis, 2019, 62(1): 74–88. [CrossRef] [Google Scholar]
  24. R. Publishers. (2024). A Review of Technologies in Net Zero Energy Building for Islanded Operation. IEEE Xplore, 1, 10137382. (2024). DOI: https://ieeexplore.ieee.org/abstract/document/10137382. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.