EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 702 (2026) E3S Web Conf., 702 (2026) 01001 References
Open Access
Issue
E3S Web Conf.
Volume 702, 2026
Second International Conference on Innovations in Sustainable and Digital Construction Practices (ISDCP 2026)
Article Number 01001
Number of page(s) 18
Section Construction Management & Materials
DOI https://doi.org/10.1051/e3sconf/202670201001
Published online 01 April 2026
  1. A. Spassova, Construction industry and sustainability, in interdisciplinary approaches to climate change for sustainable growth, Natural Resource Management and Policy, 47, 261–287, Springer, Cham, (2022). https://doi.org/10.1007/978-3-030-87564-0_15 [Google Scholar]
  2. Y. Chen, D. Huang, Z. Liu, M. Osmani, P. Demian, Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for sustainable building development within the smart city, Sustainability, 14.16, 10028, (2022). https://doi.org/10.3390/su141610028 [CrossRef] [Google Scholar]
  3. A.L. Balogun, D. Marks, R. Sharma, H. Shekhar, C. Balmes, D. Maheng, A. Arshad, P. Salehi, Assessing the Potentials of Digitalization as a Tool for Climate Change Adaptation and Sustainable Development in Urban Centres, Sustainable Cities and Society, 53, 101888, (2020). https://doi.org/10.1016/j.scs.2019.101888 [CrossRef] [Google Scholar]
  4. Y. Pan, L. Zhang, A BIM-data mining integrated digital twin framework for advanced project management, Automation in Construction, 124, 103564, (2021). https://doi.Org/10.1016/j.autcon.2021.103564 [Google Scholar]
  5. T.D. Moshood, J.O.B. Rotimi, W. Shahzad, J.A. Bamgbade, Infrastructure digital twin technology: A new paradigm for future construction industry, Technology in Society, 77, 102519 (2024). https://doi.Org/10.1016/j.techsoc.2024.102519 [Google Scholar]
  6. A.A. Alnaser, A. Hassan Ali, H.H. Elmousalami, A. Elyamany, A. Gouda Mohamed, Assessment framework for BIM-Digital twin readiness in the construction industry, Buildings, 14.1, 268, (2024). https://doi.org/10.3390/buildings14010268 [Google Scholar]
  7. A. Ferreira, M.D. Pinheiro, J. de Brito, R. Mateus, A critical analysis of LEED, BREEAM and DGNB as sustainability assessment methods for retail buildings, Journal of Building Engineering, 66, 105825, (2023). https://doi.org/10.1016/j.jobe.2023.105825 [CrossRef] [Google Scholar]
  8. M. Marzouk, B. Mohamed, Integrated agent-based simulation and multi-criteria decision making approach for buildings evacuation evaluation, Safety Science, 112, 57–65, (2019). https://doi.org/10.1016/j.ssci.2018.10.010 [Google Scholar]
  9. V. Kukreja, Hybrid fuzzy AHP-TOPSIS approach to prioritizing solutions for inverse reinforcement learning, Complex Intell. Syst., 9, 493–513, (2023). https://doi.org/10.1007/s40747-022-00807-5 [Google Scholar]
  10. K. Wang, Z. Ying, S.S. Goswami, Y. Yin, Y. Zhao, 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, (2023). https://doi.org/10.3390/su151511848 [Google Scholar]
  11. V. Hassija, V. Chamola, A. Mahapatra, A. Singal, D. Goel, K. Huang, A. Hussain, Interpreting black-box models: A review on explainable artificial intelligence, Cogn. Comput., 16, 45–74, (2024). https://doi.org/10.1007/s12559-023-10179-8 [Google Scholar]
  12. S. Kermanshachi, B. Rouhanizadeh, B. Dao, Application of delphi method in identifying, ranking, and weighting project complexity indicators for construction projects, Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 12.1, 04519033, (2020). https://doi.org/10.1061/(ASCE)LA.1943-4170.0000338 [Google Scholar]
  13. S. Bates, T. Hastie, R. Tibshirani, Cross-validation: What does it estimate and how well does it do it?, Journal of the American Statistical Association, 119.546, 14341445, (2024). https://doi.org/10.1080/01621459.2023.2197686 [Google Scholar]
  14. N. Wang, H. Zhang, A. Dahal, W. Cheng, M. Zhao, L. Lombardo, On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values, Geoscience Frontiers, 15.4, 101800, (2024). https://doi.org/10.1016/j.gsf.2024.101800 [Google Scholar]
  15. J. Wang, Y. Wang, Y. Zhang, Y. Liu, C. Shi, Life cycle dynamic sustainability maintenance strategy optimization of fly ash RC beam based on Monte Carlo simulation, Journal of Cleaner Production, 351, 131337, (2022). https://doi.org/10.1016/j.jclepro.2022.131337 [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.