IMPROVING SUSTAINABILITY IN CONSTRUCTION PHASES THROUGH BIM: DEVELOPING A METHODOLOGICAL FRAMEWORK USING SWOT ANALYSIS | ||
| Journal of Al-Azhar University Engineering Sector | ||
| Volume 19, Issue 72, July 2024, Pages 1048-1064 PDF (3.59 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/auej.2024.282859.1647 | ||
| Author | ||
| Ahmed Saleh Ismail* | ||
| Faculty of Engineering, Matareya Helwan University, Cairo, Egypt | ||
| Abstract | ||
| "Sustainability in the construction sector is crucial for influencing building operations' outcomes. Its significance extends beyond conserving natural resources to enhance efficiency and effectiveness throughout a project's lifecycle. Emphasizing sustainability helps reduce overall costs and improve projects' environmental and social standing, leading to better construction process outcomes. This study emphasizes the role of Building Information Modeling (BIM) in boosting sustainability during construction phases, focusing on BIM technologies' contribution to achieving sustainability goals. The aim is to develop a methodology using BIM tools for sustainable construction processes to enhance project outputs. This includes strategic objective formulation, stakeholder collaboration, clash detection, sustainability risk mitigation, resource optimization, waste reduction, and improved cost and time management efficiency, thereby significantly improving the projects' environmental performance. The research adopts an integrated approach, combining theoretical insights from prior studies with practical analysis, to deepen the understanding of BIM's impact on sustainability in construction. By providing a comprehensive view of BIM's contributions, the study is expected to offer valuable insights for practitioners, promoting BIM technology applications that significantly enhance sustainability in the construction phase." | ||
| Keywords | ||
| Building information modeling (BIM); sustainability procedures; construction phase; construction operations; construction sites | ||
|
Statistics Article View: 134 PDF Download: 92 |
||
