The Strategies to AEC Implement BIM-GIS-Drone-Mobile Apps-AI Towards Future Demands, Case Study: Setiu, Terengganu
In the Architecture, Engineering, and Construction (AEC) industry, the integration of Building Information Modelling (BIM), Geographic Information System (GIS), and Drone Mobile Apps has revolutionized how professionals plan, design, construct, and manage buildings and infrastructure. This integration offers a comprehensive approach that leverages the strengths of each technology to enhance efficiency, accuracy, and collaboration throughout the project lifecycle. BIM is a process that involves creating digital representations of physical and functional properties of buildings or infrastructure. GIS is a system that collects, analyses, and presents spatial data related to natural and built environmental assets such as wetland resources are being overused because of severe occurrences and conditions such the rapidly rising population, the rapidly improving economic climate, and the expanding metropolitan region. Drone Mobile Apps have become an integral part of modern construction projects due to their ability to capture high-resolution imagery efficiently using drones. Artificial Intelligence (AI) plays a crucial role in processing vast amounts of data generated by BIM models, GIS databases, drones, and mobile apps due to social trends. However, the systematic implementation of current advanced technologies in AEC projects in the wetland area experience challenges. This study aims to identify critical strategies to be implemented in the current digital transformation. The significance of this study is to support current trends of technology in RMK-12, 4.0 Digital Transformation. Initially, 20 strategies are drawn from the existing literature review and 10 critical strategies are identified focusing on the strategies for BIM and GIS Integration with AI interoperability. An in-depth interview with 33 experts as qualitative study and quantitative study using a questionnaire survey with 100 respondents from construction field. The results may improve project efficiency and accuracy while ensuring better decision-making processes throughout the project lifecycle of the AEC industry in the wetland area.
Institutions
- Universiti Putra Malaysia (MY)
- Universiti Sains Malaysia (MY)
- Malaysia University of Science and Technology (MY)
- Andalas University (ID)
- SEGi University (MY)
Publication Details
- Journal
- Journal of Advanced Research in Applied Sciences and Engineering Technology
- Published
- 2025-03-08
- DOI
- https://doi.org/10.37934/araset.65.2.118
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00