Mariaca Clavel, Israel Simon; (2025) Dynamic Construction Scheduling: Utilizing AI Data Automation in a BIM-Integrated Serious Game Framework. Doctoral thesis (Ph.D), UCL (University College London).

Text Mariaca Clavel_10212042_Thesis_sig_removed.pdf Access restricted to UCL open access staff until 1 February 2026. Download (4MB)

Abstract

The construction industry, particularly in large-scale infrastructure projects like bridge construction, faces persistent scheduling challenges due to uncertainty, resource constraints, and inefficiencies in traditional methodologies. This research develops a conceptual framework for dynamic construction scheduling that utilises Building Information Modelling (BIM), Artificial Intelligence (AI)-driven data automation, and gamification principles. Following an exploratory, artefact-mediated Design Science Research (DSR) methodology, the study combines theoretical analysis with semistructured interviews and focus group discussions with industry experts to develop and refine the framework. The conceptual framework systematically categorises uncertainty factors and incorporates automated BIM data extraction and dynamic adaptability to improve decision-making. Unlike traditional scheduling techniques, the proposed framework enhances flexibility by allowing dynamic, scenario-based scheduling adjustments. A proof-of-concept artefact was developed to demonstrate these principles. This artefact leverages game engine technology and real-time strategy (RTS) mechanics to provide an intuitive and interactive scheduling environment, enabling construction professionals to visualise and simulate project workflows. Qualitative evaluation from focus group discussions indicates that the framework's principles are relevant to industry challenges and that the artefact can be a valuable tool for fostering discussion, supporting proactive decision-making, and enhancing collaboration. This research contributes to both theoretical advancements in uncertaintyaware scheduling models and practical approaches to construction project management. By combining dynamic adaptability, automation, and interactive decision-making, the proposed framework offers a structured approach to modern scheduling challenges, setting a foundation for future applications in complex infrastructure projects.

Download activity - last month

Export as CSVXMLJSON

Download activity - last 12 months

Export as CSVJSONXML

Downloads by country - last 12 months

Export as CSVXMLJSON

Archive Staff Only

View Item