Construction site planning by using advanced simulation methods

This PhD research investigates an advanced framework integrating 4D BIM and Agent-Based Modeling to support proactive construction site planning and safety management. The system uses digital simulation to represent site layout, scheduling, and dynamic interactions among workers, equipment, and activities. By analyzing agents’ behavior, the model enables predictive assessment of hazard likelihood, vulnerability, and exposure during the pre-construction phase. Risk levels are quantified and visualized through heatmaps to identify critical areas and unsafe conditions. The research demonstrates how data-driven simulation can enhance decision-making for safer and more efficient construction site design and planning.