Fire hazards threaten human life and property safety. Since it is unrealistic to study human behavior during a real fire hazard, computational tools are a better choice to computational tools are a better choice to simulate fire growth and human behavior for predicting evacuation performance in chaotic emergency situations. Although previous scholars have conducted a great amount of fire emergency simulation research, further studies are necessary to investigate the critical factors that impact human evacuation performance and improve simulation accuracy. This research study aims to develop an interdisciplinary simulation framework that involves the three influential factors (physical building properties, characteristics of the fire, and characteristics of human behavior) that impact fire evacuation planning for high-occupancy buildings. The simulation system can better predict evacuation performance the more influential factors it considers. To elucidate, the fire growth process is simulated by using the Fire Dynamic Simulator (FDS) tool and the evacuation simulation is designed from an Agent-based Modeling (ABM) system. BIM serves as the environment to conduct these simulations and visualize the results. The research results from this thesis provide valuable information for design and education purposes related to fire evacuation planning and safety management and ultimately help to minimize fatalities and reduce the economic loss caused by building fire emergencies.