Benjamin W. Schafer
Papers
2
Total Citations
21
H-Index
2
About
Benjamin W. Schafer is a leading researcher in computational evacuation modeling and pedestrian dynamics, with a focus on developing scalable algorithms for large-scale disaster response. His work bridges agent-based simulation and real-world decision-making, particularly in urban and building evacuation contexts. Schafer’s most-cited paper, “Application of bug navigation algorithms for large-scale agent-based evacuation modeling to support decision making” (2021, 16 citations), introduces biologically inspired navigation strategies to improve the efficiency and realism of crowd movement simulations. His earlier study, “Performance Evaluation of Pedestrian Navigation Algorithms for City Evacuation Modeling” (2018, 5 citations), systematically compares algorithmic approaches for city-scale evacuations, highlighting the critical role of simulation in understanding human behavior under stress. Schafer’s contributions are notable for addressing the scalability challenges of agent-based models, enabling their use in real-time emergency planning. His work has implications for urban safety, infrastructure resilience, and public policy, making him a key figure in the intersection of computer science, civil engineering, and disaster management.
Research Focus
Key Achievements
Top Papers
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