Optimizing Evacuation Efficiency in Buildings: A BIM-Based Automated Approach to Sustainable Design

Cherry Rose Godes, Shanelle Aira Rodrigazo, Junhwi Cho, Yooseob Song and Jaeheum Yeon ()
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Cherry Rose Godes: Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea
Shanelle Aira Rodrigazo: Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea
Junhwi Cho: Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea
Yooseob Song: Department of Civil and Environmental Engineering, University of Alabama in Huntsville, Huntsville, AL 35899, USA
Jaeheum Yeon: Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea

Sustainability, 2024, vol. 16, issue 21, 1-20

Abstract: This study addresses the challenge of optimizing fire evacuation efficiency in complex buildings by investigating the impact of automating corridor dimension adjustments on reducing evacuation congestion. A Building Information Modeling (BIM)-based approach using Autodesk Revit 2024, Dynamo version 2.17, and Thunderhead Pathfinder 2023 simulations was employed to test this hypothesis. The results show that automated adjustments in hallways have a significant positive impact on evacuation efficiency in the majority of building floor corridor segments. These findings highlight the potential for dynamic design modifications to enhance building safety and sustainability. Future research will focus on refining this approach for diverse building layouts and occupant behaviors.

Keywords: BIM; dynamo; fire safety; evacuation; simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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