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Evacuation scenario optimization in buildings with human anthropometric characteristics

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dc.creator PİŞİRİR, Onur Mahmut
dc.creator ERKAN, İlker
dc.creator Bingöl, Okan
dc.date 2024-10-15T00:00:00Z
dc.date.accessioned 2025-02-25T10:40:14Z
dc.date.available 2025-02-25T10:40:14Z
dc.identifier e2c408e4-d8c6-42c8-ae2e-35b2df3e087c
dc.identifier 10.1016/j.jobe.2024.110033
dc.identifier https://avesis.sdu.edu.tr/publication/details/e2c408e4-d8c6-42c8-ae2e-35b2df3e087c/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/101694
dc.description Emergency evacuations are critical situations that threaten people's lives and safety, necessitating robust planning and prevention strategies. Anthropometric data, which are numerical expressions of human body measurements, play a vital role in architectural design by helping determine safe evacuation routes. This data is crucial for understanding the physical characteristics and mobility of building occupants, allowing for optimized evacuation routes that accommodate the needs of various groups, such as the elderly, children, and individuals with physical disabilities. The Social Forces Model (SFM) is an important tool used to understand the behavior and movement of crowds, modeling these aspects mathematically by considering social interactions and environmental factors. This study develops a system to enhance emergency evacuation scenarios in buildings using anthropometric data and SFM. This system analyzes the evacuation process and identifies optimal routes, contributing significantly to ensuring safety and minimizing damage during disasters. The research shows that using anthropometric data and SFM in architectural design is essential for effective emergency evacuation planning and management. Simulations that incorporate the diverse physical characteristics of people demonstrate notable improvements in evacuation times compared to those using fixed values, with up to 10.20 % improvement in single-exit scenarios and up to 13.45 % in two-exit scenarios. Furthermore, evacuation routes are optimized using SFM, and histograms are employed to identify the most preferred routes during panic situations. This data-driven approach informs the design of building and floor layouts, as well as the materials and decorations used, ensuring that evacuation routes remain clear and accessible. Removing obstacles and facilitating easy passage during emergencies significantly enhances the effectiveness of evacuations. Overall, the integration of anthropometric data and SFM in building design is shown to create faster and safer evacuation processes, ultimately improving emergency response and safety.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Evacuation scenario optimization in buildings with human anthropometric characteristics
dc.type info:eu-repo/semantics/article


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