A new integrated agent-based framework for designing building emergency evacuation: A BIM approach

Mirzaei-Zohan, Seyed Ali; Gheibi, Mohammad; Chahkandi, Benyamin; Mousavi, SeyedehNiloufar; Khaksar, Reza Yeganeh; Behzadian, Kourosh

doi:10.1016/j.ijdrr.2023.103753

Cited by 10 publications

(1 citation statement)

References 33 publications

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“…The study explored the impact of evacuation speed and delays on creating choke points, revealing that Unity is a suitable platform for implementing ABM-BIM research on crowd evacuation. Mirzaei-Zohan et al [25] have created a new agent-based framework for designing building emergency evacuation using BIM. The framework involved data collection, model development, and evacuation simulation using Revit-Mass Motion.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrate Building Information Modeling (BIM) and Occupant Characteristics Simulator to Assess the Effectiveness of Emergency Requirements

Qutaiba,

Omaran,

Abd Ali

2024

IJSSE

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Building fires are a major hazard to residents, first responders, and the structural system. Rapid spread can impede evacuation, resulting in human fatalities. However, studying occupant characteristics in a burning building is unrealistic and unethical. Hence, the current data-gathering techniques employed in evacuation simulation models have constraints when capturing occupant attributes. To address these constraints, The study introduces a novel method of serious gaming that combines Building Information Modelling (BIM) with an occupant characteristics simulator with varying mobility capabilities depending on age, gender, and physical ability, using Unity3D, to simulate fire growth and evacuation duration for residential buildings with and without emergency requirements. The study reveals that occupant characteristics significantly affect evacuation time, and implementing emergency requirements can improve evacuation efficiency in fire-exposed residential buildings by up to 100%. Implementing emergency requirements reduced mortality rates from 50% to 0%, suggesting that simulation results can be used to improve building design and emergency needs assessment.

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Section: Literature Reviewmentioning

confidence: 99%