Improving fire-safety awareness and assessing simulated evacuation-route adherence using building information modeling and immersive virtual reality: A multi-site field study in under-construction buildings

Fire hazards pose substantial risks on construction sites, where rapidly changing layouts, temporary installations, and obstructed circulation routes can hinder safe evacuation. This study evaluated a low-cost fire-safety training framework integrating Building Information Modeling and immersive Virtual Reality among 178 construction workers recruited from three active construction sites in Bangladesh. Fire-safety awareness was assessed using an eight-item instrument before training, immediately afterward, and at a two-week follow-up. Mean composite scores increased from 2.43 to 6.89, representing a mean improvement of 4.46 points and a very large paired-samples effect size of 3.79. Exact McNemar tests showed significant improvement across all eight fire-safety items. At follow-up, 162 participants achieved a mean score of 6.21, retaining 85.2% of the improvement above the pre-training baseline. Post-training simulated evacuation-route deviation averaged 6.59%. Multiple regression explained 33.8% of the variance in route deviation, with age and prior fire-safety training identified as significant predictors. These findings provide strong within-participant evidence of substantial and sustained improvement in fire-safety awareness following the low-cost immersive training framework, while demonstrating the feasibility of scalable assessment of simulated route adherence using mobile hardware.

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Publication Details

Journal
Alexandria Engineering Journal
Published
2026-09-01
DOI
https://doi.org/10.1016/j.aej.2026.08.014
Primary Topic
Evacuation and Crowd Dynamics
Type
article
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article

Improving fire-safety awareness and assessing simulated evacuation-route adherence using building information modeling and immersive virtual reality: A multi-site field study in under-construction buildings

Md. Mehrab Hossain, Shuvo Dip Datta, Md Tanvir Rahman Rifat, Md Tashfique Enam Tutul et al.
Alexandria Engineering Journal
Evacuation and Crowd Dynamics
article

Improving fire-safety awareness and assessing simulated evacuation-route adherence using building information modeling and immersive virtual reality: A multi-site field study in under-construction buildings

Md. Mehrab Hossain, Shuvo Dip Datta, Md Tanvir Rahman Rifat, Md Tashfique Enam Tutul, Nilanjana Paul
article en

Abstract

Fire hazards pose substantial risks on construction sites, where rapidly changing layouts, temporary installations, and obstructed circulation routes can hinder safe evacuation. This study evaluated a low-cost fire-safety training framework integrating Building Information Modeling and immersive Virtual Reality among 178 construction workers recruited from three active construction sites in Bangladesh. Fire-safety awareness was assessed using an eight-item instrument before training, immediately afterward, and at a two-week follow-up. Mean composite scores increased from 2.43 to 6.89, representing a mean improvement of 4.46 points and a very large paired-samples effect size of 3.79. Exact McNemar tests showed significant improvement across all eight fire-safety items. At follow-up, 162 participants achieved a mean score of 6.21, retaining 85.2% of the improvement above the pre-training baseline. Post-training simulated evacuation-route deviation averaged 6.59%. Multiple regression explained 33.8% of the variance in route deviation, with age and prior fire-safety training identified as significant predictors. These findings provide strong within-participant evidence of substantial and sustained improvement in fire-safety awareness following the low-cost immersive training framework, while demonstrating the feasibility of scalable assessment of simulated route adherence using mobile hardware.

Alexandria Engineering JournalVol. 152-153
Oklahoma State University (US), University of Wyoming (US), Khulna University of Engineering and Technology (BD), University of Florida (US)
Openalex Percentile: Top 15%
Evacuation and Crowd Dynamics
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