The Impact of the Herd Splitting Effect on Pedestrian Risk Decision-Making Behavior During Fire Evacuation in School Library
DOI:
https://doi.org/10.6918/IJOSSER.202411_7(11).0006Keywords:
Immersive virtual reality; Pedestrian wayfinding behavior; Fire emergency evacuation; Herd splitting effect; Fire smoke; Risk decision.Abstract
Fire is a major issue that threatens the safety of people's lives and property, so it is important to enhance research on the safe evacuation of fires. This study is based on an immersive virtual reality (VR) experiment that examines the wayfinding choices made by pedestrians during a library fire under conditions of reduced ambient visibility due to smoke generation and the simultaneous presence of different herd splitting patterns as indicated by non-game players. Participants were asked to engage in evacuation tasks in a random order across six different experimental scenarios. Results showed that pedestrians generally avoid using smoke routes for evacuation, but make risky decisions to cross smoke routes when they are consistent with the majority of the crowd's evacuation choices. Secondly, under the influence of the herd splitting effect, pedestrians tend to follow the route chosen by the majority of the evacuating crowd. Thirdly, increasing smoke concentration weakens the influence of the herd splitting effect and pedestrians choose to avoid smoke. In addition, Men and women showed significant gender differences in evacuation time and evacuation route choice when faced with the same evacuation scenario. This experiment extends the study of pedestrian wayfinding behaviour in fire situations and provides some empirical evidence for further improvement of fire evacuation.
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References
[1] Fire and Rescue Bureau, Ministry of Emergency Management, "Fires in residential premises nationwide killed 11634 people in the last 10 years", 2022.
[2] Han, Z., Weng, W., Zhao, Q., Ma, X., Liu, Q., & Huang, Q. (2013). Investigation on an integrated evacuation route planning method based on real-time data acquisition for high-rise building fire. IEEE Transactions on Intelligent Transportation Systems, 14(2), 782-795.
[3] Kanangkaew, S., Jokkaw, N., & Tongthong, T. (2023). A real-time fire evacuation system based on the integration of Building Information Modeling and Augmented Reality. Journal of Building Engineering, 67, 105883.
[4] de Lama, C., González-Gaya, C., & Sánchez-Lite, A. (2020). An experimental test proposal to study human behaviour in fires using virtual environments. Sensors, 20(12), 3607.
[5] Zhang, M., Ke, J., Tong, L., & Luo, X. (2021). Investigating the influence of route turning angle on compliance behaviors and evacuation performance in a virtual-reality-based experiment. Advanced Engineering Informatics, 48, 101259.
[6] Lovreglio, R., Dillies, E., Kuligowski, E., Rahouti, A., & Haghani, M. (2022). Exit choice in built environment evacuation combining immersive virtual reality and discrete choice modelling. Automation in Construction, 141, 104452.
[7] Tucker, A., Marsh, K. L., Gifford, T., Lu, X., Luh, P. B., & Astur, R. S. (2018). The effects of information and hazard on evacuee behavior in virtual reality. Fire Safety Journal, 99, 1-11.
[8] Kubota, J., Sano, T., & Ronchi, E. (2021). Assessing the compliance with the direction indicated by emergency evacuation signage. Safety science, 138, 105210.
[9] Lin, J., Cao, L., & Li, N. (2020). How the completeness of spatial knowledge influences the evacuation behavior of passengers in metro stations: A VR-based experimental study. Automation in Construction, 113, 103136.
[10] Lin, J., Cao, L., & Li, N. (2019). Assessing the influence of repeated exposures and mental stress on human wayfinding performance in indoor environments using virtual reality technology. Advanced Engineering Informatics, 39, 53-61.
[11] Lin, J., Zhu, R., Li, N., & Becerik-Gerber, B. (2020). Do people follow the crowd in building emergency evacuation? A cross-cultural immersive virtual reality-based study. Advanced Engineering Informatics, 43, 101040.
[12] Tong, Y., & Bode, N. W. (2023). An investigation of how context affects the response of pedestrians to the movement of others. Safety science, 157, 105919.
[13] Haghani, M., & Sarvi, M. (2019). ‘Herding’in direction choice-making during collective escape of crowds: How likely is it and what moderates it?. Safety science, 115, 362-375.
[14] Haghani, M., & Sarvi, M. (2017). Following the crowd or avoiding it? Empirical investigation of imitative behaviour in emergency escape of human crowds. Animal behaviour, 124, 47-56.
[15] Liu, Y., & Mao, Z. (2022). An experimental study on the critical state of herd behavior in decision-making of the crowd evacuation. Physica A: Statistical Mechanics and its Applications, 595, 127087.
[16] Yen, H. H., Lin, C. H., & Tsao, H. W. (2022). Novel Smoke-Aware Individual Evacuation and Congestion-Aware Group Evacuation Algorithms in IoT-Enabled Multi-Story Multi-Exit Buildings. IEEE Access, 10, 119402-119418.
[17] Lin, J., Cao, L., & Li, N. (2019). Assessing the influence of repeated exposures and mental stress on human wayfinding performance in indoor environments using virtual reality technology. Advanced Engineering Informatics, 39, 53-61.
[18] Chen, Y., Jia, J., & Che, G. (2022). Simulation of large-scale tunnel belt fire and smoke characteristics under a water curtain system based on CFD. ACS omega, 7(44), 40419-40431.
[19] Fu, M., Liu, R., & Zhang, Y. (2021). Do people follow neighbors? An immersive virtual reality experimental study of social influence on individual risky decisions during evacuations. Automation in Construction, 126, 103644.
[20] Thompson Owain, F., Galea Edwin, R., & Hulse Lynn, M. (2018). A review of the literature on human behaviour in dwelling fires. Safety science, 109, 303-312.
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