Influence of guidance signs on platform evacuation in suburban railway tunnel under smoke and obstacle environment

Yifan Zhuang , Fan Wang , Yuanchun Huang , Xiaomin Song , Ya Rao

High-speed Railway ›› 2025, Vol. 3 ›› Issue (1) : 1 -16.

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High-speed Railway ›› 2025, Vol. 3 ›› Issue (1) : 1 -16. DOI: 10.1016/j.hspr.2025.01.002
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Influence of guidance signs on platform evacuation in suburban railway tunnel under smoke and obstacle environment

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Abstract

Once a train stops in a tunnel section and requires emergency evacuation, the large distance between stations and long walking distances in the underground spaces of suburban railway systems pose potential risks to the evacuation process on tunnel platforms, especially in complex environments. This study utilized Virtual Reality (VR) technology to construct a virtual experimental platform for tunnel evacuation in suburban railway systems, simulating different combinations of smoke and obstacle conditions. By requiring participants to wear VR glasses and walk on an omnidirectional treadmill for moving, as well as complete psychological questionnaires, the study reveals the influences of No Guiding (NG) signs, Wall-Guided (WG) signs, and Central axis Guidance (CG) signs on the movement abilities and psychological behaviors of participants contrastively. The results show that either smoke conditions or obstacle positions affect the mental stress of participants, and the guidance sign has a positive effect on reducing the mental stress. There is an inverse relationship between mental stress and movement abilities. WG and CG signs respectively lead participants to walk closer to walls and along the central axis, which is conducive to reducing the variation in participants’ behavior characteristics when circumventing obstacles on the wall side or track side under smoke conditions, respectively. Additionally, CG signs reduce the speed fluctuations of participants before circumventing obstacles, improving the stability of the distance from the wall and speed under smoke conditions, compared to NG and WG signs. These findings contribute to understanding the evacuation psychological-behavioral-movement characteristics of pedestrians on evacuation platforms in suburban railway tunnels and provide a basis for improving the safety design of evacuation guidance signs.

Keywords

Tunnel evacuation platform / Pedestrian safety / VR experiment / Guidance sign / Suburban railway / Emergency evacuation

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Yifan Zhuang, Fan Wang, Yuanchun Huang, Xiaomin Song, Ya Rao. Influence of guidance signs on platform evacuation in suburban railway tunnel under smoke and obstacle environment. High-speed Railway, 2025, 3(1): 1-16 DOI:10.1016/j.hspr.2025.01.002

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CRediT authorship contribution statement

Zhuang Yifan: Writing – original draft, Methodology, Funding acquisition, Conceptualization. Wang Fan: Software, Resources, Investigation. Huang Yuanchun: Supervision, Project administration, Formal analysis. Song Xiaomin: Writing – review & editing, Funding acquisition, Data curation. Rao Ya: Funding acquisition, Resources, Writing – review & editing.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This research was supported by the National Natural Science Foundation of China (Grant Number 52472322); the Shanghai Sailing Program (Grant Number 21YF1415800); the Open Project of Key Laboratory of Advanced Public Transportation Science (Grant Number 2023-APTS-05); and the Shanghai SASAC Enterprise Innovation and Capability Enhancement Project (Grant Number 2022016, 2023020). The authors deeply appreciate the supports.

Appendix A. Details of the questionnaire

A detailed list of questions of the pre-experiment and post-experiment questionnaire can be found in Table A.

References

[1]

2023 China Urban (Suburban) Railway Market Data Report. 〈https://www.sohu.com/a/762054549_682294〉. Accessed 14 April 2024.

[2]

W. Dong, H. Huang, M. Zhong, et al., Experimental study on the inundation characteristics of flooding in a long straight subway tunnel. Tunn. Undergr. Space Technol., 144 (2024) 105566.

[3]

Y. Bai, R. Zhou, J. Wu. Hazard identification and analysis of urban utility tunnels in China. Tunn. Undergr. Space Technol., 106 (2020) 103584.

[4]

Z. Jalilibal, A. Amiri, P. Castagliola, et al., Monitoring the coefficient of variation: A literature review. Comput. Ind. Eng., 161 (2021) 107600.

[5]

G.Y. Jeon, W.J. Na, W.H. Hong, et al., Influence of design and installation of emergency exit signs on evacuation speed. J. Asian Archit. Build. Eng., 18(2)(2019), pp. 104-111.

[6]

L.T. Wong, K.C. Lo. Experimental study on visibility of exit signs in buildings. Build. Environ., 42(4)(2007), pp. 1836-1842.

[7]

H.T. Chen, P. Yang, R.C. Yu. The influence of evacuation signs on evacuation for bad visibility. Appl. Mech. Mater., 472 (2014), pp. 574-578.

[8]

M. Zhang, J. Ke, L. Tong, et al., Investigating the influence of route turning angle on compliance behaviors and evacuation performance in a virtual-reality-based experiment. Adv. Eng. Inform., 48 (2021) 101259.

[9]

M.B.N. Horasan. Occupant evacuation and orientation problems in large halls—An exhibition building case study. Fire Mater., 23(6)(1999), pp. 369-373.

[10]

S. Shan, X. Guo, Z. Wei, et al., Simulation analysis of evacuation processes in a subway station based on multi-disaster coupling scenarios. Int. J. Disaster Risk Reduct., 96 (2023) 103998.

[11]

W. Wang, J. Zhang, H. Li, et al., Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle. Phys. A Stat. Mech. Appl., 560 (2020) 125188.

[12]

S. Chen, L. Fu, J. Fang, et al., The effect of obstacle layouts on pedestrian flow in corridors: An experimental study. Phys. A Stat. Mech. Appl., 534 (2019) 122333.

[13]

W. Schüler, L.M. Bente, T.M. Deserno, et al., Real-time ECG-monitoring in virtual reality. Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications, SPIE, San Diego (2024), pp. 247-256.

[14]

J.P. Vox, A. Weber, K.I. Wolf, et al., An evaluation of motion trackers with virtual reality sensor technology in comparison to a marker-based motion capture system based on joint angles for ergonomic risk assessment. Sensors, 21(9)(2021), p. 3145.

[15]

E. Ronchi, D. Nilsson, S. Kojić, et al., A virtual reality experiment on flashing lights at emergency exit portals for road tunnel evacuation. Fire Technol., 52 (2016), pp. 623-647.

[16]

S. Yu. Application of VR intelligent technology in fire evacuation simulation of urban rail transit station. Procedia Comput. Sci., 208 (2022), pp. 223-230.

[17]

M. Zhang, J. Ke, L. Tong, et al., Investigating the influence of route turning angle on compliance behaviors and evacuation performance in a virtual-reality-based experiment. Adv. Eng. Inform., 48 (2021) 101259.

[18]

E. Duarte, F. Rebelo, J. Teles, et al., Behavioral compliance for dynamic versus static signs in an immersive virtual environment. Appl. Ergon., 45(5)(2014), pp. 1367-1375.

[19]

Y. Wu, X. Yang, Y. Li, et al., Brainwave analysis in virtual reality based emotional regulation training, 2018 International Conference on Computational Science and Computational Intelligence (CSCI), IEEE, Las Vegas, 2018, pp. 691–696.

[20]

K. Andrée, D. Nilsson, J. Eriksson. Evacuation experiments in a virtual reality high-rise building: Exit choice and waiting time for evacuation elevators. Fire Mater., 40(4)(2016), pp. 554-567.

[21]

A. Mossberg, D. Nilsson, J. Wahlqvist. Evacuation elevators in an underground metro station: A Virtual Reality evacuation experiment. Fire Saf. J., 20 (2021), pp. 103091.

[22]

E. Ronchi, M. Kinateder, M. Müller, et al., Evacuation travel paths in virtual reality experiments for tunnel safety analysis. Fire Saf. J., 71 (2015), pp. 257-267.

[23]

National Railway Administration. Code for Design of Suburban Railway. TB 10624-2020: 2020 (in Chinese).

[24]

W. Liu, J. Zhang, W. Song. The influence of fixed and moving NPC on pedestrians’ avoidance behaviors: VR-based experiments. Collect. Dyn., 6 (2021), pp. 1-15.

[25]

Ministry of Housing and Urban-Rural Development. Standard for Fire Protection Design of Metro. GB51298-2018: 2018 (in Chinese).

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