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The Physiological Experimental Study on the Effect of Different Color of Safety Signs on a Virtual Subway Fire Escape—An Exploratory Case Study of Zijing Mountain Subway Station

Author

Listed:
  • Na Chen

    (School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Ming Zhao

    (School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Kun Gao

    (School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Jun Zhao

    (School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China)

Abstract

Safety signs play a very important role in people’s evacuation during emergencies. In order to explore the appropriate color for subway safety signs, four safety signs of different color combinations are designed, and the virtual reality, eye-tracking technology, and physiological indicator measurement are used in a virtual subway fire escape experiment. A total of 96 participants with equal distribution in gender and four different color combination groups were recruited. Participants’ eye-tracking and physiological data (heart rate, skin conductance) were real-time recorded through ErgoLAB V3.0 in the whole experiment. The relationship between Color_of_safety_sign and escape performance, eye-tracking indicators, and physiological indicators is discussed respectively through SPSS. The results show that “Green and black” group has the best evacuation escape performance, low cognitive load, high search efficiency on safety signs, and the highest stress level and immersion and “Green and black” can be the most appropriate color for safety sign. This research is of certain significance for improving the function of subway fire-fighting infrastructure and the resilience of the metro system. Moreover, it can provide references and advice on risk management, emergency evacuation, and so on.

Suggested Citation

  • Na Chen & Ming Zhao & Kun Gao & Jun Zhao, 2020. "The Physiological Experimental Study on the Effect of Different Color of Safety Signs on a Virtual Subway Fire Escape—An Exploratory Case Study of Zijing Mountain Subway Station," IJERPH, MDPI, vol. 17(16), pages 1-19, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5903-:d:398998
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    References listed on IDEAS

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    1. Peng Wang & Peng Wu & Jun Wang & Hung-Lin Chi & Xiangyu Wang, 2018. "A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training," IJERPH, MDPI, vol. 15(6), pages 1-18, June.
    2. Patrick Zou & Jie Li, 2010. "Risk identification and assessment in subway projects: case study of Nanjing Subway Line 2," Construction Management and Economics, Taylor & Francis Journals, vol. 28(12), pages 1219-1238.
    3. Meißner, Martin & Pfeiffer, Jella & Pfeiffer, Thies & Oppewal, Harmen, 2019. "Combining virtual reality and mobile eye tracking to provide a naturalistic experimental environment for shopper research," Journal of Business Research, Elsevier, vol. 100(C), pages 445-458.
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    Cited by:

    1. Na Chen & Ming Zhao & Kun Gao & Jun Zhao, 2021. "Experimental Study on the Evaluation and Influencing Factors on Individual’s Emergency Escape Capability in Subway Fire," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    2. Yixuan Wei & Jianguo Liu & Longzhe Jin & Shu Wang & Fei Deng & Shengnan Ou & Song Pan & Jinshun Wu, 2023. "Individual Behavior and Attention Distribution during Wayfinding for Emergency Shelter: An Eye-Tracking Study," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    3. Tao Huang & Shihao Zhou & Xinyi Chen & Zhengsong Lin & Feng Gan, 2022. "Colour Preference and Healing in Digital Roaming Landscape: A Case Study of Mental Subhealth Populations," IJERPH, MDPI, vol. 19(17), pages 1-19, September.
    4. Xinyi Zou & Ying Zhou, 2023. "Spatial Cognition of the Visually Impaired: A Case Study in a Familiar Environment," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    5. Zijian He & Peng Han & Zhiran Chen & Yixuan Liang & Zhihong Yang & Tao Li, 2023. "Evaluating the Effectiveness of the Earthquake Early Warning Message in China: An Affordance Perspective Using Immersive Virtual Reality," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    6. Yuqi Liu & Yao Song & Ryoichi Tamura, 2020. "Hedonic and Utilitarian Motivations of Home Motion-Sensing Game Play Behavior in China: An Empirical Study," IJERPH, MDPI, vol. 17(23), pages 1-24, November.

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