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The effectiveness of evacuation signs in buildings based on eye tracking experiment

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  • Ning Ding

    (People’s Public Security University of China
    People’s Public Security University of China)

Abstract

It is of crucial importance whether or not evacuees follow the evacuation signs during building evacuation. It is necessary for effective evacuation signs to be designed in a way that helps the occupants follow building safety guidelines. In this paper, 658 evacuation experiments with wearable eye tracking devices were carried out to test the effectiveness of both the setting positions and design of evacuation signs in buildings. There are four factors considered in this paper: (1) position, (2) colour, (3) graphics, and (4) (or flashing). The results show that the effect of the green “arrow” evacuation sign is the best. The effect of low (corridor) signs works better than those of high (room) signs, but the signs of low (corridor) could be blocked by the front evacuees. Obtaining the ratio of people obeying the evacuation signs under different conditions provides an effective basis for the improvement in design for building safety, and provides data support for computer simulation modelling of crowd evacuation.

Suggested Citation

  • Ning Ding, 2020. "The effectiveness of evacuation signs in buildings based on eye tracking experiment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1201-1218, August.
    • Handle: RePEc:spr:nathaz:v:103:y:2020:i:1:d:10.1007_s11069-020-04030-8
    DOI: 10.1007/s11069-020-04030-8
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    References listed on IDEAS

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    1. Armin Seyfried & Oliver Passon & Bernhard Steffen & Maik Boltes & Tobias Rupprecht & Wolfram Klingsch, 2009. "New Insights into Pedestrian Flow Through Bottlenecks," Transportation Science, INFORMS, vol. 43(3), pages 395-406, August.
    2. Fang, Zhiming & Song, Weiguo & Zhang, Jun & Wu, Hao, 2010. "Experiment and modeling of exit-selecting behaviors during a building evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 815-824.
    3. Shiwakoti, Nirajan & Sarvi, Majid & Rose, Geoff & Burd, Martin, 2011. "Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1433-1449.
    4. Lin, Peng & Ma, Jian & Liu, Tianyang & Ran, Tong & Si, Youliang & Li, Tao, 2016. "An experimental study of the “faster-is-slower” effect using mice under panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 157-166.
    5. Jun Hu & Zhongwen Li & Hong Zhang & Juan Wei & Lei You & Peng Chen, 2015. "Experiment and simulation of the bidirectional pedestrian flow model with overtaking and herding behavior," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(11), pages 1-14.
    6. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    7. Isobe, Motoshige & Adachi, Taku & Nagatani, Takashi, 2004. "Experiment and simulation of pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 638-650.
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    Cited by:

    1. Zhu, Yu & Chen, Tao & Ding, Ning & Chraibi, Mohcine & Fan, Wei-Cheng, 2020. "Follow the evacuation signs or surrounding people during building evacuation, an experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    2. Fan Jiang & Ning Ding & Jiguang Shi & Zhenyu Fan, 2022. "Verify the Validity of Guidance Sign in Buildings: A New Method Based on Mixed Reality with Eye Tracking Device," Sustainability, MDPI, vol. 14(18), pages 1-24, September.
    3. Ding, Ning & Chen, Tao & Zhu, Yu & Lu, Yang, 2021. "State-of-the-art high-rise building emergency evacuation behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    4. 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.
    5. Zhu, Yu & Chen, Tao & Ding, Ning & Chraibi, Mohcine & Fan, Wei-Cheng, 2021. "Follow people or signs? A novel way-finding method based on experiments and simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).

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