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Experimental study on walking preference during high-rise stair evacuation under different ground illuminations

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  • Zeng, Yiping
  • Song, Weiguo
  • Jin, Sha
  • Ye, Rui
  • Liu, Xiaodong

Abstract

Movements on stairs have attracted a lot of researchers to study in order to help evacuate as fast as possible. However, there has been much less awareness for this issue on preference for stairs and human behaviors under different illuminations. Experiments were carried out to study the human movement characteristics and human behavior performance when pedestrians walked down stairs alone. By extracting the positions of pedestrians on cameras, preference and movement characteristics were studied and discussed, and it is found that pedestrians would like to choose inner side stairs rather than outside stairs when stairs were divided into 2 parts. Besides, some conclusions can be drawn when stairs are divided into three components: when entering into sections under conditions of 100% and 12% illumination, both females and males have a preference for middle areas when the width of stairs is about 130 cm, but the preference would change with illumination conditions. Furthermore, when the illumination is 0%, the mean velocity is 0.50 ± 0.14 m/s. In addition, the usability to handrails helps to reduce time taken on interfaces or mid-landings. The results help to better understand movement during stair evacuations and are important for constructing or improving evacuation models.

Suggested Citation

  • Zeng, Yiping & Song, Weiguo & Jin, Sha & Ye, Rui & Liu, Xiaodong, 2017. "Experimental study on walking preference during high-rise stair evacuation under different ground illuminations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 26-37.
    • Handle: RePEc:eee:phsmap:v:479:y:2017:i:c:p:26-37
    DOI: 10.1016/j.physa.2017.02.060
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    References listed on IDEAS

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    Cited by:

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    2. Gao Pan & Mingxi Peng & Tiejun Zhou & Zhanzhi Wan & Zheng Liang, 2023. "Research on Safety Design Strategy of Evacuation Stairs in Deep Underground Station Based on Human Heart Rate and Ascending Evacuation Speed," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    3. Xia Zhong Zheng & Dan Tian & Ming Zhang & Chaoran Hu & Liyang Tong, 2019. "A Stairs Evacuation Model Considering the Pedestrian Merging Flows," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-11, December.
    4. Shi, Dongdong & Ma, Jian & Luo, Qian & Li, Xiaofei & Chen, Juan & Lin, Peng, 2021. "Fundamental diagrams of luggage-laden pedestrians ascending and descending stairs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    5. Wang, Xinjian & Liu, Zhengjiang & Wang, Jin & Loughney, Sean & Yang, Zaili & Gao, Xiaowei, 2021. "Experimental study on individual walking speed during emergency evacuation with the influence of ship motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    6. Deng, Fangwei & Wang, Jinghui & Li, Di & Lv, Wei & Fang, Zhiming, 2024. "Development of a three-stage hierarchical model for quick calculating stair evacuation time of high-rise building coupled with simulation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).
    7. 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).
    8. Huang, Zhongyi & Fan, Rui & Fang, Zhiming & Ye, Rui & Li, Xiaolian & Xu, Qingfeng & Gao, Huisheng & Gao, Yan, 2022. "Performance of occupant evacuation in a super high-rise building up to 583 m," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    9. Bao, Yu & Huo, Feizhou, 2021. "An agent-based model for staircase evacuation considering agent’s rotational behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    10. Guo, Ning & Ling, Xiang & Ding, Zhongjun & Long, Jiancheng & Zhu, Kongjin, 2019. "An improved heuristic-based model to reproduce pedestrian dynamic on the single-file staircase," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).

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