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Predicting the walking speed of pedestrians on stairs

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  • Taku Fujiyama
  • Nick Tyler

Abstract

In this paper, we propose a framework in which the behaviour of a pedestrian is predicted based on the characteristics of both the pedestrian and the facility the pedestrian uses. As an example of its application, we develop a model to predict the walking speed of a pedestrian on stairs. We examine the physiology and biomechanics of walking on stairs, and then develop a model that predicts walking speed based on the weight and leg extensor power of the pedestrian, and the gradient of the stairs. The model was calibrated by experiment and validated by observations. The proposed framework establishes the importance of bridging the two types of characteristics: those of a pedestrian and those of the facility the pedestrian uses. Also, the developed walking speed model is useful for simulating how the design of stairs affects pedestrian circulation.

Suggested Citation

  • Taku Fujiyama & Nick Tyler, 2010. "Predicting the walking speed of pedestrians on stairs," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(2), pages 177-202, January.
    • Handle: RePEc:taf:transp:v:33:y:2010:i:2:p:177-202
    DOI: 10.1080/03081061003643770
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    Citations

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    Cited by:

    1. Kefan Xie & Yu Song & Jia Liu & Benbu Liang & Xiang Liu, 2018. "Stampede Prevention Design of Primary School Buildings in China: A Sustainable Built Environment Perspective," IJERPH, MDPI, vol. 15(7), pages 1-21, July.
    2. Li, Wenhang & Li, Yi & Yu, Ping & Gong, Jianhua & Shen, Shen & Huang, Lin & Liang, Jianming, 2017. "Modeling, simulation and analysis of the evacuation process on stairs in a multi-floor classroom building of a primary school," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 157-172.
    3. Anil Ufuk Batmaz & Jens Maiero & Ernst Kruijff & Bernhard E Riecke & Carman Neustaedter & Wolfgang Stuerzlinger, 2020. "How automatic speed control based on distance affects user behaviours in telepresence robot navigation within dense conference-like environments," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-41, November.
    4. Ma, Yaping & Li, Lihua & Zhang, Hui & Chen, Tao, 2017. "Experimental study on small group behavior and crowd dynamics in a tall office building evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 488-500.
    5. Wang, Li & Liu, Mao & Meng, Bo, 2013. "Incorporating topography in a cellular automata model to simulate residents evacuation in a mountain area in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(3), pages 520-528.
    6. Xu, Xin-yue & Liu, Jun & Li, Hai-ying & Jiang, Man, 2016. "Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 130-148.
    7. Elisabeth Füssl & Johannes Jaunig & Sylvia Titze, 2019. "ROUTINE: The Development of a Physical Activity Promoting Journey Planner Web App," Social Sciences, MDPI, vol. 8(3), pages 1-16, March.
    8. 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).
    9. Chen, Juan & Ma, Jian & Lo, S.M., 2018. "Geometric constraint based pedestrian movement model on stairways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1212-1230.

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