IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v36y2009i1p128-148.html
   My bibliography  Save this article

Bidirectional Collision-Avoidance Behaviour of Pedestrians on Stairs

Author

Listed:
  • Taku Fujiyama

    (Centre for Transport Studies, University College London, Gower Street, London WC1E 6BT, England)

  • Nick Tyler

    (Department of Civil, Environmental and Geomatic Engineering, University College London, Gower Street, London WC1E 6BT, England)

Abstract

Microscopic observations were performed in order to examine bidirectional collision-avoidance behaviour of pedestrians on stairs. Results suggest that characteristics of collision avoidance on stairs are different from those in a busy flat space. On stairs, pedestrians tended to detour at the beginning of a flight to avoid collision with another pedestrian already on the stairs. The authors call this lane collision avoidance. The side preference of pedestrians on stairs and the handedness of two-lane flows were explored. On dextral staircases, most pedestrians chose the right-hand side for collision avoidance, whereas in sinistral staircases, pedestrians did not necessarily choose the right-hand side. Investigation of the relative position of one pedestrian to another leading pedestrian showed that following pedestrians tended to shift laterally in relation to a leading pedestrian when the ‘front-back’ interpersonal distance between them was small. The obtained knowledge is useful for the development of pedestrian simulations.

Suggested Citation

  • Taku Fujiyama & Nick Tyler, 2009. "Bidirectional Collision-Avoidance Behaviour of Pedestrians on Stairs," Environment and Planning B, , vol. 36(1), pages 128-148, February.
  • Handle: RePEc:sae:envirb:v:36:y:2009:i:1:p:128-148
    DOI: 10.1068/b33123
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b33123
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b33123?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lam, William H. K. & Lee, Jodie Y. S. & Chan, K. S. & Goh, P. K., 2003. "A generalised function for modeling bi-directional flow effects on indoor walkways in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(9), pages 789-810, November.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hänseler, Flurin S. & Bierlaire, Michel & Farooq, Bilal & Mühlematter, Thomas, 2014. "A macroscopic loading model for time-varying pedestrian flows in public walking areas," Transportation Research Part B: Methodological, Elsevier, vol. 69(C), pages 60-80.
    2. Flötteröd, Gunnar & Lämmel, Gregor, 2015. "Bidirectional pedestrian fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 194-212.
    3. Guo, Ning & Jiang, Rui & Wong, S.C. & Hao, Qing-Yi & Xue, Shu-Qi & Xiao, Yao & Wu, Chao-Yun, 2020. "Modeling the interactions of pedestrians and cyclists in mixed flow conditions in uni- and bidirectional flows on a shared pedestrian-cycle road," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 259-284.
    4. Luo, Lin & Liu, Xiaobo & Fu, Zhijian & Ma, Jian & Liu, Fanxiao, 2020. "Modeling following behavior and right-side-preference in multidirectional pedestrian flows by modified FFCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    5. Fu, Zhijian & Luo, Lin & Yang, Yue & Zhuang, Yifan & Zhang, Peitong & Yang, Lizhong & Yang, Hongtai & Ma, Jian & Zhu, Kongjin & Li, Yanlai, 2016. "Effect of speed matching on fundamental diagram of pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 31-42.
    6. Huang, Ling & Wong, S.C. & Zhang, Mengping & Shu, Chi-Wang & Lam, William H.K., 2009. "Revisiting Hughes' dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 127-141, January.
    7. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    8. Shiwakoti, Nirajan & Sarvi, Majid, 2013. "Understanding pedestrian crowd panic: a review on model organisms approach," Journal of Transport Geography, Elsevier, vol. 26(C), pages 12-17.
    9. Lian, Liping & Song, Weiguo & Yuen, Kwok Kit Richard & Telesca, Luciano, 2018. "Investigating the time evolution of some parameters describing inflow processes of pedestrians in a room," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 77-88.
    10. Ju-Sung Lee & Tatiana Filatova & Arika Ligmann-Zielinska & Behrooz Hassani-Mahmooei & Forrest Stonedahl & Iris Lorscheid & Alexey Voinov & J. Gareth Polhill & Zhanli Sun & Dawn C. Parker, 2015. "The Complexities of Agent-Based Modeling Output Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(4), pages 1-4.
    11. Makmul, J., 2024. "A hierarchy of the optimal velocity model with optimal path for pedestrian evacuation: From microscopic to macroscopic models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    12. Saberi, Meead & Aghabayk, Kayvan & Sobhani, Amir, 2015. "Spatial fluctuations of pedestrian velocities in bidirectional streams: Exploring the effects of self-organization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 120-128.
    13. Wang, Jiayue & Boltes, Maik & Seyfried, Armin & Zhang, Jun & Ziemer, Verena & Weng, Wenguo, 2018. "Linking pedestrian flow characteristics with stepping locomotion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 106-120.
    14. Fu, Zhijian & Li, Tao & Deng, Qiangqiang & Schadschneider, Andreas & Luo, Lin & Ma, Jian, 2021. "Effect of turning curvature on the single-file dynamics of pedestrian flow: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    15. Ma, Liang & Chen, Bin & Wang, Xiaodong & Zhu, Zhengqiu & Wang, Rongxiao & Qiu, Xiaogang, 2019. "The analysis on the desired speed in social force model using a data driven approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 894-911.
    16. Cao, Mengxiao & Zhang, Guijuan & Wang, Mengsi & Lu, Dianjie & Liu, Hong, 2017. "A method of emotion contagion for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 250-258.
    17. Qingyan Ning & Maosheng Li, 2022. "Modeling Pedestrian Detour Behavior By-Passing Conflict Areas," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    18. Lili Lu, A. & Gang Ren, B. & Wei Wang, C. & Ching-Yao Chan, D., 2015. "Application of SFCA pedestrian simulation model to the signalized crosswalk width design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 76-89.
    19. Guo, Ren-Yong, 2014. "Simulation of spatial and temporal separation of pedestrian counter flow through a bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 428-439.
    20. Isabel J. Raabe & Alexander Ehlert & David Johann & Heiko Rauhut, 2020. "Satisfaction of scientists during the COVID-19 pandemic lockdown," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-7, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:36:y:2009:i:1:p:128-148. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.