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Experimental Investigation of Pedestrian Queuing Behaviour

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Traffic and Granular Flow '17 (TGF 2017)

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Abstract

One key aspect of pedestrian dynamics is the pedestrian queuing behaviour particularly in front of bottlenecks. As previous studies have highlighted, features of pedestrian queues in front of different types of bottlenecks are considerably dissimilar. Insights into similarities and differences of pedestrian queuing behaviour for typical bottlenecks can be important for the planning and design of public walking space. However, no sufficient empirical studies have been carried out so far to examine the diversity of pedestrian queuing behaviour. In this study, a series of experiments were performed to explore the characteristics of pedestrian queue formations under different conditions.

As the results suggest, pedestrians tend to form organized queues before bottlenecks with a clear pass control (e.g., service counters where only one person can be served once). Wider bottlenecks, capacity reductions and low service rates were found to motivate pedestrians to merge or overtake in the upstream of the bottleneck.

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Acknowledgements

The authors are thankful to the Research Center for Advanced Science and Technology, the University of Tokyo, for providing the experimental spaces.

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Authors and Affiliations

  1. Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

    Jiahua Zhang

  2. Department of Environmental Engineering and Architecture, Nagoya University, Nagoya, Japan

    Miho Iryo-Asano

  3. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Charitha Dias

Authors
  1. Jiahua Zhang
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  2. Miho Iryo-Asano
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  3. Charitha Dias
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Corresponding author

Correspondence to Jiahua Zhang .

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Editors and Affiliations

  1. Dept. of Civil & Environ. Engineering, George Washington University, Washington, DC, USA

    Samer H. Hamdar

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Zhang, J., Iryo-Asano, M., Dias, C. (2019). Experimental Investigation of Pedestrian Queuing Behaviour. In: Hamdar, S. (eds) Traffic and Granular Flow '17. TGF 2017. Springer, Cham. https://doi.org/10.1007/978-3-030-11440-4_21

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