Modeling pedestrian walking behavior in the flow field with moving walkways

Mengchen He, Qiao Wang, Juan Chen, Shiwei Xu and Jian Ma

Physica A: Statistical Mechanics and its Applications, 2023, vol. 619, issue C

Abstract: Moving walkways are continuous transport facilities to transfer pedestrians to their destination with higher speed and less physical effort. In this work, we aim to investigate the walking behavior of pedestrians when moving walkways presents through a macroscopic continuum pedestrian traffic model. This improved model is composed of two-dimensional PDEs (Partial Differential Equations) and solved by using the fifth-order WENO scheme and Fast Marching Method. It can realize a combination of reactive-based with predictive-based strategy in a specific scene, and make the route choice more in line with the de facto decision-making process. To better describe the influence of moving walkways on pedestrian walking features, the operation speed and comfort function are introduced. The simulation results prove that the model can reproduce self-organization phenomena, such as lane formation when pedestrians walk on the moving walkways. Furthermore, we analyze the influence factors of moving walkways, for instance, the distance from the flow field exit, widths, and operation speeds on pedestrian walking behavior, and argue that the moving walkway should be considered as a special kind of bottleneck. The proposed macroscopic model can not only capture the relation between the moving walkway capacity and pedestrian movement state but also provide new insights from the density-perspective to analyze the moving walkway influence on pedestrian walking behavior, which is a complement to previous studies on speed-perspective.

Keywords: Pedestrian crowd dynamics; Moving walkway; Walking behavior; Mixed choice principle; Lane formation (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:619:y:2023:i:c:s0378437123002819

DOI: 10.1016/j.physa.2023.128726

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