Observation and cellular-automaton based modeling of pedestrian behavior on an escalator

Chuan-Zhi Xie, Tie-Qiao Tang, Peng-Cheng Hu and Liang Chen

Physica A: Statistical Mechanics and its Applications, 2022, vol. 605, issue C

Abstract: In-depth analysis of pedestrian movement behavior on staircases and escalators can significantly improve their operation efficiency and safety. However, compared with stairs, researchers have generally given little attention to pedestrian movement on escalators. In this paper, we conduct a case study to extract the physical attributes of the escalator, the pedestrians’ microscopic movement characteristics, and the macro-level pedestrian flow dynamics on the escalator of Beihang University’s canteen. Using the data, we establish a step-length-based CA model to represent the pedestrian movement across the escalator. The CA model can effectively render the pedestrian’s grouping formation and walking characteristics at the micro-level and describe the pedestrian flow at the macro-level. Through simulations, we quantitatively analyze some widely used pedestrian guidance strategies on escalators (e.g., the “walk left, stand right” rule, changing the grouping formation). The results may have bearing on real-life escalator management.

Keywords: Escalator; Cellular automaton; Pedestrian guidance strategy; Simulation (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:605:y:2022:i:c:s0378437122006471

DOI: 10.1016/j.physa.2022.128032

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