Modelling the walking behavior of pedestrians in the junction with chamfer zone of subway station

Hui Zhang, Jie Xu, Limin Jia and Yihan Shi

Physica A: Statistical Mechanics and its Applications, 2022, vol. 602, issue C

Abstract: More and more passengers prefer to travel by subway system, and congestion is inevitable in the routine operation of subway stations. To alleviate congestion, junctions with chamfer zone (JCZs) are built in subway stations. The main intention of this work is to investigate the improvement of walking efficiency by the chamfer zone. Firstly, the specific walking behaviors of pedestrians in JCZs are investigated, and the principle of detour behavior is proposed. Secondly, a walking model considering the detour behavior is developed for pedestrians traversing the JCZ, and model parameters are calibrated by the Response Surface Methodology (RSM). Then, the influences of chamfer geometry on walking speed, walking time and time headways are simulated and analyzed. Results indicate that the walking efficiency will be improved by about 7.1% when the chamfer length is 1 meter. The interference among pedestrians is lower, and most time headways fall within the range of 0.1 ∼ 0.3 s, which means pedestrians walk steadily in the JCZ. Finally, the walking parameters of pedestrians in JCZs and corners are compared in various scenarios, and the matching correlation between chamfer length and turning angle is obtained.

Keywords: Detour behavior; Advanced social force model; Response Surface Methodology; Walking efficiency; Matching correlation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:602:y:2022:i:c:s0378437122004423

DOI: 10.1016/j.physa.2022.127656

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