Empirical investigation on turning behavior of passengers in subway station

Yihan Shi, Jie Xu, Hui Zhang, Limin Jia and Yong Qin

Physica A: Statistical Mechanics and its Applications, 2022, vol. 606, issue C

Abstract: Turning junction of subway station is bottleneck being prone to congestion. Speeds of passengers fluctuate in these zones, which will diminish walking efficiency of the passengers and level of service (LOS) of facility. This paper explores the correlation between junction width and walking efficiency of passengers in subway station. Firstly, walking trajectories of passengers at junctions are abstracted from video footages with object detection and tracking algorithm. The parameters of walking behaviors of passengers in conditions with various junction widths are measured. With the calibrated turning social force model (TSFM), walking processes of passengers are simulated, and the optimal widths of junctions are estimated. Results show that the farther away from the inner turning boundary edge (TBE) is, the earlier the individual starts to turn. When junction width is more than 3 m, the walking efficiency will not be higher with junction widening during peak hours. The optimal width of junction is 5.41 m in the passenger-merging scenario with mean arrival rate of 1.67 ped ⋅ s−1.

Keywords: Trajectory abstracting; Turning junction width; Parameter calibration; Walking efficiency (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:606:y:2022:i:c:s037843712200704x

DOI: 10.1016/j.physa.2022.128140

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