Investigating the Dynamics of Pedestrian Flow through Different Transition Bottlenecks

Yurong Mo (), Shiyao Qiu, Jiali Tang and Zhihong Li
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Yurong Mo: Jiangxi Traffic Monitoring Command Center, Nanchang 330036, China
Shiyao Qiu: Department of Transportation, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Jiali Tang: Jiangxi Traffic Monitoring Command Center, Nanchang 330036, China
Zhihong Li: Department of Transportation, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

Sustainability, 2024, vol. 16, issue 4, 1-17

Abstract: Congestion and queues are crucial factors in high-passenger flow areas, affecting both traffic efficiency and pedestrian comfort. Ensuring pedestrian safety in bottleneck areas is of utmost importance, and understanding flow characteristics is essential to improving resilience levels. In this study, a comparative experiment was conducted to investigate crowd dynamics in different transition bottleneck types, including straight, right-angle, and curve transitions. Pedestrian flow data were analyzed to examine the impact of transition shape on pedestrian characteristics, such as passing time, speeds, trajectories, and densities within the bottleneck. The results indicate that the curve bottleneck outperforms the other two types, significantly improving traffic capacity, particularly when the pedestrian rate ranges from 0.5 to 1.25 person/s. The curve bottleneck demonstrates the minimum passing time, lowest density, and fastest passing speed. Moreover, under various flow rates, the cumulative maximum pedestrian density of curve bottlenecks is consistently smaller than the other types. These findings offer valuable insights for designing and managing pedestrian flow in bottleneck areas to ensure safety and resilience levels.

Keywords: pedestrian dynamic; pedestrian flow; bottleneck; transition shape; traffic capacity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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