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Published on: June 9, 2020
Pedestrian flow characteristics through different angled bends: Exploring the spatial variation of velocity
Jamal Hannun1, Charitha Dias1,2, Alaa Hasan Taha1
1Department of Civil and Architectural Engineering, Qatar University, Doha, Qatar.
Pedestrian speeds vary significantly in bends, with slower movement near inner corners. This effect intensifies with sharper turns and higher speeds, creating potential bottlenecks in complex layouts.
Area of Science:
- Urban planning and traffic flow analysis
- Human-computer interaction and crowd dynamics
- Experimental fluid dynamics and pedestrian movement
Background:
- Complex geometrical layouts can create bottlenecks, especially during emergencies or high-density situations.
- Congestion effects in pedestrian flow are not uniformly distributed within bottleneck areas.
- Understanding spatial speed variations is crucial for effective crowd management and urban design.
Purpose of the Study:
- To investigate the spatial variation of pedestrian speeds within bends of varying angles.
- To analyze how different turning angles and walking speeds influence congestion patterns.
- To identify specific areas within bends that are prone to bottleneck formation.
Main Methods:
- Controlled laboratory experiments using trajectory data from pedestrians navigating bends.
- Inclusion of four turning angles (45°, 90°, 135°, 180°), a straight corridor, and two speed levels (normal walking, slow running).
- Statistical analysis of speed variations across different spatial locations within the bends.
Main Results:
- Pedestrian speeds significantly differ across the bend area for all tested angles (except 0°) and speed levels.
- Average walking speeds are notably lower near the inner corner compared to the outer corner of the bend.
- Speed variations are amplified with increasing bend angles and desired speeds.
Conclusions:
- Even moderate turning angles (e.g., 45°) can form bottlenecks at inner corners, particularly at higher walking speeds.
- Findings are valuable for understanding congestion in complex geometrical settings and refining simulation tools.
- This research aids in designing safer and more efficient pedestrian flow systems.
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