Xiaoping Zheng
Papers
2
Total Citations
23
H-Index
2
About
Xiaoping Zheng is a leading researcher in crowd dynamics and pedestrian evacuation modeling, with a focus on integrating psychological and perceptual factors into computational frameworks. Their work bridges the gap between physical movement and human decision-making, particularly through the development of extended queueing models that incorporate vision and morality—a novel approach that accounts for how pedestrians perceive space and make ethical choices under stress. Zheng’s 2022 paper on this topic has garnered 13 citations, establishing a foundation for more realistic evacuation simulations. In 2023, they advanced the field further by modeling mutual anticipation in crowds with attention distractions, showing how distracted pedestrians (e.g., phone users) alter collective self-organizing behaviors. This work, with 10 citations, challenges traditional vision-based heuristics by revealing how cognitive load disrupts local interactions. Zheng’s contributions are vital for designing safer public spaces and managing large-scale events, offering actionable insights into the subtle interplay of attention, morality, and movement in human crowds.
Research Focus
Key Achievements
Top Papers
- 1An extended queueing model based on vision and morality for crowd evacuation13 citations · 2022
- 2Modeling the Mutual Anticipation in Human Crowds With Attention Distractions10 citations · 2023