Papers
1
Total Citations
5
H-Index
1
About
Shaocong Xie is a rising researcher in computational social science and crowd dynamics, with a focus on understanding how nonreciprocal interactions shape pedestrian behavior in complex environments. Their most-cited work, "Nonreciprocal interactions in crowd dynamics: Investigating the impact of moving threats on pedestrian speed preferences" (2024), has already garnered 5 citations, signaling early impact in the field. This study pioneers the integration of asymmetric social forces—where threats move differently than they are perceived—into models of pedestrian movement, revealing how perceived danger alters speed preferences and collective flow. By challenging traditional reciprocal interaction assumptions, Xie’s research offers critical insights for designing safer public spaces, from evacuation protocols to urban planning. Their work bridges physics, psychology, and engineering, providing a novel framework for predicting crowd behavior under stress. As a young scholar, Xie’s contributions are already shaping next-generation models of human mobility, with potential applications in robotics and disaster response.
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Top Papers
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