Jinghai Li

Papers

Total Citations

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About

Jinghai Li is a researcher whose work lies at the intersection of computational modeling, crowd dynamics, and complex systems. His most-cited paper, "An extended queueing model based on vision and morality for crowd evacuation" (2022, 13 citations), introduces a novel framework that integrates human perceptual and ethical decision-making into evacuation simulations. This contribution addresses a critical gap in crowd behavior modeling by accounting for how individuals' visual awareness and moral considerations—such as yielding to others—affect evacuation efficiency and safety. Li’s model offers practical insights for designing safer public spaces and emergency protocols, bridging theoretical queueing theory with real-world human factors. While his citation count reflects an emerging career, the work’s interdisciplinary approach—combining psychology, ethics, and computational science—marks a significant step toward more realistic crowd simulations. Li’s research is particularly relevant for students and scholars in computational social science, safety engineering, and artificial intelligence, as it demonstrates how integrating human-centric variables can enhance predictive models. His ongoing contributions continue to shape understanding of collective behavior under stress, with potential applications in urban planning and disaster management.