Stampede Dynamics

Stampede Dynamics is a theoretical framework within crowd behavior research that models the emergent, nonlinear motion patterns and collective decision-making processes in high-density human crowds under panic conditions, distinguishing itself by integrating thresholds for individual-to-collective transition and propagation of movement impulses across heterogeneous agents.

23

Publications

1K

Citations

67

Authors

40

Institutions

Publications per year

2017–2026

7

Authors

67

  1. DC
    Don C. Erman

    University of California, Berkeley, United States

    2 publications · 82 citations

    2

    h-index

  2. FH
    Feizhou Huo

    Wuhan University of Technology, China

    2 publications · 43 citations

    2

    h-index

  3. YL
    Yufei Li

    Shandong University, China

    2 publications · 43 citations

    2

    h-index

  4. MA
    Mukarram Attari

    Charles River Associates, United States

    2 publications · 60 citations

    2

    h-index

  5. YM
    Yaping Ma

    Wuhan University of Technology, China

    2 publications · 43 citations

    2

    h-index

1–5 of 67

Venues

  1. Social Problems

    2 publications · 211 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 31 citations

    2

    h-index

  3. Journal of Financial Economics

    1 publications · 43 citations

    1

    h-index

  4. Multimedia Tools and Applications

    1 publications · 20 citations

    1

    h-index

  5. Knowledge-Based Systems

    1 publications · 43 citations

    1

    h-index

1–5