community · 3 papers
Crowd Safety Risk Modeling
Crowd safety research focuses on understanding and mitigating risks in dense pedestrian crowds through a combination of physical modeling, predictive analytics, and systemic safety frameworks. Methods include entropy-based flow prediction models, contact force simulations to quantify individual risk, and overarching safety paradigms such as the Swiss Cheese Model adapted for crowd contexts. The work collectively aims toward a Vision Zero target—eliminating fatalities and serious injuries in crowd events.
Papers in this community
- Modelling physical contacts to evaluate the individual risk in a dense crowd 2023 DOI ↗
- Crowd Entropy-Based Prediction Model: Unidirectional Flow 2026 DOI ↗
- A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target 2023 DOI ↗