ABSTRACT
We build crowd and event models to gain insights about any potential risks that may manifest during an event. During an event, the early indication of a developing risk, the warning signs that something is going wrong, is critical to successful crowd management. Specically, we build the DIM-ICE Meta model to evaluate any potential risk inherent in the design, information and management elements at different times during an event (ingress, circulation and egress). We use RAMP and matrix analysis tools to help us qualify and quantify the crowd risks at events. This is not an intellectual exercise; we need to assess risks in order to protect the public from harm. Unless you can identify and communicate the nature and potential of crowd-related event risks, they remain problems ‘lying in wait’.
