Emergency evacuation model of nuclear power plant pedestrians considering emotional infection

Abstract

To examine how panic affects the efficiency of pedestrians evacuation during nuclear power plant emergencies, the emotional infection model, based on the heat dissipation principle, is combined with the social force model. This integration simulates the spread of panic among evacuees in these critical situations. First, the intensity of emotional infection among evacuees is defined based on the social force model. An emergency evacuation model is then developed, incorporating dynamic emotion-driven by quantifying panic levels and including device factors. Additionally, the OCEAN personality model is applied to establish the rules governing emotional infection and to guide the simulation of crowd evacuation. Then, simulation environments for both unit spaces and nuclear power plants are created to analyze how factors including pedestrians density, emotional infection intensity, device factor influence, and the number of exit points affect evacuation efficiency. The results show that the dynamic emotion-driven evacuation model of nuclear power plant pedestrians aligns well with individual movement behaviors during evacuations. In the fixed space scenario, when pedestrians density reaches 0.7/m², the slope of evacuation time is significantly steeper. In low-density scenarios, emotional infection can enhance evacuation efficiency. Conversely, in medium to high-density situations, once emotional infection intensity surpasses a certain threshold, it negatively impacts evacuation efficiency. Notably, device factors can mitigate emotional infection intensity and improve evacuation outcomes in these denser scenarios. In the emergency evacuation scenario of nuclear power plant, the dynamic emotion-driven model outperforms the traditional social force model, resulting in evacuation efficiency.