Author(s)

You Li, Yun Deng, Yuchuo Chen

Corresponding Author

You Li

Abstract

In order to effectively warn the risk situation of large-scale sports events, thereby reducing the impact of risks, and successfully achieving the expected goals of risk management of sports events, firstly combining the characteristics of the risks of large-scale sports events, a risk early warning model based on BP neural network is proposed, and The validity of the model was verified. The verification results show that the large-scale sports event risk early warning model based on BP neural network can achieve good early warning effect. Then, on the basis of risk early warning research, for three types of risks in large-scale sports events, namely natural environmental risk, event management risk and social environmental risk and their corresponding risk levels, namely light police, medium police and severe police, establish The event risk response matrix is set to effectively respond to various risk situations that occur in large-scale sporting events and provide a strong guarantee for the smooth realization of the final goal of large-scale sporting events.

Keywords

Large-scale event, early warning model, Identify index