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Document Type

Abstract

Publication Date

1-14-2026

Abstract

Large-scale stadiums and gymnasiums are important material carriers for building a higher level of public service system of national fitness and promoting the construction of a strong sports country. At present, the scale of China's sports competition and performance industry continues to expand, and the number of various commercial activities is increasing. Under this background, the safe operation of stadiums and gymnasiums is particularly important. This study constructs a model of risk identification and emergency management of large-scale stadiums and gymnasiums by introducing artificial intelligence technology, and explores a new mode of stadium management, aiming at improving the level of risk management of large-scale stadiums and gymnasiums. Method: This study employs a comprehensive approach, integrating literature review, expert interviews, and Importance-Performance Analysis (IPA) to identify risk factors in the operation of large sports venues and assess their significance and priority. Subsequently, a model-building approach was utilized to develop an intelligent operational and emergency management model for large sports venues through empirical analysis. This study identifies risk factors such as market competition, operating costs, industry standards, insurance system, management system, staffing, building materials quality, natural disasters, and constructs a risk identification and emergency management model for large-scale stadiums and gymnasiums. Meantime, establish a data collection and processing platform through the integration of intelligent devices and sensors and other technical means to provide timely access to dynamic information of venues, to provide a decision-making basis for people flow scheduling, resource allocation, and so on. Construct a risk prediction and early warning system, using the collected multi-dimensional information, combined with the actual situation of the venue, to quickly identify abnormal behavior, and automatically generate the optimal emergency response plan. This study provides a scientific and intelligent solution for the operation and safety management of large-scale stadiums and gymnasiums. In the future, it is necessary to strengthen the application and research and development of AI, explore more intelligent and automated management methods, continuously optimize the algorithm model, improve the prediction accuracy and decision support capability; Improve the data collection and analysis system, establish a data sharing mechanism, promote data circulation and collaboration among different departments. Attach importance to personnel training in the field of stadium operation and risk management, improve the professional quality and skill level of the team through training and education, and provide strong support for the high-quality development of large stadiums.

DOI

https://doi.org/10.18122/ijpah.5.1.181.boisestate

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