Abstract
This study investigates strategies for enhancing the efficiency of venue resource allocation through digitalization, offering theoretical support for the sustainable development of university ice and snow sports (ISS) education. First, the study examines the current application status, existing challenges, and influencing factors related to the use of digital technology in venue resource allocation. It then analyzes the specific characteristics of ISS resources. Using Jilin Province as a case study, the Data Envelopment Analysis model is employed to evaluate the allocation efficiency of ISS resources and to propose targeted optimization strategies. Experimental results indicate that the nearest distance for ISS leisure and entertainment venues is 0.0823, significantly lower than the theoretical nearest distance of 0.2079, with a nearest neighbor index (R) of 0.396. This indicates a notable spatial aggregation of this resource type. Similarly, ISS training and competition venues show high spatial concentration, with a nearest distance of 0.0516 compared to a theoretical value of 0.2381, and a nearest neighbor index (R) of 0.217. A total of 37 resources fall within the high-development-potential range (2.280–3.417), accounting for approximately 16% of the total, including 25 ice resources and 12 snow resources. This suggests a relatively balanced distribution of resource types at this level, with a slight predominance of ice resources. These resources are typically situated in areas with advantageous geographical conditions, well-developed infrastructure, and strong market demand, exhibiting high development value and economic benefits. In conclusion, digital technology provides robust support for the promotion of ISS, facilitates the preservation and advancement of ice and snow culture, and ensures a solid foundation of talent for the sustainable development of university ISS programs.
Get full access to this article
View all access options for this article.