Analysis of the characteristics and causal mechanisms of skiing injuries among Chinese tourists based on Apriori algorithm
The successful bidding and hosting of the Beijing Winter Olympics have promoted the rapid development of the domestic ice and snow sports industry.Although China has become the world's largest emerging market for skiing tourism,the academic community lacks due attention to the injuries that Chinese tourists encounter during skiing.This article is based on 823 domestic tourist skiing injury insurance cases,and explores the characteristics and mechanisms of tourist skiing injuries using the Apriori association rule algorithm.The results show that:(1)there are 22 strong association rules with practical significance between population characteristics,external environment,and tourist injury variables.The formation of specific skiing injury mechanisms is influenced by tourist gender,age,source area,temperature,wind,weather conditions,skiing slopes in combination of other factors.(2)There are 14 effective strong correlation rules between the variables of tourist skiing injury,and there are complex and diverse correlation relationships between the cause,type,location,and degree of tourist skiing injury.(3)The injury situation of skiing tourists in mature international markets can serve as an important reference for studying skiing injuries among Chinese tourist groups,but it is also necessary to consider the uniqueness and differences exhibited by Chinese skiing tourists in terms of injury causes,population characteristics,and other aspects.This study has practical guidance significance for the prevention and control of skiing injuries among Chinese tourists in the post-Olympic era.
ski tourismtourist injuriescausative mechanismtourism insuranceice and snow sportssports and tourism integrationChina