Abstract
According to the multiple hierarchy stratification perspective, an individual’s demographic characteristics interact and affect their social position and, therefore, their access to services or resources. The purpose of the study is to gain a deeper understanding of how the combination of visitors’ demographic characteristics affects their probability of activity participation in a U.S. national park. We employed binary logistic regression models to determine these multiplicative effects of demographic characteristics on activity participation. The results indicate differences in the probability of participation in specific activities like camping, rock scrambling, technical climbing, and picnicking. Though there were few clear linear trends present overall for the models, the results provide validity for use of this data analysis tool to identify activity participation trends with an intersectional approach at other parks and protected areas.
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