Research on Influencing Factors of scenic spot passenger flow based on big data

Abstract

Abstract In 2021, driven by factors such as the continued loose fiscal and monetary policies of major economies and the acceleration of global vaccine production and vaccination, global tourism economic activities will show a clear recovery trend. As vaccination rates continue to rise and restrictions on international travel are eased around the world, the global tourism industry is continuing to grow and recover steadily. The paper first analyzes and summarizes the changing trend of tourism under the epidemic situation, and further expounds the related academic research on tourism development. Taking the Baidu Index as a measure of network attention, the Baidu Index data of national tourist attractions from April 15 to October 15, 2021 was collected to analyze the network attention of scenic spots from the perspective of time and space, combined with the unique characteristics of Hangzhou. Based on the characteristics of location and tourism resources, the factors affecting the tourist flow of scenic spots and the relationship between them were analyzed by SPSS statistical method.