Festival daily passenger flow analyzing and forecasting of Sanxingdui based on the Baidu Index

Abstract

As the main representative of ancient Shu culture and one of the precious Chinese cultural heritages, Sanxingdui Ruins has gradually been favored by Chinese and foreign tourists in recent years. Due to the influence of time factors such as festival and weekends, the daily passenger flow of Sanxingdui shows a large fluctuation characteristic. The sudden increase in the number of tourists on festival compared with ordinary days has brought challenges to the daily management of the scenic spot. At the same time, the development of new generation information technology makes network search become one of the main behaviors of tourists before travel. Therefore, this paper analyzes the correlation between Baidu Index and Sanxingdui festival daily passenger flow, and establish prediction model by using SVR prediction method combined with Baidu Index and Sanxingdui festival daily passenger flow, the model has an accurate prediction of Sanxingdui holiday passenger flow. The prediction can provide a scientific reference for the management decision-making of scenic spots on festival.