The short-term passenger flow of scenic spots is affected by various factors,such as weather,holidays,etc.,which in-creases the difficulty of prediction.Therefore,a method for predicting short-term passenger flow of scenic spots based on big data analysis technology is proposed.This method collects and integrates historical data of tourist flow in scenic spots through various channels,and uses big data analysis technology to efficiently screen and extract the most relevant features for predicting tourist flow from the integrated data.Input the selected key features into the short-term passenger flow prediction model of the scenic area to ob-tain relevant prediction results.The experimental results show that the difference between the predicted and actual passenger flow values of the proposed method is small,and the F1 score is high.
关键词
大数据分析技术/景区/短期客流量/预测
Key words
big data analysis technology/scenic spot/short-term passenger flow/forecast
万方数据