1. Analyze historical data

Historical data is an important basis for predicting pedestrian flow. The water park should collect information such as the number of visitors, weather conditions, holidays, event arrangements, etc. in the past few years and conduct detailed analysis. Through comparative analysis, we can find some regular things. For example, under specific weather conditions, the visitor flow of the park will usually increase; on certain dates, such as National Day, summer vacation, etc., the visitor flow of the park will increase significantly. .

2. Consider seasonal factors

The passenger flow of water parks is greatly affected by seasonal factors. Summer is the peak season for water parks, while winter is relatively slow. When predicting passenger flow, seasonal factors should be fully considered and the passenger flow in different seasons should be analyzed.