Research on the Relationship between Tourists in Scenic Spots and the Benefits of Scenic Spots and Related Factors

Abstract

With the progress of the times, people's spiritual life has gradually improved, and the way of travel has also changed a lot. From the original train, the group car, and then to the plane, people now love self-driving travel. Now more and more people choose self-driving travel, because self-driving travel can not only bring people a sense of safety, but also is fast and convenient, so private cars have gradually become the mainstream means of transportation. However, some related issues have gradually attracted the attention of the public. This article takes the Benxi Tourism Scenic Area as the research object, and focuses on the relationship between the decision-making of tourists and the revenue of the scenic area. The operation of the scenic area has driven some surrounding industries. In this industry The problem we can see is the decision-making problem of how to receive tourists in the scenic spot. Of course, what the tourism industry cares most is what the revenue of the scenic spot is related to, and how to help the scenic spot make the right decision. This article uses SPSS, MATLAB software for modeling, neural network, genetic algorithm, cluster analysis and other algorithms for analysis and simulation. Then discuss its rationality based on examples, and finally give a perfect decision-making plan for the scenic area manager.