An intelligent diversion method for tourists in scenic spots based on behavioral characteristics

Abstract

This paper focused on the problem of time-space diversion and navigation of tourists in scenic spots. Through the analysis and research on the three major behavior characteristics of tourists in scenic spots, namely, the characteristics of recreation direction, the characteristics of recreation speed and the characteristics of recreation time, a method of real-time diversion with minimum cost is proposed, and an intelligent diversion model based on “behavior characteristics” is constructed Guilin Qixing scenic spot is used as an example for analysis and test. The test results show that the intelligent diversion model can effectively guide tourists to the scenic spots with the shortest waiting time and solve the problem of uneven load on each scenic spot. Through the scientific diversion design in time and space, it can not only improve the satisfaction of tourists, but also help the scenic spot personnel to grasp the use of resources in the scenic spot at any time, improve the quality of normalized management of scenic spots, and provide a theoretical and practical basis for the further development of smart Tourism in major scenic spots.