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As the tourism industry becomes larger and larger (Shan C & Chen Y D, 2020), large-scale concentrated travel of tourists during peak tourist seasons and holidays has caused frequent tourist crowding in scenic spots, it not only seriously damages the ecological protection of the scenic spots, but also triggers a series of safety such as trampling, serious casualties and economic losses are caused(Rosa F, et al., 2015; Mccool S F &Lime D W,2001; Weng G M, et al.,2015; Zhang X P & Zhu Z F,2007). Therefore, the tourist management of scenic spots in the peak tourism period is getting more and more attention and attention. The natural environment capacity of the scenic area represents the maximum number of people that the scenic area can carry under the condition of ensuring that its own ecological environment is not damaged. For tourists, after the number of tourists in the scenic area exceeds a certain limit, the satisfaction of tourists will vary with the number of people. People increase and the satisfaction is lowered (Zhou N X,2003). Therefore, in the peak period of tourism, under the condition of ensuring that the scenic spots in the scenic spot are not overloaded, making the distribution of tourists in the scenic spot more even and balanced is the top priority of scenic spot management.
Many scholars have conducted research on the problem of diversion of scenic spots from various aspects, but most of them are case studies of a specific scenic spot, and there is no universal theoretical result to guide the diversion of different scenic spots. For example, the Jiuzhaigou Scenic Area is taken as an example, and the gravitational diversion scheduling model is used to control the distribution of tourists in the scenic area. However, in the model assumption, the critical value of the scenic area is set to infinity, even if the number of tourists is overloaded, tourists will be refused entry, it is inconsistent with the actual situation(Xiao X H, et al.,2013). Wireless radio frequency technology is introduced into the shunt navigation design model, the real-time information and location of each visitor are mastered to guide the tourists, but a specific shunt Method is not proposed (Li K Y, Chen X Y &Huang S T,2014). The Beijing Forbidden City scenic area is taken as an example, the temporal and spatial distribution characteristics of tourists are analyzed during the peak period, and a diversion strategy is proposed, but dynamic adjustments could not be made based on the real-time information of tourists (Pan H,2014). The diversion ratio of different traffic modes are simulated among scenic spots of the scenic spot, and management entropy is used as the evaluation standard, but the attributes of scenic spots themselves are ignored (Hu M M, et al., 2018).