Optimization Model of Tourist Regulation and Control in Aba Prefecture Scenic Spot
Aba Prefecture is a famous tourist attraction in China. In the peak season of tourism, some scenic spots in Aba Prefecture often appear the phenomenon of excessive concentration of tourists. After studying the general situation of Aba Prefecture scenic spot, this paper establishes an optimization model of tourists' regulation and control based on the maximal capacity of tourist attractions from the macro point of view by using tourists' follow-up routes, and obtains the optimal collocation scheme. Finally, the feasibility of the model is verified by data simulation. The model can make the spatial distribution of tourists in each scenic spot more balanced, avoid the phenomenon of excessive concentration of tourists in the same scenic spot at the same time, and provide a new research idea for the control of the number of tourists in Aba scenic spot or other similar scenic spots. Introduction Aba Prefecture, located in the northwest of Sichuan Province, is a tourist attraction in China. From the spatial distribution of Aba Prefecture's tourism scenic spots, it has a wide area, many scenic spots, a large distance between different scenic spots and a single route. Therefore, the diversion management of tourists in Aba scenic spot is rather difficult, especially in the peak period of tourism, diversion resources are often in short supply. How to effectively control the tourist flow in scenic spots to reduce congestion is one of the difficulties faced by scenic area management. Literature Review Scholars began to pay attention to issues related to tourism capacity and congestion in the 1960s. In terms of tourism capacity, Lapage (1963) pioneered the concept of “tourism capacity” [1] ; Wager (1964) explained the concept of “environmental capacity” [2] ; ecologist Streeter (1970) warned: to maintain The quality of the tourist site must be avoided to destroy the comfortable atmosphere and wildlife [3] . Shelby and Heberlein (1986) divided tourism capacity into four types: ecological capacity, social capacity, environmental capacity and facility capacity [4] ; D. Pearee (1986) and Inskeep (1989) successively carried out regional tourism environmental capacity and tourism. Research on bearing capacity [5-6] ;Gramann et al. (1984) found that the determinants of three types of congestion are: acceptable levels of psychological crowding, influence of others' behavior and spatial influence [7] ;Yamada (1996) proposed shortest path and minimum cost flow are used to optimize emergency evacuation, which provides ideas for evacuation of tourism congestion [8] ; Zhao Honghong (1983), Bao Jigang (1987), Zhou Gongning (1992), Yang Rui (1996), Cui Fengjun and Liu Jiaming (1998), Xu Xiaoyin (1999) and many other scholars have successively revolved