| With the continuous adjustment and upgrading of the industrial structure of the Xinjiang Uygur Autonomous Region,various tourism development policies have been continuously implemented to stimulate the development of the tourism industry.In the future,the tourism industry in Xinjiang will show rapid development.With the rapid development of tourism,the number of tourists will surely increase rapidly.Due to the vast territory of Xinjiang,air travel is the main choice for tourists.The development of tourism will inevitably have a profound impact on the structural characteristics of the aviation network.Research on the evolution of aviation network structure under the influence of tourism development is of great significance to the regional economic development of Xinjiang.This research first adopts the qualitative analysis method,considering the impact of tourism development,aviation network structure characteristics,and other social and economic factors,and establishes an indicator system for the evolution of aviation network structure characteristics under the influence of tourism development.Secondly,rely on the R coefficient correlation analysis method to quantitatively analyze the strength of the pairwise relationship between the indicators,and establish the system dynamics flow diagram model of the aviation network structure evolution based on the pairwise indicators with the correlation relationship.Subsequently,the system dynamics equation is established according to the index characteristics in the evolutionary structure system,and the quantitative analysis method of the analytic hierarchy process is used to determine the equation parameters.Finally,according to the tourism development policy and current situation in Xinjiang,five different tourism development plans were formulated.The range transformation method was used to non-dimensionally process the acquired quantitative data of indicators,and then they were brought into the system dynamics simulation model.Through model simulation,the influence of different tourism development policies on the evolution of aviation network structure characteristics is obtained,and relevant development suggestions are formulated in turn.The main studies of this article include:(1)According to the theory of system engineering,the qualitative analysis method and the R coefficient correlation analysis method are used to construct the aviation network structure evolution flow chart under the influence of the tourism industry,which can objectively reflect the positive and negative characteristics of various indicators in the complex aviation network feedback system.Negative feedback relationship.(2)With the help of the analytic hierarchy process to determine the weight and importance of each index,by introducing the mathematical ideas of system dynamics into the evolution model,and relying on computer simulation,the dynamic and quantitative analysis of aviation network structure characteristics is realized.The evolution model established in this research has a high degree of flexibility and is suitable for analysis of different scenarios.(3)Through discussing the impact of different tourism development policies on the characteristics of the aviation network structure,it is found that under the influence of the development of tourism,the evolution of the aviation network structure in Xinjiang shows typical nonlinear characteristics.The development policy of "Tourism in Xinjiang" will accelerate the evolution of the aviation network structure in Xinjiang before the third quarter of 2022.The evolution rate of the number of airports,air travel supply,average route distance,and flight frequency embodied in the aviation network structure increased by 17.5%,31.4%,17.4%,and 69.4%,respectively.After the third quarter of 2022,the impact of this policy on the evolution of aviation network structure characteristics will slow down.At that time,without a major impact on the aviation network structure,consideration can be given to improve the quality of tourism products and increasing the length of stay in tourism.. |