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Analysis of Xinjiang Regional Airport Aviation Network Connectivity Drivers under Industrial Convergence
Abstract
Demand for air transportation determines the connectivity of routes between airports and influences the development of airline route networks. The demand for air transportation is affected by many factors, and socio-economic factors are one of the most important ones. In this paper, we use input-output analysis to explore the correlation between the air transportation industry and the three industries at the national level and Xinjiang level, and find that the tertiary industry has the highest direct demand for air transportation. Thus, we construct an indicator system for considering the demand for air transportation, and through the grey correlation analysis method, we find that the integration of Xinjiang's air transportation industry with the tertiary industry is in the friction stage, and at the same time, we select the contribution rate of the tertiary industry, the number of tourists, the total retail sales of consumer goods, and the passenger traffic volume of roads and railroads as the important drivers of the connectivity of Xinjiang's regional airports to the aviation network, and then we use these four drivers as the drivers for priority connectivity of the air routes of Xinjiang regional airports. The simulation network is constructed by prioritizing the connectivity of the network, and compared with the real network, it is found that the number of tourists, the passenger traffic volume of road and railroad, and the total retail sales of social consumer goods are more important drivers for the connectivity of the aviation network.
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