Analysis of Competition Relationship of Multiairport Regional Airport Market Based on Deep Learning

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At present, China’s civil aviation industry is in a period of rapid development. The passenger traffic is increasing year by year. The contradiction between the demand and supply of flight resources is becoming more and more prominent, and the competition between airports is becoming more and more fierce. Driven by local development and the country’s overall planning, there are more and more multiairport areas, so how to analyze the airport market competition in multiairport areas needs to be further realized. This paper constructs a two-dimensional Hotelling model based on flight frequency and passenger travel cost to analyze the internal mechanism of market competition among multiple airports. It is assumed that, in a multiairport area, two airports are distributed at both ends of a linear straight line, and the other airport is in between, and each airport provides displacement services connecting the same destination airport. The research shows that, (1) with the increase of the flight frequency of the airports at both ends, its equilibrium profit shows a trend of decreasing first and then increasing; the difference of the flight frequencies of the airports at both ends affects the equilibrium profit of the middle airport. (2) With the gradual increase of flight frequency, the reduction of passenger travel cost will make the equilibrium market share and equilibrium profit show a trend of first decreasing and then increasing. (3) Taking the Yangtze River Delta regional airport as an example, it is found after verification that increasing flight frequency or reducing passenger travel costs can increase the balanced profit and market share of Hangzhou Xiaoshan Airport and Nanjing Lukou Airport; increasing flight frequency can improve the balanced profit and balanced market share of Sunan Shuofang Airport.