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Analyzing synergistic evolution between the supply and demand facets of green airport development holds immense significance for achieving sustainable progress in airports and catalyzing the ecologically-driven transformation of civil aviation endeavors. To address the shortcomings of existing research in solving the supply-demand contradiction of airports from a unilateral perspective, starting from the perspective of symbiosis theory in ecology, this paper constructed an indicators system of supply and demand for green development of the airport based on the historical data of Guangzhou Baiyun International Airport from 2008 to 2019 and measured the population density of the supply and demand subsystems by using entropy-weighted linear weighting method. Further, a symbiotic evolution model was constructed from the perspectives of mutual independence and interaction of the two subsystems respectively to conduct a two-stage empirical study on the population evolution of the supply and demand subsystems of the airport’s green development, and a time-stacked logistic fitting method was designed to solve the problem. The results show that the population symbiotic evolution model under independent development is poorly fitted, that there is an interaction relationship between the supply and demand subsystems of green development at airports, and that the time-stacked logistic fitting method can realize an accurate description of the symbiotic evolution process of the supply and demand subsystems. In addition, the evolutionary pattern of symbiosis between supply and demand subsystems has shifted from the parasitic symbiosis in the first phase of 2008-2015 to the asymmetric mutually beneficial symbiosis in the second phase of 2015-2019, but it has not yet reached a synergistic state of high levels of mutually beneficial symbiosis.
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