The mutual development of airport groups and regions is gradually going global with the economic globalization. There is a contradiction between Beijing-Tianjin-Hebei (Jing-Jin-Ji) Airport Group and regional development, which leads to the unbalanced development of aviation enterprises in the region. Therefore, it is of major theoretical and practical significance to analyze the coordinated development relationship between Jing-Jin-Ji Airport Group and the region. This paper selects representative index system, establishes the adaptability evaluation model of airport group and regional development, and quantitatively analyzes the adaptability level of Jing-Jin-Ji Airport Group and radiation area. Taking New York Airport Group as a reference, the synergy degree between Jing-Jin-Ji Airport Group and the region is evaluated by the synergy evaluation model. Analyze the reasons for the development of New York Airport Group, and put forward the measures for the coordinated development of Jing-Jin-Ji Airport Group and the region in the future. The results show that the synergy index (SD) of Jing-Jin-Ji Airport Group is 0.5381, which is lower than that of New York Airport Group (0.7507), and Jing-Jin-Ji Airport Group is barely synergetic. It is necessary to optimize airspace, allocate flight resources, speed up the development of airport economy, and optimize the structure of airport groups. Jing-Jin-Ji Airport Group will be accelerated to enter a high-quality collaborative stage from the aspects of system and resource integration and government leadership.

As an important transportation hub for air transportation, airports have played an important role in promoting regional economic and social development and improving the comprehensive national transportation system. The exploration of the key factors affecting the airport’s operational capacity are of great importance to the sustainable development of the civil aviation transportation industry. In order to investigate the effect of airport operation, this paper selects 13 major airports in China’s three major airport groups as the objects, defines the airport operational capacity by using entropy method combined with relevant indicators, calculates and sorts the operational capacity of sample airports, and analyzes the operational capacity of their internal airports by taking airport groups as units. By using the Tobit regression model, this paper analyzes the important factors that affect the operational capacity of sub-airports within the airport group. The results show that the economic level, urban development and the degree of opening to the outside world have a positive impact on the airport operational capacity. Different regional airport groups have different influencing factors on internal sub-airports’ operational capacity.