Research on the Degree of Airport Intelligence Level Based on Three-Scaled Hierarchical Analysis Method

Smart airport is a key driver for the future development of civil aviation and a cornerstone of China’s ongoing “Four Airport” construction initiative. It is important to improve technology in many areas. This includes airport building, daily work, management, and making decisions. As air travel changes, using new tools like artificial intelligence, big data, and the Internet of Things (IoT) is very important. These tools help make airports more efficient, safe, and better for the environment. Because of this, building smart airports is not just a big goal but also a new way to deal with the challenges in today’s air travel systems. A key part in building smart airports is making a full evaluation system to check how well the projects are working. When a strong index system is made for smart airports, people involved can see clearly what is working well and what is not. So, chose using a three-scale hierarchical analysis method gives a clear and step-by-step way to look at different parts of smart airport building. This method helps check many things, like how well the technology fits in, how smoothly the airport works, how it affects the environment, and how users feel [1]. To check if this evaluation framework works in real life, a case study of Beijing Daxing International Airport is used. Daxing Airport is one of the top examples of smart airport building. It uses new technology and modern ways to manage the airport. So it is a good choice for this study. The case study shows that the evaluation system can work. It also gives useful advice for airport managers to make construction projects better.