Network Characteristics Analysis of Air Traffic Management Technical Support System Based on Multi-source Weighting

Abstract

In order to make reasonable suggestions for the expansion of the Air Traffic Management Technical Support System (ATMTSS), it is necessary to conduct a comprehensive analysis of the ATMTSS network. This paper constructs a multi-source weighted ATMTSS network which considers the working characteristics and geographical locations of the facilities. The complex network metrics, such as degree, node strength, clustering coefficient, average path length, diameter, and the improved Fast-Newman (FN) algorithm, are used in the analysis of the network. The results show that the ATMTSS network is a complex network with small-world characteristics and random characteristics, and that the distribution of ATMTSS network support capability is not the same as the topology network structure. The weighted network is looser than the non-weighted network. The air traffic management in remote areas is less affected by facilities than that in developed areas.

Airport classification in Chinese multi-airport regions

“…Two linked methods are utilized to classify airports across multiple dimensions in Chinese MARs: hierarchical cluster analysis (Rodríguez-Déniz and Voltes-Dorta, 2014) and the Fast Newman algorithm for community structure detection (Fan et al, 2019). These are discussed in detail next.…”