Research On The Network Characteristics And Adaptability Of China’s Regional Airlines

Building a strong transportation system is a crucial aspect of China’s modernized economic system and a key support for building a strong socialist modern country.The construction of a strong civil aviation industry is essential to achieving these goals.Despite China’s strong foundation in civil aviation,there are still issues such as unbalanced development and insufficient basic security that need to be addressed.This thesis aims to study the topological nature and vulnerability of the regional aviation network,analyze the adaptability of the network,and provide recommendations to promote the healthy development of China’s regional aviation business.This thesis presents an in-depth analysis of the topological characteristics of the regional airline network based on the summer-autumn flight schedule of 2021,combined with complex network theory.Firstly,this thesis calculates the basic statistical indexes of the network,and the regional airline network shows small-world characteristics and scale-free network characteristics.Further using Gephi software to calculate the centrality index,it was found that 8 airports,including Dunhuang,are at the core of the network and have convenient aviation connections with other nodes;Ordos Airport is the most active node in the network,with the highest intermediary centrality,playing an important role in intercity transfer.Highly important nodes can have a significant impact on the entire network,which means that the failure of such nodes can greatly increase the vulnerability of the network.Therefore,this thesis constructs a node importance index system and ranks the nodes according to their overall importance.It is found that the importance of Erdos,Baotou,Hailar,Korla and Beihai airports is relatively high.Using the DBSCAN algorithm,the regional airports are classified into five categories with node centrality as the characteristic.The vulnerability of the network to deliberate attacks was assessed by ranking the overall importance of the nodes.The regional airline network was found to be very vulnerable,and when the 27th node was attacked,the network efficiency dropped to 10%,resulting in network paralysis.When the regional airline network was attacked randomly based on the results of the DBSCAN algorithm clustering,the impact on network efficiency and connectivity was found to be significant when the key nodes were attacked.To further analyze the adaptability level of the regional airline network,the coupling coordination concept was used in this study,and a projection pursuit model based on the sparrow algorithm was used to solve the coupling coordination degree between the regional airport network characteristics and the city’s socio-economic subsystems.The relative development degree of the two subsystems was calculated.After determining the evaluation type and standards for coupling coordination degree,the adaptability types of each airport were determined,and corresponding development suggestions for airports and cities were proposed.Finally,based on the actual situation of China’s regional aviation and research results,relevant policy suggestions were proposed to provide useful reference for the further development of regional aviation.