Analyzing The Structure Of Chinese Aviation Network And Impact Factors

Air service is the traffic way that increases by most quickly since the reform and openness. From 1980 to 2004, the passenger-kilometers annual equal growth rate of civil aviation services exceeded 17%, whereas, that of all carrying trades is only 8.54%. Among the cities transportation, aviation transportation's mark share increased by 10.93% in 2004 till 1.7% in 1980. The high speed increases tendency of CAAC is broadly looked to further increase. The Chinese aviation industry the first group company thinks that the Chinese economy will continuedly increase in coming 20 years and the passenger transportation turnover amounts of Chinese aviation will reach 8,902 hundred million people kilometer in 2024. Its annual equal growth rate is 8.4% at the entire forecast period. Boeing Company point out that China will be the second civil aviation services market.The demands of Chinese economy fast development for more high-effect civil aviation transports network will cause establishing the new routes in Chinese aviation network. The airlines will face the questions that what cities are chosen as the nodes of aviation network and how to choose cities pair to establish airline.Based on the need of Chinese aviation network, the thesis will study Chinese aviation passenger transportation network, where nodes and edges denote cities and direct fights, and apply count physics method to research the topological structure and impact factors of Chinese aviation network. Through analyzing the topological structure of the present network, we can understand the anticipated behavior characteristic of the present network. Further, the impact factors of the present network's airline are analyzed that will provide theory prop up for the airlines making airline decisions.Firstly, the thesis analyzes the present situation of Chinese aviation network. Air service of China has fleetly developed and shaped the trunk line aviation network taking Beijing, Shanghai, Guangzhou and Shenzhen as centers and crossing province airlines as backbones. Part of provinces have shaped the radiated local aviation network taking the provincial capital or the main cities as centers and feeder lines as the main body, and connected the national aviation network through the skeleton lines.Secondly, the basic statistical characteristics and the correlation properties of the present network are analyzed. The results show that the present network is a small-world network, and its degree distribution follows a double power law. There are nodes with small degree but high betweenness centrality. Although the distributions of edge weight, node strength and betweenness are not typical power-law, they are all wide distributions with approximate properties of power-law distribution. The present network exhibit uncorrelated mixing when k<12, while shows diassortative mixing when k≥12. The present network displays an obviously hierarchical property and the correlation between weight and degree is none-linear.Thirdly, based on the rule of cities spatial interplay, three factors that impact civil aviation passenger traffic are chosen through correlation analysis and Granger causality. They include population, distance between two cities and the tertiary industry output value.Finally, using the real network's scale and the node's attribute, two kinds of networks are simulated by using above three variables as the factors of preferential attachment probabilistic model. The results indicate the influence of population, and distance on the Chinese aviation network route is not remarkable. However, using the tertiary industry output value as the factor of preferential attachment probabilistic model, the degree distribution, the average shortest path length, the clustering coefficient and betweenness centrality distribution are closed to the real network's, which indicates the tertiary industry output value of city is the impact factor of airline connection and the structure of the present network.