중국 항공운송산업 발전 방향에 관한 탐색적 연구 - 국가종합교통망 구축과 항공 경쟁력 확보를 위한 중국정부의 정책 방향 중심으로 -

Abstract

This study summarizes the development status of China's high-speed rail and air transport industry since 2000 in order to serve as a guide to researchers studying the “Intermodal Transport System” of roads, railways, airports and ports in China in the future. First, since 2004, when the first shovel was made in relation to the high-speed railway industry, the history of the development of China’s high-speed railway and the current and future development directions are laid out. In other words, it focuses on examples of partnerships in the initial inevitable competitive relationship between the high-speed railway and the air transport industry. The second is to check the role of the Chinese government in the course of the reorganization of China's transportation structure, which is entering a mature stage, and to look at examples. In other words, check the status of expansion projects at Hongqiao Airport and Pudong Airport as examples of transportation network construction in Shanghai and Beijing, and check the development plan and implementation details of Daxing Airport in Beijing to confirm the future direction of Chinese transportation network construction and development. Third, when allocating air routes between South Korea and China in 2019, the direction of development across the air transport industry that the Chinese government is pushing for in the future is inferred from the examples of route allocation. On the other hand, we will also draw out the meaning and implications that the Chinese government gives us through the direction of development of the organic transportation network to be pursued in the future. After all, the purpose of this study is to examine the direction of mutual development of high-speed railways and the air transport industry, which are essential to the movement of human and physical resources at home and abroad, to confirm how implementing a more advanced and effective transportation network can produce optimal results.