中小机场探索“起飞”新路径

Core Viewpoint - The development of small and medium-sized airports is crucial for China's civil aviation network and regional economic growth, with 189 out of 267 certified transport airports being small and medium-sized, representing 71% of the total [1] Group 1: Current Challenges and Opportunities - Small and medium-sized airports face challenges such as the need to improve operational safety, enhance planning and design, and strengthen construction management capabilities [1] - In 2024, small and medium-sized airports are projected to account for only 16.6% of the total passenger throughput of all transport airports in China, indicating both challenges and significant growth potential [1] Group 2: Regulatory and Technological Enhancements - There is a need to comprehensively improve the regulatory framework for small and medium-sized airports, ensuring that policies are updated and aligned with national strategies like rural revitalization and regional coordinated development [2] - China Aviation Information Group has developed cloud-based, lightweight, and modular smart airport solutions to address the unique needs of small and medium-sized airports, aiming to make them efficient and modern [2] Group 3: Innovative Development in Specific Regions - Chengdu's Shuangliu District is focusing on developing a comprehensive aviation industry chain, including research, manufacturing, and maintenance, leveraging resources from major companies like COMAC and Airbus [3] - Yunnan Airport Group has established a collaborative operational platform that integrates various data-sharing capabilities to enhance safety and efficiency in airport management [3] Group 4: Smart Solutions in Airport Operations - Ezhou Huahu Airport has implemented a digital twin airport model and developed a real-time flight data tracking system, achieving 100% accuracy in predicting the arrival times of international cargo flights [4] - The airport has also built an intelligent weather forecasting platform that utilizes AI technology, improving the accuracy of severe weather predictions from 90% to 95% [4]