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Air Cargo Volume Prediction Based on Improved Gravity Model
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Chaofeng WANG, Junfei QU
Science Technology and Industry | 2025, 25(6) : 61 - 65
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Science Technology and Industry | 2025, 25(6): 61-65
Technology Innovation
Air Cargo Volume Prediction Based on Improved Gravity Model
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Chaofeng WANG, Junfei QU
Affiliations
  • Airport College, Civil Aviation Fight University of China, Deyang 618307, Sichuan, China
Published: 2025-03-25
Outline
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Air freight is an important part of modern transportation logistics system. In recent years, with the continuous development of air freight industry, the freight volume has continued to grow. Therefore, accurate prediction of air freight volume is very important for the development and operation of air transport industry. In order to scientifically predict the air cargo business volume between cities and comprehensively consider the influencing factors such as the level of urban economic development and airport facilities, the grey forecasting model was used to predict the total cargo business volume of airports, and then the comprehensive service capacity score of urban airports and the freight attraction intensity between urban nodes were determined by using principal component analysis and improved gravity model, so as to judge the trend of cargo flow. Finally, the freight volume between urban airports in 2026 was obtained by constructing a combined forecasting model. The results show that China’s air freight business market is in a period of rapid development, and the forecast of freight volume has certain reference value for setting the operating capacity of freight airports and improving the support capacity of logistics facilities.

gray prediction  /  improved gravity model  /  aviation network
Chaofeng WANG, Junfei QU. Air Cargo Volume Prediction Based on Improved Gravity Model[J]. Science Technology and Industry, 2025 , 25 (6) : 61 -65 .
Year 2025 volume 25 Issue 6
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Article Info
  • Receive Date:2024-10-12
  • Online Date:2025-07-21
  • Published:2025-03-25
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  • Received:2024-10-12
Affiliations
    Airport College, Civil Aviation Fight University of China, Deyang 618307, Sichuan, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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