Research on the Demand Forecast for AviationTransportation Flight Technicians under theBackground of Carbon Emission Reduction
Carbon emissions from the aviation industry pose a considerable challenge to climate change.Direct emissions from aviation into the atmosphere notably impact climate change.To control pollution, the Chinese government has set the goal of "carbon peaking by 2030 and carbon neutrality by 2060".This article explores the demand forecasting issue for aviation transportation flight technicians based on aviation carbon emission reduction background, which is conducive to the industry's high-quality development.The article constructs a demand forecasting model for aviation flight technicians based on the gray GM(1,1) model and accurately predicts the number of aviation transportation flight technicians based on historical data from 2014 to 2023.The results show that: 1.The gray GM(1,1) model is reliable for predicting the demand for flight technicians in aviation transportation.Overall, the maximum relative error between the predicted and actual values is 5.09%, the minimum relative error is 0.15%, and the average relative error is 2.015%.2. The demand for aviation transportation flight technicians shows a positive growth trend.According to the prediction results, the predicted number of civil aviation pilots in China will be 94,744 in 2024 and will reach 187,636 in 2033.3. The demand forecasting trends for airline transport pilots and commercial pilot licenses are consistent.
Authors
- Qichen Li (ORCID: https://orcid.org/0000-0003-0310-860X)
- Ying Zhang (ORCID: https://orcid.org/0000-0001-6214-2440)
- Yue Zhang (ORCID: https://orcid.org/0000-0002-4977-7510)
- Gang Zeng (ORCID: https://orcid.org/0000-0003-3788-7832)
- Yuan Shen (ORCID: https://orcid.org/0000-0003-2436-4389)
- Sana Wuren
Publication Details
- Journal
- Polish Journal of Environmental Studies
- Published
- 2025-07-21
- DOI
- https://doi.org/10.15244/pjoes/205072
- Primary Topic
- Grey System Theory Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Social Science Fund of China