Prediction of Talent Demand in Air Transportation Industry—Taking Yunnan as an Example

Jiaoyan Tang, Xinyou Liu
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Abstract

The scientific prediction of the future demand for air transportation talents is the basis of air transportation talent training planning. Based on the close relationship between air transportation employment and air passenger turnover, and the trend continuity of air passenger turnover, the talent density, trend extrapolation and regression analysis method were comprehensively used to quantitatively predict air transportation specialized talents in 2030 and 2040. The results showed that the employment number of air transportation in Yunnan Province would increase greatly in the future, and the talent density would continue to improve. Besides, the demand for air transportation specialized talents would also increase significantly. Currently, the enrollment scale of air transportation related majors in Yunnan colleges and universities basically meets the needs, while the structure of specialized talents in air transportation industry should be optimized.
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航空运输业人才需求预测——以云南为例
科学预测未来航空运输人才需求是航空运输人才培养规划的基础。基于航空运输就业与航空旅客周转率的密切关系,以及航空旅客周转率的趋势连续性,综合运用人才密度、趋势外推法和回归分析法对2030年和2040年航空运输专业人才进行了定量预测。结果表明,未来云南省航空运输业就业人数将大幅增加,人才密度将持续提高。此外,对航空运输专业人才的需求也将显著增加。目前,云南高校航空运输相关专业招生规模基本满足需求,航空运输业专业人才结构有待优化。
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