对航空业旅客需求预测的系统审查
Renju Aleyamma Zachariah1, Sahil Sharma2, Vijay Kumar3
1Sabre Travel Technologies India Private Limited, Bengaluru, Karnataka India.
概括
准确的航空需求预测对航空业至关重要. 本综述评估了各种预测方法,突出了它们的优缺点,以更好地规划网络和未来的准备.
科学领域:
- 运营研究 运营研究
- 运输科学 运输科学
- 计量经济学 计量经济学
背景情况:
- 航空需求预测对于航空公司网络设计和战略规划至关重要.
- 准确的预测能够积极调整不断变化的市场需求和挑战.
- 可靠的预测支持有效的资源配置和航空部门的运营效率.
研究的目的:
- 系统地审查和评估最近的航空需求预测研究.
- 分析各种预测方法的优缺点.
- 确定影响乘客需求的关键因素,并讨论应用领域.
主要方法:
- 关于航空需求预测技术的综合文献综述.
- 对计经济学,统计学,机器学习,深度神经网络和混合模型进行比较分析.
- 基于其性能,适用性和局限性的预测模型的评估.
主要成果:
- 确定了各种各样的预测技术,每个都有特定的优缺点.
- 突出了多个因素对乘客需求的影响.
- 详细介绍了各种建模方法的优缺点,从传统到先进.
结论:
- 航空需求预测是一个复杂但对航空业至关重要的领域.
- 了解不同预测模型的细微差别是有效网络规划的关键.
- 该研究为航空分析领域的研究人员和从业人员提供了宝贵的资源.
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