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International air transport demand: drivers and forecasts in the Indian context

机译:国际航空运输需求:印度背景下的驱动因素和预测

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Purpose - This paper aims to provide a framework for the airlines to forecast demand, specifically on international routes operated from major metros of the USA and position their services by designing the service positioning matrix. Major benefits include route contemplation, effective fleet scheduling, decisions on aircraft and fuel purchases and developing optimal fare policies. Much effort has been directed to developing forecasts of air transport demand, particularly by airline companies and professional bodies in the air transport industry. However, detailed analysis of the characteristics of demand for air transport over long-haul or international routes is less researched. Design/methodology/approach - Major methodologies used were regression, time series analysis -Holts' exponential smoothing method. Two econometric models are formulated that capture the direct and indirect drivers of airline demand in the Indian context. Forecasts of demand are made over the next seven years until 2020. Findings - It is interesting to find that demand not only is influenced by direct parameters such as population- and behavior-oriented parameters such as income, but the macroeconomic environment of the country concerned also plays a major role in demand origination. Variables like investment, gross domestic product, etc. contribute a lot in terms of international airline demand. It is also expected that in the Indian context, demand is on a spike path over the next seven years considering the macroeconomic environment and other general economic conditions. Research limitations/implications - This paper is developed and applied in the Indian context. Results may change when applied to different countries depending on their macroeconomic conditions. Practical implications - This study will be useful for any airline in route planning, and in formulating major policy decisions. Other benefits include effective fleet scheduling, decisions on aircraft and fuel purchases and developing optimal fare policies. Originality/value - This paper adds to the existing literature by developing two demand drivers' models in the Indian context. It is first such attempt to analyse the Indian aviation industry ever since the Indian economic liberalization in 1991. Forecasts provided yield major benefits for airlines operating to and from India.
机译:目的-本文旨在为航空公司提供预测需求的框架,特别是在美国主要大都市运营的国际航线上,通过设计服务定位矩阵来定位需求并定位其服务。主要好处包括航线规划,有效的机队调度,飞机和燃油购买决策以及制定最佳票价政策。已经做出了很多努力来开发航空运输需求的预测,特别是航空公司和航空运输业的专业机构。但是,关于长途或国际航线的航空运输需求特征的详细分析研究较少。设计/方法/方法-使用的主要方法是回归,时间序列分析-霍尔茨的指数平滑法。制定了两种计量经济学模型,以捕捉印度背景下航空公司需求的直接和间接驱动因素。对需求的预测是在直到2020年的接下来的7年中进行的。结果-有趣的是,需求不仅受到直接参数(如人口导向和行为导向参数,如收入)的影响,而且还受到有关国家的宏观经济环境的影响在需求发起中也起着重要作用。投资,国内生产总值(GDP)等变量对国际航空需求有很大贡献。预计在印度的情况下,考虑到宏观经济环境和其他总体经济状况,未来七年的需求将处于高峰。研究局限性/意义-本文是在印度背景下开发和应用的。将结果应用于不同国家时,其宏观经济状况可能会有所不同。实际意义-这项研究对任何航空公司的航线规划和制定重大政策决策都将是有用的。其他好处包括有效的机队调度,飞机和燃料购买决策以及制定最佳票价政策。原创性/价值-本文通过在印度背景下开发两个需求驱动者模型来增加现有文献。自1991年印度经济自由化以来,这是第一次分析印度航空业的尝试。预测为往返印度的航空公司带来了重大收益。

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