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Analysing and modelling the relationship between air freight movement and airport characteristics in India

机译:分析与建模印度空运运动与机场特征的关系

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摘要

Air freight transportation is paramount for the expansion of trade and economic growth of any country. Recent statistics indicates that developing countries like India, are showing continuous growth trend in air freight sector; however, the modelling efforts for the air freight are scarce as compared to other freight mode. This paper analysed the relationship between air freight demand and airport characteristics using the aggregate data collected from the 42 airports around India. A set of statistical models were developed using regression analyses to estimate the air freight tonnage in an airport. The models are designed by considering their practical applications in facility planning and investment decision for airport infrastructure. Three different types of determinants were identified related city, physical, and operational characteristics of the airports. The results showed that number of industrial units in the city is a key determinant in predicting the air freight demand followed by population. On the other hand, physical and operational characteristics such as runway length, building area, passenger volume, and aircraft movement showed better correlation with freight activities. Another important finding is that the air freight demand will significantly change based on the city type in which the airport is located. Comparison of modelling results using different approaches revealed that that panel data regression models using airport’s operational characteristics gives better presentation of air-freight movement. Overall, the air freight demand models discussed in this paper may be utilized in facility planning, policy effect analysis and access road improvements of airports in India.
机译:空运运输对于扩大任何国家的贸易和经济增长至关重要。最近的统计数据表明,印度等发展中国家在空运部门呈现出持续的增长趋势;但是,与其他货运模式相比,空运的建模努力是稀缺的。本文分析了空运需求与机场特征之间的关系,使用印度42个机场收集的总数据。使用回归分析开发了一组统计模型,以估算机场的空运吨位。该模型是通过考虑其在机场基础设施的设施规划和投资决策中的实际应用而设计。三种不同类型的决定因素被确定有关的城市,物理和运营特征。结果表明,该市的工业单位数是预测人口之后的空运需求的关键决定因素。另一方面,跑道长度,建筑面积,乘客体积和飞机运动等物理和操作特性表现出与货运活动更好的相关性。另一个重要的发现是,基于机场所在的城市类型,空运需求将大大变化。使用不同方法的建模结果的比较显示,使用机场操作特性的面板数据回归模型可以更好地呈现空运运动。总体而言,本文讨论的空气货运需求模型可用于设施规划,政策效应分析和印度机场的通道改进。

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