AN AIR TRAFFIC DEMAND FORECASTING MODEL APPLIED TO SANTANDER AIRPORT

IF 0.3 4区 工程技术 Q4 ECONOMICS International Journal of Transport Economics Pub Date : 2004-01-01 DOI:10.1400/16910
P. Coto-Millán, R. Sainz-Gonzáles, V. Sabando, G. Carrera-Gómez
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引用次数: 1

Abstract

The main contribution of this study is its use of the Box-Jenkins method to estimate passenger demand models for two different demand segments: business travel and leisure travel. This research presents an air traffic forecasting model based on an arima model. Firstly, we offer the intervention model for Easter, the number of working days and the impact of the iberia strike. Then we analyze day of week impact and carry out the forecasting. jel Classification: C53, L93, R41.
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应用于桑坦德机场的空中交通需求预测模型
本研究的主要贡献在于它使用了Box-Jenkins方法来估计两个不同需求细分的乘客需求模型:商务旅行和休闲旅行。本文提出了一种基于arima模型的空中交通预测模型。首先给出复活节、工作日数和伊比利亚罢工影响的干预模型。然后对周影响进行分析,并进行预测。凝胶分类:C53、L93、R41。
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