An Econometric Dynamic Model to estimate passenger demand for air transport industry

被引：19

作者：

Bernardo Carmona-Benitez, Rafael ^{[1
]}

Rosa Nieto, Maria ^{[1
]}

Miranda, Danya ^{[1
]}

机构：

[1] Univ Anahuac Mexico Norte, Sch Business & Econ, Ave Univ Anahuac,46,Col, Huixquilucan 52786, State Mexico, Mexico

来源：

WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016 | 2017年 / 25卷

关键词：

econometric model; dynamic model; Arellano-Bover; time series methods; air transportation; hub location problem; PANEL-DATA; AIRLINE; TIME; AIRPORTS; EUROPE; TRAVEL;

D O I：

10.1016/j.trpro.2017.05.191

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

In this paper, we propose an Econometric Dynamic Model (EDM) to estimate pax demand. We apply the panel data Arellano-Bover method to calibrate the EDM, which is validated by the Sargan test and the Arellano-Bond Autocorrelation test. We propose a forecasting approach using the EDM to foresee pax demand. Finally, we show an application of the EDM by proposing an approach to solve the Airline Airport Hub (AAH) location problem. The case study is about the Mexican air transport industry, AAHs are identified for each predicted year. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：17 / 29

页数：13

共 48 条

[1] EFFICIENT ESTIMATION OF MODELS FOR DYNAMIC PANEL-DATA [J].