Model for Forecasting Air Passenger Aggregate Demand PDF Download
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Author: Canada. Transport Canada. CATA. Policy and Strategic Planning. Statistics and Forecasts, Air. Forecasting Research
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Canada. Transport Canada. CATA. Policy and Strategic Planning. Statistics and Forecasts, Air. Forecasting Research
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Richard T. Carson
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We analyze whether it is better to forecast air travel demand using aggregate data at (say) a national level or whether one should aggregate forecasts derived for individual airports using airport-specific data. We compare the U.S. Federal Aviation Administration's (FAA) practice of predicting the total number of passengers using macro economic variables with an equivalently specified AIM (aggregating individual markets) approach. The AIM approach outperforms the aggregate forecasting approach in terms of its out-of-sample air travel demand predictions for different forecast horizons. Variants of AIM, where we restrict the coefficient estimates of some explanatory variables to be the same across individual airports, generally dominate both the aggregate and the AIM approaches. The superior out-of-sample performance of these so-called quasi-AIM approaches depend on the trade-off between heterogeneity and estimation uncertainty. We argue that the quasi-AIM approaches efficiently exploit the heterogeneity across individual airports without suffering from as much estimation uncertainty as the AIM approach.
Author: James T. Kneafsey
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 56
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Author: Riza Onur Yazici
Publisher: LAP Lambert Academic Publishing
ISBN: 9783845409016
Category : Aeronautics, Commercial
Languages : en
Pages : 152
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Book Description
This book is focused on establishing demand forecasting models to a highly uncommon transportation problem: Air Passenger Demand Forecasting for Airports. This problem has unique features as lack of past data, data with high statistical noise, missing data and similar real-life problems.This study maybe useful for students, researchers and forecasters who has to establish models with mentioned features. In this work modern forecasting methods and tools were proposed for such solving such complex problems. Also this book can be beneficial for people who are interested in neural networks and neural forecasting models.Transportation professionals may find this work interesting because it focuses on passenger demand and models in this study can be applied to any transportation structure anywhere. Also decision makers of government professionals (especially emerging nations), private investors, banks and large construction companies may find instrumental methods like using socioeconomical indicators for establishing demand models and other similar methods. And finally this book can be useful for anyone who is interested in forecasting and/or transportation in general.
Author: Nawal K. Taneja
Publisher: Free Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 264
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Author: Yafei Zheng
Publisher: Routledge
ISBN: 1351215493
Category : Business & Economics
Languages : en
Pages : 156
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Book Description
This book provides an updated, concise summary of forecasting air travel demand methodology. It looks at air travel demand forecasting research and attempts to outline the whole intellectual landscape of demand forecasting. It helps readers to understand the basic idea of TEI@I methodology used in forecasting air travel demand and how it is used in developing air travel demand forecasting methods. The book also discusses what to do when facing different forecasting problems making it a useful reference for business practitioners in the industry.
Author: Jungman Jung
Publisher:
ISBN:
Category : Aeronautics, Commercial
Languages : en
Pages : 240
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Author: P. J. Henry
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Richard H. Zeni
Publisher:
ISBN:
Category :
Languages : en
Pages : 78
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Author: Manuel G. Russon
Publisher:
ISBN:
Category : Airlines
Languages : en
Pages : 44
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