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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…mehr

Produktbeschreibung
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.
Autorenporträt
R. Onur YAZICI received his B.Sc in CE from Gazi University, MBA from Atilim University and M.Sc. in CE from Middle East Technical University; all in Turkey. He has worked in large construction projects in Qatar,Turkey and Iraq. He is interested in demand forecasting,neural networks, investment decision making and forecasting human behaviour.