A.T.A. Airline Airport Demand Forecasts PDF Download

Author:
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ISBN:
Category : Aeronautics
Languages : en
Pages : 322

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Author:
Publisher:
ISBN:
Category : Aeronautics, Commercial
Languages : en
Pages : 312

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Author: Daniel Y. Suh
Publisher:
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Category :
Languages : en
Pages : 0

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Airport sponsors, typically municipal governments in the US, along with the Federal Aviation Administration (FAA) engage in a number of planning activities to determine the long-term development needs of airport infrastructure. One of the primary tasks of these airport planning activities is to estimate future use of the airport. Airport planners use two broad categories of methods to estimate future use of the airport; 1) peer group learning (as in, considering the experiences of "peer" airports) and 2) aviation demand forecasting. Airport master planning, a federally mandated planning process for airports for infrastructure planning such as building a new runway, for instance, relies on these techniques to be effective. Yet, there are numerous challenges to how airport planners can use these techniques effectively. These challenges can be largely categorized as the problem of demand uncertainty and optimism bias; demand uncertainty stemming from the dynamic socioeconomic and aviation industry trends and optimism bias from the economic development narrative surrounding airports and the federal funding incentives for airport infrastructure projects. Demand uncertainty and optimism bias create large forecast errors and have led airport planners to make unwise infrastructure investment decisions. In this dissertation, I use publicly available aviation and census data to develop and test new methodologies that enable airport planners to 1) identify true airport peers that share similar socioeconomic trends, 2) predict the probability of a severe contraction in passenger volumes in the next 10 years, and 3) improve forecast accuracy by incorporating past forecast errors systematically into the current forecast and "ground" optimistic forecasts. I show that the methodologies can have much more immediate and robust impact on airport planning than traditional methods to curtail demand uncertainty and optimism bias.

Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 80

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Author: Peat, Marwick, Mitchell & Co
Publisher:
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Category : Aeronautics, Commercial
Languages : en
Pages :

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Author: United States. Office of Aviation Policy and Plans
Publisher:
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Category : Aeronautics
Languages : en
Pages : 76

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Author: International Transport Forum
Publisher: OECD Publishing
ISBN: 9282108023
Category :
Languages : en
Pages : 103

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This report reviews the state of the art in forecasting airport demand. It focuses particularly on addressing demand risk, passenger behavior and uncertainty and discusses how to make more effective use of such analysis in planning decisions.

Author: Bay Area Study of Aviation Requirements
Publisher:
ISBN:
Category : Aeronautics, Commercial
Languages : en
Pages : 308

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Author: John E. Boylan
Publisher: John Wiley & Sons
ISBN: 1119135303
Category : Medical
Languages : en
Pages : 403

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INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is interested in improving forecasts of intermittent demand products, and enhancing the management of inventories. Whether you are a practitioner, at the sharp end of demand planning, a software designer, a student, an academic teaching operational research or operations management courses, or a researcher in this field, we hope that the book will inspire you to rethink demand forecasting. If you do so, then you can contribute towards significant economic and environmental benefits. No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software. “Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —Spyros Makridakis, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC). “We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.” —Suresh Acharya, VP, Research and Development, Blue Yonder. “As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.” —Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute.

Author:
Publisher:
ISBN:
Category : Aeronautics, Commercial
Languages : en
Pages : 30

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