مورد إلكتروني
Aviation Global Demand Forecast Model Development: Air Transportation Demand Distribution and Aircraft Fleet Evolution
| العنوان: | Aviation Global Demand Forecast Model Development: Air Transportation Demand Distribution and Aircraft Fleet Evolution |
|---|---|
| بيانات النشر: | Virginia Tech 2017-09-08 |
| تفاصيل مُضافة: | Freire Burgos, Edwin R. |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | The Portfolio Analysis Management Office (PAMO) for the Aeronautics Research Mission Directorate (ARMD) at NASA Headquarters tasked the Systems Analysis and Concepts Directorate at NASA Langley to combine efforts with Virginia Tech to develop a global demand model with the capability to predict future demand in the air transportation field. A previous study (Alsalous, 2015) started the development of the Global Demand Mode (GDM) to predict air travel demand based on Gross Domestic Product (GDP) and population trends for 3,974 airports worldwide. The study was done from year 2016 to year 2040. This research project intends to enhance the GDM capabilities. A Fratar model is implemented for the distribution of the forecast demand during each year. The Fratar model uses a 3,974 by 3,974 origin-destination matrix to distribute the demand among 55,612 unique routes in the network. Moreover, the GDM is capable to estimate the aircraft fleet mix per route and the number of flights per aircraft that are needed to satisfy the forecast demand. The model adopts the aircraft fleet mix from the Official Airline Guide data for the year 2015. Once the aircraft types are distributed and flights are assigned, the GDM runs an aircraft retirement and replacement analysis to remove older generation aircraft from the network and replace them with existing or newer aircraft. The GDM continues to evolve worldwide aircraft fleet by introducing 14 new generation aircraft from Airbus, Boeing, Bombardier, and Embraer and 5 Advanced Technology Aircraft from NASA. |
| مصطلحات الفهرس: | Air Travel Demand, Fratar Model, Trip Distribution, Worldwide Aircraft Fleet, Aircraft Fleet Evolution, New Generation Aircraft, NASA's Advanced Technology Aircraft, Thesis |
| URL: | |
| الإتاحة: | Open access content. Open access content In Copyright http://rightsstatements.org/vocab/InC/1.0Test |
| ملاحظة: | en_US |
| أرقام أخرى: | VPI oai:vtechworks.lib.vt.edu:10919/81313 1198101882 |
| المصدر المساهم: | VIRGINIA TECH From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1198101882 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |