A Least-Square Model to Estimate Historical Percentages of Itinerant General Aviation Operations by Aircraft Types and Flight Rules at an Airport
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-25
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Historical airport-level General Aviation (GA) activity plays an important role in airport managerial and operational decision-making processes.
We developed a model to estimate historical percentages of itinerant GA operations by four aircraft types and two flight rules.
The model is formulated as a least-square optimization model and can be applied to both towered and nontowered airports.
We applied the model to airports in the Terminal Area Forecast and compared model estimates with the observed statistics.
This study provides a method that could be used in the decision-making processes that require detailed historical GA operations.
American Psychological Association (APA)
Li, Tao& Trani, Antonio A.. 2017. A Least-Square Model to Estimate Historical Percentages of Itinerant General Aviation Operations by Aircraft Types and Flight Rules at an Airport. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1171122
Modern Language Association (MLA)
Li, Tao& Trani, Antonio A.. A Least-Square Model to Estimate Historical Percentages of Itinerant General Aviation Operations by Aircraft Types and Flight Rules at an Airport. Journal of Advanced Transportation No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1171122
American Medical Association (AMA)
Li, Tao& Trani, Antonio A.. A Least-Square Model to Estimate Historical Percentages of Itinerant General Aviation Operations by Aircraft Types and Flight Rules at an Airport. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1171122
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1171122