A Least-Square Model to Estimate Historical Percentages of Itinerant General Aviation Operations by Aircraft Types and Flight Rules at an Airport

Joint Authors

Li, Tao
Trani, Antonio A.

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

Civil Engineering

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