Latest revision as of 20:47, 22 March 2021

Abstract

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.

Document type: Article

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The different versions of the original document can be found in:

• http://downloads.hindawi.com/journals/jat/2017/9575676.pdf under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.1155/2017/9575676 under the license cc-by

• http://downloads.hindawi.com/journals/jat/2017/9575676.pdf,

http://downloads.hindawi.com/journals/jat/2017/9575676.xml,

http://dx.doi.org/10.1155/2017/9575676

• http://dx.doi.org/10.1155/2017/9575676,

https://doaj.org/toc/0197-6729,

https://doaj.org/toc/2042-3195 under the license http://creativecommons.org/licenses/by/4.0/

• https://www.hindawi.com/journals/jat/2017/9575676,

http://downloads.hindawi.com/journals/jat/2017/9575676.pdf,

https://doi.org/10.1155/2017%2F9575676,

https://trid.trb.org/view/1504070,

https://core.ac.uk/display/88193578,

https://academic.microsoft.com/#/detail/2739450326