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

Historical airport-level General Aviation (GA) activity plays an important role in airport managerial and operational decision-making processes. The authors 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. The authors 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.

• Record URL:
  https://doi.org/10.1155/2017/9575676
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
• Supplemental Notes:
  • © 2017 Tao Li and Antonio A Trani.
• Authors:
  • Li, T
  • Trani, A A
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • Journal of Advanced Transportation
  • Volume: 2017
  • Issue Number: Article ID 9575676
  • Publisher: John Wiley & Sons, Incorporated
  • ISSN: 0197-6729
  • EISSN: 2042-3195
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Aircraft; Airport control towers; Airport operations; Decision making; General aviation; Least squares method; Optimization
• Subject Areas: Aviation; Operations and Traffic Management;

Filing Info

• Accession Number: 01664722
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 29 2018 9:32AM