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

Abstract

Historical airport-level General Aviation (GA) activity plays an important role in airport managerial and operational decisionmaking 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.

Improved Framework for Classification of Flight Phases of General Aviation Aircraft

“…There are two main types of method commonly used to sample historical aircraft traffic data at non-towered airports ( 2 ). One of them is to deploy air traffic counters which collect acoustic, pneumatic, and visual image information ( 2 , 3 ).…”

“…There are two main types of method commonly used to sample historical aircraft traffic data at non-towered airports ( 2 ). One of them is to deploy air traffic counters which collect acoustic, pneumatic, and visual image information ( 2 , 3 ). Another is by soliciting information from airport personnel or applying statistical methods using airport guest logs or fuel sales ( 2 , 6 ).…”

“…One of them is to deploy air traffic counters which collect acoustic, pneumatic, and visual image information ( 2 , 3 ). Another is by soliciting information from airport personnel or applying statistical methods using airport guest logs or fuel sales ( 2 , 6 ). Specifically, airport managers may sample traffic for 2 weeks for each of the four seasons and extrapolate that sample into an annual estimate ( 3 ).…”

“…There exist many general aviation (GA) airports in the U.S.A. with limited or nonexistent air traffic control facilities ( 1 ). Both government regulators and airport owners need accurate operational statistics to facilitate airport planning, environment impact estimation, and funding allocation, as well as economic impact forecasting ( 2 , 3 ). Federal Airport Improvement Program (AIP) grants are one of the primary sources for airport development, especially for small airports ( 4 ).…”

Interlayer Working Conditions Classification and Treatment Measures of Airport Asphalt Pavement Overlay

“…According to the forecast data of air volume of Juba Airport, it is estimated that in 2020, B767 aircra is the most demanding type of aircra for the pavement of Juba Airport. In this study, B767-200 was used as the design aircra [6,19,20]. e design parameters are shown in Table 2.…”