The Federal Aviation Administration (FAA) has been promoting Advanced Qualification Program (AQP) for pilot training and checking at Federal Aviation Regulations (FAR) Part 121 and Part 135 air carriers. Regarding pilot performance evaluation, instructors and evaluators assign scores to a student based on specific grading standards. To ensure the best possible quality of training and the highest level of safety, it is vital for different instructors and evaluators to grade students based on the same standard. Therefore, inter-rater and referent-rater agreement are paramount in calibrating the performance evaluation among different instructors and evaluators. This study was designed to test whether a focused workshop could increase the level of inter-rater and referent-rater agreement. A pre-test post-test control group experiment was conducted on a total of 29 Certified Flight Instructors (CFIs) at Purdue University. Participants were asked to watch several pre-scripted video flight scenarios recorded in an Embraer Phenom 100 FTD and give grades to the student pilots in the videos. After a rater training workshop that consisted of Behavior-Observation Training, Performance-Dimension Training, and Frame-of-Reference Training, participants in the treatment group were able to achieve a significantly higher level of inter-rater and referent-rater agreement.

<p>While the general public may be familiar with commercial airports, there are thousands of small General Aviation (GA) airports serving communities across the United States. Many of these airports are under pressure to survive and to bring in more revenue without impinging on the community and environment. Many organizations and governmental agencies such as the Federal Aviation Administration (FAA), now recognize the value of sustainable development and importance of operation to airport sustainability. Achieving operational sustainability is a means that may help airports on sustainable development and has positive impacts on airports’ economic viability, natural resource conservation, and social responsibility. However, airport operational sustainability is rarely defined in a consistent, measurable manner (Johnson & Gu, 2017).</p><p><br></p><p>This study explored the understanding of airport operational sustainability among five GA Regional and Local airports. Based on the findings, a new definition of airport operational sustainability for U.S Regional and Local GA airports was proposed. A set of performance metrics for airport operational sustainability was developed. The outcomes of the study may help airport shareholders contribute to airport sustainability planning through a better understanding of sustainability principles<a>. A set of performance metrics for airport operational sustainability </a>may be used to quantify the sustainability achievements of airports and help airports measure their performance.</p><p></p>

Safety is the top priority for the aviation industry and a safe airport environment is essential to aviation safety. However, due to the increasing prevalence of UAS in recent years, UAS sightings have become a potential threat to airports. When UAS appear in the vicinity of airports, they bring safety concerns and result in negative operational and economic impacts on airports. Since the FAA’s mission is to provide the safest and most efficient aerospace system in the world, further research regarding the threat of UAS sightings to airports is needed. The purpose of this study is to investigate the threat of UAS to airports and in the national airspace system (NAS). This study includes three primary components: the analysis of 6,551 Federal Aviation Administration (FAA) UAS sighting reports, a case study of the impacts of the UAS sighting at Newark Liberty International Airport (EWR) on January 22, 2019, and a synthesis of airport operator perspectives based on interviews with airport personnel at five airports. The analysis of UAS sighting reports shows the characteristics of UAS sightings, the case study on EWR UAS illustrates the impact of the UAS sighting at the airport, and interview results illustrate the current perspective of airport operators regarding the risk of UAS. Along with the results, the scientific methods of identifying and analyzing the characteristics of UAS sightings in controlled airspace close to airports could be used by researchers to study UAS sightings in the future. Findings from this study may be beneficial to multiple stakeholders, including airport personnel, regulators, entrepreneurs, and vendors in the aviation industry. <br>

<p dir="ltr">At airports, aircraft taxi time may have effect on congestion, engine pollutants, and aircraft fuel consumption. An End-Around Taxiway (EAT) improves airport runway efficiencies and safety by providing a path for aircraft to move from one side of the runway to the other side without crossing that runway (FAA, 2022). The EAT has been implemented in four airports in the U.S.: Dallas/Fort Worth International Airport (KDFW), Hartsfield-Jackson International Airport (KATL), Detroit Metro Airport (KDTW), and Miami International Airport (KMIA) (Le, 2014). Currently, all the EATs are implemented at parallel runways. Previous research have shown that EAT on parallel runways has the potential to improve airport capacity and reduce fuel consumption (Fala et al., 2014; Feng & Johnson, 2021). There was no published application or research found about implementing EAT on crossing runways. This research is an explanatory study that focuses on analyzing the effect of EATs on airports with crossing runways. This research uses dynamic discrete event stochastic simulation software to build simulation models to analyze the effects of implementing EAT at crossing runways. Using a fictional airport loosely based on existing commercial service airports, the effect of EATs on a crossing runway airport was studied. The research has three experiments to measure the effects of the EAT in terms of taxi-in time, taxi-out time, and number of operations completed.</p><p dir="ltr">The major findings of the research are: 1) using EAT for taxi-in operations significantly reduces the taxi-in time and taxi-out time at the fictional airport with crossing runways; 2) using EAT for taxi-out operation significantly increases taxi-in time at the fictional airport with crossing runways; 3) using EAT for taxi-out operations significantly reduces taxi-out times at the fictional airport with crossing runways; 4) there is no statistical significance found when implementing EAT at the fictional airport with crossing runways in terms of number of operations completed per day. The configuration of the airport, the number of operations, the weather, and other factors may affect the transfer of these results to other airports with crossing runways.</p><p dir="ltr">Current EATs are only implemented and proposed at parallel runway airports. As aviation demand grows, this research may provide insights about a novel usage and operation strategy of EATs. The simulation model in this research is subject to assumptions and limitations. Future research is needed to improve the simulation model and further explore the effect of EATs on crossing runways.</p>

<div>Airlines are legally required to provide adequate service to passengers with disabilities; this research examines the quality of service provided based on the analysis of airline complaint data and the results of a survey of passengers with disabilities. The provision of adequate service to airline passengers is challenging since passenger counts continue to rise and passengers are increasingly diverse. Airline passengers with disabilities are protected by federal legislation under the Air Carrier Access Act (ACAA), 49 U.S. Code § 41705, which prohibits discriminatory treatment of people with disabilities in air transportation. Regulations outlined in 14 CFR Part 382, Nondiscrimination on the Basis of Disability in Air Travel, require that airlines and airports are accessible, and require that airline, airport and contract personnel provide appropriate accommodations and services to people with disabilities.</div><div><br></div><div>To track operational efficiency and compliance with the ACAA, the Department of Transportation collects data on airline performance. Data are published in monthly and annual reports. One component of these reports is complaint data. Complaints are an important metric because they identify deficiencies in service.</div><div><br></div><div>Individual complaints are forwarded to airport and airline service providers for investigation; however, complaint data do not appear to be used to systematically assess the adequacy of service, as evidenced by a disproportionately high and rising number of disability complaints.</div><div><br></div><div>The objective of this research is to investigate the provision of air service for passengers with disabilities. This investigation includes identification of the regulations that affect commercial air travel for passengers with disabilities, an examination of disability-related complaints, specifically the number and rate of these complaints compared to complaints for all travelers, and an assessment of service based on a survey of passengers with disabilities.</div><div><br></div>