The main purpose of this study is to improve the efficiency of the manual for the aviation safety management system of the Approved(flight) Training Organization(ATO) in Korean university institutions. To achieve such purpose, universities' aviation Safety Management System(SMS) manuals were reviewed and compared. Based on the review, the first survey for aviation experts was performed to evaluate the importance of the items. A second survey focused to analyze the importance of items with high importance, which were derived from the first survey. Through Delphi analysis, the high, low important items and non-essential items were selected. Following the Delphi analysis results, frequency analysis, t-test, bivariate correlation analysis, and exploratory factor analysis were conducted. As a result of the study, the high and low importance items were identified from the manual for the aviation safety management system of the Approved Training Organization Korean university institutions.

Wind forecast is one of the key meteorological factors required for safe aircraft takeoff and landing. In this study, we developed an artificial intelligence-based wind compensation method by learning the Korea Air Force Weather Research and Forecast (KAF-WRF) forecast data and the Airfield Meteorological Observation System (AMOS) data at five airports using Support Vector Machine (SVM). The SVM wind prediction models were composed of three types according to the learning period (30 days, 40 days, and 60 days) using seven KAF-WRF variables as training data, and the wind prediction performance at the five airports was evaluated using Root Mean Squared Errors (RMSE). According to the results, the SVM wind prediction model trained using U (east-west) and V (north-south) components performed approximately 18% better than the model trained using wind speed and wind direction. The wind correction of KAF-WRF with AMOS observations via SVM outperformed the conventional KAF-WRF wind predictions in eight out of ten cases, capturing abrupt changes in wind direction and speed with a 25% reduction in RMSE.

The application eligibility rule of Aircraft Maintenance Mechanic are specifying in enforcement rule of Aviation Safety Act in Rep. of Korea. To earn licence of Aircraft Maintenance Mechanic in Rep. of Korea, the applicant must to be satisfied applicant qualification condition for second practical test, which is carried out with actual work test and oral test. Licensing and issuance of Aircraft Maintenance Mechanic of Rep. of Korea are performing by Korea Transportation Safety Authority, which is entrusted from Ministry of Land, Infrastructure and transportation. The main content of this paper is a review of the development direction of Aircraft Maintenance Licensing System for enhancement of university aviation maintenance related major's education. It is included problem of desultory changing terminology for applicant qualification, which are maintenance career, maintenance training career, maintenance practice career, maintenance work career and so on, compared to ICAO Annex 1 regulation.

In domestic airport planning, capacity assessment traditionally focuses on comparing demand forecasts with runway capacity to identify saturation periods, which overlooks operational characteristics. Even when demand does not exceed capacity, prolonged near-capacity utilization can cause significant operational issues. Therefore, it is crucial to consider operational characteristics in capacity assessments to ensure stable airport operations and efficient development planning. This study uses the Capacity Coverage Chart to analyze the operational characteristics of Incheon Airport and major international airports. Based on the analysis, it suggests improving airspace and air traffic control procedures and utilizing off-peak hours to enhance operational efficiency at Incheon Airport. However, due to geopolitical constraints, increasing operational capacity at Incheon Airport is challenging. Thus, continuous efforts to expand infrastructure are necessary to meet future demand and prevent facility saturation.

The go-around procedure plays a crucial role in aviation safety, allowing pilots to abort unsafe landings and attempt a new approach. While existing studies have primarily focused on predicting the onset of go-arounds, relatively little attention has been paid to evaluating aircraft stability and performance after a go-around has been initiated. This study aims to address this gap by systematically assessing the dynamic response and stability of aircraft following a go-around using Quick Access Recorder (QAR) data. The methodology involves classifying go-around events into 'near-ground' and 'at-altitude' categories, and analyzing changes in pitch, descent rate, engine performance, and environmental factors after the initiation of the go-around to evaluate its stability and efficiency. The XGBoost machine learning algorithm is employed to model the aircraft's response post go-around and to predict stability across various go-around scenarios. The findings from this study provide insights that can enhance the safety and efficiency of go-around procedures through systematic analysis of QAR data, contributing to improvements in operational protocols and pilot training programs.

Selecting individuals with ideal pilot aptitude is crucial to minimizing aviation accidents caused by human error and preventing economic losses due to dropouts during flight training. Specifically, the Republic of Korea Air Force implemented a new computer-based pilot aptitude test tool in 2018, which integrates cognitive ability tests and psychomotor ability tests. Additional research is necessary to overcome the limitations identified during the development phase. In this study, we analyzed the predictive validity of the newly developed pilot aptitude test by examining how well it predicts actual flight training performance among 1,078 Air Force officers. The results indicated that the test effectively predicted the completion of each training phase. Based on these findings, theoretical and practical implications were discussed.

This study evaluates the detection and utilization of wind shear using data from the Low-Level Wind Shear Alert System (LLWAS) and the Aerodrome Meteorological Observation System (AMOS) for the year 2023 at Incheon International Airport. A comparison of wind shear occurrence days revealed that LLWAS recorded 57 days, the reproduced LLWAS recorded 84 days, and AMOS recorded 163 days, with AMOS and the reproduced LLWAS showing higher occurrences. Performance metrics, including Probability of Detection (POD), False Alarm Ratio (FAR), Critical Success Index (CSI), and True Skill Statistic (TSS), were analyzed to evaluate detection capabilities. For the reproduced LLWAS, most wind shear events were detected, but the FAR was high, indicating lower performance. AMOS detected about 50% of actual wind shear events, with a lower FAR than the reproduced LLWAS but still relatively high. To improve detection performance, optimal thresholds for wind shear warnings were analyzed and adjusted, resulting in an increase in the CSI from 0.53 to 0.68 for the reproduced LLWAS and from 0.25 to 0.28 for AMOS. By adjusting the wind shear warning thresholds, the balance between POD and FAR was improved, confirming the potential for ground-based equipment to issue wind shear warnings effectively.

The purpose of the paper is to study the turnover intention of employees during the phenomenon of job insecurity. The paper examines the direct effect of job insecurity on turnover intention and the moderating role of perceived organizational support and departments in this relationship. The analysis has been done using the PROCESS macro. with the empirical data of employees of FSC(Full Service Carrier) airlines. The conclusions of this article are as follows. The paper finds that job insecurity is an antecedent to the turnover intention. This relationship is explained by perceived organizational support in detail by departs. Besides, the study establishes perceived organizational support and departs as moderator, and with high POS, strength of the relationship of job insecurity on turnover intention will be increased and varied depending on the departs. Through this findings can provide important implications as a basis for restoring organizational resilience and employee awareness, which can help in stable operation of the company.

Recently, the aviation industry has experienced a significant surge in air traffic, and Incheon Airport is no exception. The Trombone STAR procedure, introduced in June 2021, needs to be managed efficiently to cope with the increased air traffic. This study aims to analyze the current STAR procedures at Incheon Airport, identify existing issues, and propose improvements to enhance efficiency. The study compares flight trajectories and fuel consumption based on real flight data from Korean Air B747 aircraft. The results suggest that optimized STAR procedures can contribute to better fuel management, reduced flight time, and decreased carbon emissions.

Market and consumers are more expecting for government-owned corporations to follow ESG management strategies than private companies. This paper tried to research how much ESG management strategies were applied to airport authority's aircraft noise mitigation policies and to provide recommendations regarding how airport authority compliment their noise mitigation policies from aviation experts' viewpoints using AHP. According to AHP analysis, first of all, it was proven that aviation experts perceived it was important to evaluate financial soundness and eco-friendly management in noise abatement program. Moreover, the experts thought airport authority and local governmen should consider social responsibility in resident assistance program. Finally, they perceived it was also important to evaluate the effectiveness of policy enforcement while airport authority monitored the aircraft's noise reduction procedures.

Recently, urban population congestion has caused significant traffic and air pollution problems in city centers. To address these issues, Urban Air Mobility (UAM) has been proposed, with commercialization targeted for 2025 in Korea. The Korea Meteorological Administration (KMA) has been conducting the K-UAM Grand Challenge in Goheung since 2022 to develop operational standards and relevant technologies. This study uses a ultrasonic anemometer at a height of 10 meters to analyze turbulence around the vertiport. Data was collected from November 2022 to November 2023. For turbulence analysis, the Eddy Dissipation Rate (EDR = ε^1/3), defined by the International Civil Aviation Organization (ICAO), was used. EDR was calculated using Kolmogorov's theory and derived from the energy spectrum. EDR values were classified into None, Light, Moderate, and Severe, and analyzed by season, day, and wind direction. The results showed strong daytime turbulence in summer, especially with southerly winds in spring and summer, due to sea breeze fronts. This study provides essential data for planning safe UAM operations considering weather conditions.

The purpose of this study is to analyze the effects of professor-student interaction experienced by college students majoring in aviation service on academic self-efficacy and learning immersion. Considering the special nature of aviation service majors and the social changes in university education, we examined how emotional, academic, and career interactions between professors and students affect students' academic achievement and learning immersion. As a result of the study, it is confirmed that academic interaction among professor-student interactions has a positive effect on academic self-efficacy. On the other hand, emotional and career interactions among professor-student interactions do not have a significant effect on academic self-efficacy. In addition, it is analyzed that academic interaction had a positive effect on cognitive, emotional, and behavioral immersion, which are sub-factors of learning immersion. This study suggests that strengthening academic interaction with professors plays an important role in increasing academic self-efficacy and promoting learning immersion among aviation service major college students. In addition, we hope to provide basic data for establishing practical educational plans.

Aircraft are affected by various weather elements and phenomena as they operate vertically from the ground up to the tropopause and horizontally across temperate, tropical, and cold regions within a few hours. Meteorological information, which involves observing and forecasting these weather elements and phenomena, is crucial because it influences not only the safety of the aircraft and occurrences of cancellations, diversions, or delays but also the changes in flight time and fuel consumption. Since the routes of national carriers in Korea mainly cover regions with severe weather and significant weather changes, the role of systems and organizations for the collection, analysis, and application of meteorological information is important. This study investigated the operational case and effects of a meteorological organization at airline 'A'. It was confirmed that, following the establishment of this dedicated organization, more systematic application of meteorological information has shown operational effects such as enhancing flight safety, minimizing passenger inconvenience, and contributing to corporate management.

This study aims to study the learning attitudes and tendencies of learners in helicopter pilot training, examine their influence on flight training performance, and apply them to flight teaching methods. To this end, exploratory factor analysis was conducted based on the questionnaire results to measure the learning attitudes and tendencies of learners, and major learning-related factors were derived. Then, regression analysis on educational performance was performed to analyze their influence on flight training performance. As a result, it was found that the higher the learner's resilience and mastery goal-oriented learning attitude, the more positively they had an influence on flight training performance. This reconfirmed the fact that the role of the flight instructor and a high level of personal motivation or effort in the limited space of the cockpit affect flight training performance.

Recently, various urban problems are expected to arise due to the concentration of urban population and acceleration of urbanization, and UAM, a new air transportation method, is emerging to solve these problems. Currently, the world is actively conducting research and development on UAM technology, infrastructure, and systems to commercialize UAM. Although UAM is expected to develop in a similar way to the air transportation industry, research on the human factors of UAM for safe UAM operation and accident prevention is insufficient. In this study, to ensure safe operation of UAM, the human factors of UAM-PSU were identified and presented using the AHP technique targeting aviation experts. In addition, a comparative analysis of the human factors of PSU and air traffic controllers was conducted through relative importance analysis, and an efficient management plan for important human factors was presented.

Since then the aviation industry developed dramatically through the two world wars. As these high-performance aircraft were developed, pilots' training has also changed. While initial pilots' training focused on acquiring the navigation and flight skills necessary for pilots to fly an aircraft, nowadays current training focuses on understanding the system, situation awareness and decision making accordingly, and human factor management among the pilots. The result of pilot training that has achieved continuous change and development is the current Evidence-Based Training. This study aims to determine how situation awareness, problem solving and decision making and workload management, which are core elements of Evidence-Based Training, affect pilot's resilience for safe aircraft operation, and to reflect this in the development and composition of Evidence-Based Training programs to contribute to improving the resilience of individual flight crew members.

Aircraft ground services are essential to the aviation industry and aviation services, yet management systems and improvement measures for operations and safety have not been adequately addressed in the revision of the old aviation law. This study utilized structural equation modeling and the UTAUT model to analyze the perceived acceptance of smart safety technologies among ground handling service workers. The findings indicated that perceived ease of use had a more significant than perceived usefulness impact on the acceptance of smart safety technologies among ground handling service workers. In light of these findings, it is recommended that the aviation safety management authority establish a policy vision for the adoption of smart safety technologies and consider implementing measures such as the introduction of smart safety technology test beds to enhance safety management and work efficiency of aircraft ground handling services.

The determination of runway length is critical for ensuring adequate airport size and stable operating conditions. This study aims to present a methodology for calculating the optimal length of the fifth runway at Incheon International Airport, considering the operating characteristics of the aircraft, airport conditions, and environmental factors. Domestic guidelines currently lack specificity in selecting design aircraft and applying aircraft weight standards, especially for large airports with multiple runways, posing a challenge for additional runway construction. This research conducts a case study on the length determination of Incheon International Airport's fifth runway, suggesting a procedure for large airports that takes into account various factors such as design aircraft selection, weight, and airfield characteristics. Our findings recommend an optimal runway length that accommodates all aircraft operating at the airport, ensuring efficient and economic expansion tailored to the future aviation landscape.

K-drone delivery system is a commercial delivery system that ensures compliance with aviation safety. It is equipped with flight routes for automated deliveries and features a drone identification device along with a real-time monitoring system for drone positions. This study proposes the application of an ICAO SMS-based safety management system as an appropriate safety management framework that non-aviation personnel drone operators can adopt. It suggests that applying an ICAO SMS-based safety management system to the K-drone delivery system, similar to Europe and the USA, is valid. To introduce ICAO SMS into the K-drone delivery system, procedures must be established for building a drone safety management system, from business registration to drone operation and training. The main components of the drone safety management system are presented, including 8 items: safety policy and authority and responsibility, risk management, safety assurance, safety promotion, drone control system, drone delivery operation manual, drone maintenance manual, and accident response, incorporating the four fundamental elements of ICAO SMS and European Light UAV operator Certificate standards. Additionally, as a core aspect of the drone safety management system, a seven-step risk assessment procedure is proposed, which includes basic risk identification, hazard identification, risk scenario development, calculation of severity and likelihood, SMS matrix risk assessment, mitigation measures, and implementation determination.

With the global drone market surging in size, most drones are focused on design, production, operation and sales. However, there are no procedures and guidelines for drone accidents and accident investigations around the world. Recently, the International Air Accident Investigation Association (ISASI) has recognized the problems and has been guiding guidelines for unmanned aerial vehicle accident investigation to support them. Therefore, in this paper, we would like to compare the status of unmanned aerial vehicle accident investigation in each country, analyze the procedures and items of investigation, and present the direction of improvement in the procedures for conducting unmanned aerial vehicle accident investigation in Korea.

The aircraft delay rate has increased nearly three times in 2023 due to change in Korea policy of delay criteria. One of the primary causes of delays in domestic flights is related to reactionary delays, with Turnaround Time being a key factor. To mitigate reactionary delays and reduce aircraft delays, it is essential to establish an appropriate Turnaround Time and integrate it into flight schedules. This study aims to analyze the appropriate Turnaround Time for aircraft operating at Gimpo, Gimhae, and Jeju International Airports, which handle a high frequency of domestic flights. The research applies air traffic simulation, using variables such as current flight schedules, actual flight times, Turnaround Time, and flight routes to simulate actual conditions. Based on this analysis, the study seeks to identify the fitting Turnaround Time across various scenarios. The findings are expected to address reactionary delays and help reduce overall delay rates in domestic flights.

The purpose of this study is to determine whether passengers can accurately judge whether or not items can be brought on board an aircraft. And it aims to identify differences in perceived risk depending on the type of product and confirm whether this has an effect on the judgment of possibility of import. The number of cases of prohibited items being carried on board exceeded 800,000 as of October 2023, and according to Korea Airports Corporation, the number of cases of prohibited items being carried on board increased by 19.5% from a year ago to 802,578 due to the early recovery in demand for international flights. The airport authority said that if this trend continues, the number of cases detected this year is expected to reach one million. In order to determine whether passengers' judgments about carry-on items are related to the risk level of the items, a study was conducted on approximately 179 members of the public, dividing them into awareness, experience, perception, and risk level of carry-on times. The collected data was statistically processed through data coding and cleaning processes, and then analyzed using the SPSS v. 25.0 statistical package program.