Managed by the Army's 11th Aviation Wing, the SUSAEK airfield is classified as a support airfield within the military's airfields and is available for takeoffs and landings of support aircraft such as transport aircraft. The obstacle limitation surface at support airfields are categorised into four classes based on runway class and approach. Within the obstacle limitation surface of military airfields, construction, obstructions, and plantings are strictly restricted according to established altitude limits. For this reason, both government and private organisations provide information on the altitude restrictions of military airfields online. The government's online services include the 'V-World Map' and the 'Land e-Eum' information system. The 'Land e-Eum' service provides information on obstacle limitation surface, while the 'V-World Map' provides detailed altitude restriction information. However, in the case of search airfields, the two services provide different altitude restriction information, and the review analysed that they do not comply with the Military Bases and Military Facilities Protection Act. This study aims to identify the non-compliance and propose a solution through examples of altitude restrictions in nearby areas.

This study applies text mining techniques to analyze aviation safety management and propose improvement strategies for aviation services. A comprehensive dataset of 6,297 aviation-related documents, including accident reports, customer feedback, and social media posts, was collected and analyzed to extract significant keywords and patterns related to both safety and service quality. Key safety-related terms such as "weather," "in-flight safety," "crash," and "maintenance" were identified, while service-related keywords included "customer service," "reservation," "on-time performance," and "customer satisfaction." Sentiment analysis was further applied to assess the emotional tone associated with these keywords, showing that safety-related terms often correlated with negative sentiments like "dangerous," "anxious," and "unsafe," whereas service-related terms were generally linked to positive sentiments such as "satisfactory," "reliable," and "convenient." The findings emphasize the importance of utilizing real-time customer feedback and safety reports to not only enhance service quality but also strengthen safety protocols. By integrating insights from both safety and service aspects, this research contributes to the development of proactive strategies that can lead to improved customer experience and enhanced aviation safety management. The study also provides a foundation for future research and policy-making within the aviation industry.

The purpose of this study is to analyze the influence of school sentiments perceived by university students majoring in aviation service on professor-student interaction and the resulting influence on learning outcomes. First, The study results confirm that school belonging have a positive effect on professor-student interactions, including emotional interaction, career interaction, and academic interaction. Second, It is confirmed that there is a positive effect on career-related interactions and academic-related interactions among professors and students. On the other hand, emotional interaction in professor-student interactions is found to have no significant effect on learning outcomes. Third, As a result of verifying the mediating effect of teacher-student interaction, emotional interaction, career interaction, and academic interaction are found to have a mediating effect on the relationship between school belonging and learning performance. These results are intended to provide a stable college life and environment for university students majoring in aviation services and to provide useful basic data for fostering social talents required in the field.

Recently, the size and severity of disasters due to rapidly progressing global climate change are increasing, and situation prediction and response are also becoming difficult and complex. In addition, the proportion of public facilities among natural disaster damage related to climate change is increasing, and the importance of management of social infrastructure and public services is also increasing. Responses to climate change in the aviation sector are progressing in various aspects overall, but are showing somewhat different aspects. In other words, it appears that airlines are focusing on reducing aircraft engine emissions, which are the main cause of climate change, while airports are paying more attention to improving airport facilities and services as well as emissions. Considering these circumstances, this study aims to assess the vulnerability of airport facilities and analyze their risk to respond to climate change, focusing on airport facilities where airport operators play a leading role in responding to climate change in the aviation sector.

Atmospheric corrosion is a critical cause of mechanical failure in aircraft. This study applied three methodologies-PACER LIME, ISO CORRAG, and ICP-to map the atmospheric corrosivity risk distribution for aircraft and conducted an integrated analysis of the results. Geographic Information Systems (GIS) were utilized to map the distribution of 11 environmental variables. The findings revealed that PACER LIME and ISO CORRAG effectively captured the high corrosion risk in coastal areas, whereas ICP had limitations in representing the spatial distribution of corrosion risk and tended to underestimate the risk in inland areas. By integrating the risk distributions from PACER LIME and ISO CORRAG, a comprehensive atmospheric corrosivity risk map for South Korea was proposed, confirming the high corrosion risk in coastal regions. Although aircraft maintenance crews are aware of the dangers of atmospheric corrosion, they face challenges in visually recognizing the regional distribution of risk. The results of this study are expected to provide them with essential information on the distribution of atmospheric corrosion risk, enabling more effective responses to corrosion hazards.

The Ethernet-based cabin system control function of the B777-300 aircraft intermittently occurred during operation. This defect may be caused by the installation of a new system and changes in configuration, but it occurred intermittently during operation, but it caused a lot of inconvenience to passengers and crews because it occurred continuously. The defect was reported to the aircraft manufacturer and the system manufacturer and continuous review measures were requested, but a series of repetitive problems were not resolved. Therefore, as the subject of operating the aircraft, various experimental attempts were made to resolve the defect of the aircraft cabin system control, and the post-flight operation results were analyzed. As a result, it was confirmed that the defect was resolved through one of the various test operations. In this paper, an experimental method for resolving defects that were not discovered during the system development test, evaluation, and verification process of the aircraft and system manufacturers and occurred during aircraft operation was introduced, and problems were raised regarding the follow-up processing of the evaluation and verification of the system manufacturer and the aircraft manufacturer.

The continuous increase in air traffic causes airport congestion and inconvenience to passengers using the airport. Saturation of capacity is one of the factors that lowers the level of service of the airport, and it affects not only inconvenience caused by flight delays but also economic losses such as increased fuel consumption due to waiting. Therefore, it cannot be overlooked to frequently estimate and evaluate the capacity of existing airport facilities in accordance with increasing demand. In this study, the overall trend of airport capacity estimation in the past was analyzed and how it was applied was studied. Prior to analyzing the trend of capacity estimation, it was possible to define it as aircraft throughput per unit time through a literature study on the definition of airport capacity. Airport capacity estimation methods can be divided into macroscopic and microscopic methods. Absolute capacity can be calculated in a macroscopic analysis, and practical capacity can be calculated in a microscopic analysis. The biggest factor that differentiates absolute capacity from practical capacity is whether or not delay is reflected. In the case of absolute capacity, the delay is not reflected, but in the case of practical capacity, the capacity is calculated considering the delay. In addition, the absolute capacity uses a calculation formula to calculate the capacity relatively intuitively and simply, that is, macroscopically, and the practical capacity can calculate the capacity microscopically as the model is relatively specific using a simulation model.

The purpose of this study is to investigate the factors that influence passengers' willingness to provide personal information in the smart airport, with a focus on privacy concerns. Using the Privacy Calculus Theory, it examines how perceived benefits and risks affect privacy concerns, and how these privacy concerns affect trust and the path to decision making. The SEM results show that the passengers weigh the perceived benefits against the perceived risks, which has a significant impact on their privacy concerns as well as their trust in the airport service provider and their willingness to provide personal information. Effective communication about the benefits of the smart airport system and the data management policy is essential to mitigate the passengers’ privacy concerns. In addition, information sensitivity significantly influences privacy concerns and willingness to provide personal information, which has often been neglected in the previous studies. This study provides valuable insights for the management of personal information for digital services in the smart airport.

The Kamov Ka-32 with coaxial contra-rotating rotor blades has been known as one of the best helicopter for firefighting operations because it can carry the largest amount of water within the fuselage. Complex unsteady flow fields and the interference effects between the rotor blades and fuselage were investigated using an overset grid-based computational fluid dynamics (CFD) method. The governing unsteady Reynolds-averaged Navier-Stokes (RANS) equations were discretized spatially using a finite volume method. An implicit unsteady flow solver and the the Shear Stress Transport (SST) k-ω turbulence model are used. Boundary information was exchanged between overset and neighboring meshes using a weighted interpolation method. The unstructured overset grid technique are utilized in order to maximize the number of cells in the area of interest while minimizing cells in the far field. The complete configuration of Ka-32 helicopter with coaxial contra-rotating rotor blades are analyzed and numerical results are compared with actual flight test data.

This study analyzed the importance of Korean air cargo transport in the increasingly close international trade and logistics network due to the acceleration of globalization and digitalization. Korea serves as an East Asian logistics hub centered on Incheon International Airport, and contributes significantly to economic growth and international trade through air cargo transport. The study analyzed air cargo exports and imports between Korea and major trading partners (the United States, China, Vietnam, and Japan) from 2003 to 2023 using a gravity model. The results of the analysis showed that GDP per capita and population of the counterpart country acted as factors that increased export volume, and fluctuations in international oil prices and the number of airports in the counterpart country also had a significant impact on exports. On the other hand, Korea's GDP per capita and exchange rate fluctuations had a negative impact on export volume. In terms of import volume, Korea's GDP per capita and transportation infrastructure of the counterpart country had a positive impact, while flight distance had a negative impact. These results will provide useful implications for establishing Korea's air cargo transport policy and trade strategy.

Approximately 48% of Army aviation accidents are attributed to human factors, making it the most significant cause of these incidents. Army aviation helicopter pilots are composed of both officers and warrant officers, yet there is a lack of prior research specifically focused on leadership within this group. Additionally, studies examining the impact of leadership on Crew Resource Management (CRM) within Army aviation are also scarce. Due to differences in leadership training, it is expected that there will be distinct differences in empowering leadership between officers and warrant officers piloting Army helicopters, and that differences in flight experience will lead to varying CRM competencies based on flight qualifications. This study aims to identify the differences in empowering leadership between officers and warrant officers, analyze the differences in CRM competencies based on flight qualifications, and predict how empowering leadership influences their CRM competencies.

Global warming has increased turbulence, which has also affected aviation accidents. Climate change is having a big impact on safety by changing the operating conditions of aircraft, and the aviation industry is exploring various strategies to respond to it. The main contents covered in this paper are as follows. Climate change directly affects air operations through increased extreme weather events and changes in air currents. The aviation industry is responding to climate change by improving fuel efficiency, optimizing routes, and introducing eco-friendly technologies. International cooperation and policy responses are essential to responding effectively to climate change, which is an important factor in ensuring aviation safety. In this study, we analyzed the impact of global warming on the increase in turbulence in commercial aircraft. Increased atmospheric instability due to global warming increases the frequency and intensity of turbulence events, which has significant implications for aviation safety. In addition, the economic impact of increased turbulence on airlines and passengers was also analyzed. Through case studies and data analysis, we were able to empirically confirm the impact of global warming on the frequency and intensity of turbulence occurrences. The results of this analysis specifically suggest how the aviation industry should respond to the increase in turbulence due to global warming in the future.

This study analyzed the characteristics and differences in eye movements based on the manual control abilities and situation awareness of student pilots. The results revealed a strong correlation between situation awareness and flight performance, with level 2 (Comprehension) of situation awareness particularly reflecting overall situation awareness ability. This finding suggests that the capacity to not only perceive information but also to understand and interpret its significance is crucial in aviation. Eye-tracking analysis showed that student pilots with more advanced flight skills process speed information more efficiently and demonstrate higher situation awareness through active saccades between instruments. This suggests the importance of efficient visual attention distribution and visual scanning patterns. It implies that the ability to quickly and efficiently gather and process necessary information, rather than merely looking at instruments, is critical.

The domestic aviation market continues to develop due to increased leisure time, increased income, and increased domestic and international tourism. In this environment, it is very necessary to find survival strategies for airlines. The purpose of this study is to systematically analyze the relationship between airline selection attributes, user satisfaction, and repurchase intention and use this to establish the airline's marketing strategy to provide practical help in strengthening and developing the airline's competitiveness. To verify this study, the following hypothesis was established based on the theoretical background of previous research. The attributes you choose have a significant impact on user satisfaction. User satisfaction will have a significant impact on purchase intention. As a result of this study's selection attributes were found to have a significant impact on user satisfaction. It was found that user satisfaction had a significant effect on purchase intention.

Recently, Spatial Disorientation (SD) has emerged as a critical safety concern in helicopter operations, with unrecognized Type I SD posing a significant risk due to its high fatality rate. Although various methods have been proposed to detect and prevent SD, most approaches focus on recognized forms (Type II, Type III) and rely primarily on subjective, physiological, or conventional statistical analyses. This study introduces a novel system designed to detect and warn against unrecognized Type I SD by integrating flight simulation, subjective pilot assessments, and machine learning-based flight data analysis. Utilizing a helicopter flight simulator to generate realistic flight scenarios, high-quality performance data were collected and labeled through both pilot feedback and expert instructor validation. The system promptly alerts the pilot with visual LED signals, enabling rapid corrective action before critical flight deviations occur. This integrated approach demonstrates the feasibility of robust, real-time Type I SD detection and highlights the potential of advanced analytics to improve overall flight safety and operational reliability.

This paper analyzes the aviation industry's response to the global challenge of climate change. As international agreements like the Paris Agreement set goals to limit global temperature rise, industries worldwide are being called to take action. The aviation industry, one of the major contributors to greenhouse gas emissions, faces both pressure and opportunities to innovate for sustainability. This study examines the current technological advancements and regulatory measures implemented by the aviation industry to reduce environmental impact, including efforts to introduce SAF(Sustainable Aviation Fuel) and alternative fuels, the development of electric aircraft, the efficient use of electricity, and the redesign of aircraft shapes to improve fuel efficiency. Through an analysis of the aviation industry's carbon reduction activities, the study explores the challenges and potential future pathways for the aviation industry to contribute to a more sustainable future while balancing economic and operational demands.

While many nations are striving to achieve superiority in space force strength, their efforts in managing space safety at the level of national defense remain ambiguous. The Republic of Korea's Ministry of National Defense deploys the concept of national defense safety management to provide measures for preventing safety accidents including space accidents. The scope of safety management for a space force encompasses potential collisions between military satellites and orbital debris, as well as errors by space force operators. While global efforts are underway to mitigate satellite collisions with orbital debris, lessons from aviation safety underscore the need for systematic approaches. The approaches of Swiss Cheese Model applying the principles of latent conditions and active failures can be thought providing an effective framework for managing operational errors in large organizations like a military. This study suggests safety management measures for national defense space operations based on lessons leaned from Swiss Cheese Model.