The Journal of aviation medicine最新文献

{"title":"Strategic Decisions and Policies on Türkiye-Europe Air Cargo Transport","authors":"Hüseyin Önder ALDEMİR, Cem ERSÖZ","doi":"10.30518/jav.1350271","DOIUrl":"https://doi.org/10.30518/jav.1350271","url":null,"abstract":"This study examines the air cargo traffic in terms of transported cargo weights between Europe and Türkiye in the 10-year period between 2012 and 2021. Annual data was obtained from EUROSTAT and then this data was processed by using R language and Minitab. Freight tonne kilometers (FTKs) growth analyses for the World, Europe and Türkiye were done by fitting exponential curves to the data. Forecast for cargo traffic between Türkiye and Europe were done using exponential smoothing with trend adjustment method. The results reveal the strategic decisions for determining airport pairs in air cargo transport between Europe and Türkiye. It has been determined that there is air cargo transportation between 11 airports from Türkiye and 90 airports from 31 European countries. The most striking result of this study is that while Istanbul IGA airport serves as the main hub for air cargo transportation with other airports in Europe, Sabiha Gökçen airport has been on the way to become a secondary hub in recent years with the strategic agreements between airports. The transported air cargo weight between remaining 8 airports (since Atatürk airport closed to air cargo in 2022) in Türkiye and European airports is negligible. Determinants of choosing these airports might possibly be geographic locations, political relations with these countries, specific products of these locations, closeness to the industrial regions.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"2 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relations Between Digitalization and Employee Satisfaction In Aviation","authors":"P. Başar, Gamze Arkan","doi":"10.30518/jav.1307693","DOIUrl":"https://doi.org/10.30518/jav.1307693","url":null,"abstract":"Digital transformation and Industry 4.0 concepts constitute an important interaction in professional life. Recently academic studies have been focusing on this area. The aim of this research is to examine the positive or negative effects of digital transformation in the aviation sector on employee satisfaction with a survey. \u0000The sample of the study consists of 245 employees in the aviation sector. \u0000Digitalization can have both positive and negative effects on employee satisfaction in aviation. On the positive side, digital technologies can improve the efficiency and safety of operations, leading to increased job satisfaction and a sense of accomplishment among employees. Automation can reduce the workload of employees, freeing up their time for more rewarding tasks, and reducing the risk of human error. Additionally, digital technologies can provide employees with access to real-time data and information, enabling them to make better decisions and be more productive. \u0000 It has been demonstrated that digital transformation in the aviation industry has a positive relationship with employee satisfaction. It is recommended that the study be implemented in other sectors and then a holistic approach should be developed.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"90 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82362867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing Criteria Affecting Decision-Making Processes of Human Resource Management in the Aviation Sector - A Fuzzy Logic Approach","authors":"Filiz Mizrak","doi":"10.30518/jav.1331688","DOIUrl":"https://doi.org/10.30518/jav.1331688","url":null,"abstract":"In today's fast-paced and ever-changing business landscape, effective decision-making is paramount to achieving success and maintaining a competitive edge. This holds particularly true in the aviation sector, where Human Resource Management (HRM) plays a pivotal role in optimizing workforce performance and ensuring operational efficiency. However, HRM decision-making processes are often confronted with multifaceted challenges that encompass various criteria and encompass both objective and subjective factors. To tackle this complexity, a novel and adaptive approach is needed. In this study, we employ a Fuzzy Logic Approach to analyze the criteria influencing decision-making processes in HRM within the aviation sector, aiming to provide a comprehensive and flexible decision-support system for HRM practitioners and contribute to the sector's overall performance and success. The contribution of this study lies in its innovative application of Fuzzy Logic to HRM decision-making in the aviation sector. By capturing the inherent uncertainties and vagueness that HRM practitioners encounter, the proposed Fuzzy Logic-based model offers a more robust and context-sensitive decision-support system. The insights derived from this research are expected to enhance the strategic management of human resources, leading to optimized workforce utilization, increased employee satisfaction, and improved organizational performance in the aviation industry.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87739199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Psychological Impact on Chinese Pilot Students During the Pandemic – The Lesson Learned","authors":"Chien-tsung Lu, Ming Cheng, Xinyu Lu, Haoruo Fu","doi":"10.30518/jav.1324918","DOIUrl":"https://doi.org/10.30518/jav.1324918","url":null,"abstract":"This study was intrigued by routine onsite observation among pilot students who were concerned about the market downturn during the pandemic and career uncertainty in the post-pandemic time. The purpose of this study was to discover how COVID-19 affected pilot students and how they reacted and were accustomed to the pandemic regulations. Human Factors, psychological issues, and the status of safety culture were also surveyed. Purposive sampling was used to select two Chinese Civil Aviation Regulation (CCAR) Part 141 flight schools to participate in an online survey. The Cronbach’s alpha, and Spearman’s Correlation Coefficient were calculated. While emerging Human Factors and psychological issues were discovered, the flight school’s safety culture remained strong. Simultaneously, the result of this study provides a reference for stakeholders at flight training institutes for coping with future similar crises.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83061648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comprehensive Analysis of Society's Perspective on Urban Air Mobility","authors":"Ertan Çinar, Arif Tuncal","doi":"10.30518/jav.1324997","DOIUrl":"https://doi.org/10.30518/jav.1324997","url":null,"abstract":"Ulaşım için ilk teknolojik gelişme olmasa da Urban Air Mobility (UAM), elektrikli dikey iniş kalkan yapan hava araçları ve insansız hava araçlarının kullanımıyla yoğun kent içi ulaşımda farklı bir boyutta çözüm imkânı sunan yenilikçi bir kavramdır. Bu çalışmada UAM kavramına yönelik fayda ve zorluklar analiz edilerek toplumun bu yenilikçi kavrama bakışı anlaşılmaya çalışılmıştır. Çalışma kapsamında Türkiye'nin en yüksek nüfus yoğunluğuna sahip illeri olan Ankara ve İstanbul şehirlerinde yaşayan 518 kişiye çevrimiçi bir anket uygulanmıştır. Yapılan analiz sonuçlarında toplum tarafından sistemin faydalı bulunduğu, özellikle acil durumlarda kent içinde kullanımının genel bir kabul aldığı, ancak mevcut hava sahasına entegrasyon konusunda zorlukların ciddi düzeyde görüldüğü anlaşılmıştır. Bununla beraber cinsiyet ve toplu ulaşım kullanım sıklığı değişkenine bağlı olarak fayda düzeyinde, yaş değişkenine bağlı olarak zorluk düzeylerinde farklılıkların olduğu tespit edilmiştir. Ayrıca bilgi düzeyi, tutum ve kullanım isteğine bağlı da UAM kavramına ilişkin toplumda farklılıkların olduğu görülmüştür.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73997148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric Analysis of Academic Publications on Artificial Intelligence and Aviation Keywords with VOSviewer","authors":"Taha Utkan Uslu, Birsen Açikel","doi":"10.30518/jav.1293740","DOIUrl":"https://doi.org/10.30518/jav.1293740","url":null,"abstract":"This study seeks to show the distribution of academic studies relating to the keywords “artificial intelligence” and “aviation” by years, by authors, by countries, and by organizations using bibliometric data of scientific publications indexed in the Web of Science database between 2005-2023. In this direction, a total of 215 publications were analyzed and categorized in terms of bibliometric indicators by doing an online search on the Web of Science, and VOSviewer, a bibliometric analysis technique was used. As a result of the bibliometric analysis of 215 articles published with the keywords “artificial intelligence” and “aviation” between 2005 and 2023, it has been observed that significant developments have been recorded after 2014 and that the most broadcasts were made in 2022. In order to obtain healthier results and to avoid information pollution, some limitations were introduced to the analysis, such as \"minimum number of publications\" and \"minimum number of citations\". “People's Republic of China” is the country with the highest number of publications, with 98 articles in compliance with at least 6 publication conditions. The organization that published at least 4 articles with the keywords “artificial intelligence” and “aviation” became \"Chinese Civil Aviation University\" with 12 publications. The authors who have at least 4 publications in the articles made with the keywords “artificial intelligence” and “aviation” are \"Pietro Aricò, Gianluca Borghini and Gianluca Di Flumeri\" who have 10 publications.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"324 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77580799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Meteorology Data on Crew Resource Management in Aviation","authors":"Altuğ Aykan Bayazitoğlu, Habibe Güngör","doi":"10.30518/jav.1290226","DOIUrl":"https://doi.org/10.30518/jav.1290226","url":null,"abstract":"The need to be in touch with ground control units is important due to the unexpected and quickly evolving complex structures of meteorological data in the aviation industry, which must be adhered to at all times during the flight. One of the key elements influencing how effectively airlines fly is the impact of meteorology on aircraft. Risks associated with meteorology must be continuously assessed and carefully managed by the flight crew in order to ensure the safety of flights. The goal of crew resource management, on the other hand, is to ensure safe flight operations in the field of international aviation. Pilots have been put through rigorous training to see if different crew resource management tools are adequate to improve flight efficiency in adverse weather conditions caused by meteorology. \u0000The goal of this study is to examine the favourable and unfavourable effects of meteorological events on crew resource management in recent aviation operations. The face-to-face interview technique, one of the qualitative research methods, was used and data were collected in the light of the information obtained from the pilot pool of 50 people. In the study, the opinions of the teams on what kind of flight management and data analysis application they carried out were taken, accompanied by questions directed through meteorology, flight safety and crew resource management factors. The collected data were analysed by content analysis method. As a result of the analysis, it was concluded that theoretical knowledge on stress management and a good analysis of meteorology are of vital importance. It has been evaluated that accidents and incidents that occur indirectly in aviation in meteorology can be completely prevented, and by drawing attention to the importance of the team resource management factor, it has been concluded that they can be prevented by working together with advanced meteorology systems and an up-to-date training. \u0000 \u0000Havacılık sektöründe meteoroloji verilerinin öngörülemeyen ve ani gelişen etkili karmaşık yapıları neticesinde, uçuş sırasında her daim takip edilmesi gereken ve yer kontrol birimleriyle kontrollü olarak iletişim halinde kalınması gereklidir. Meteorolojinin hava araçları üzerinde meydana gelmekte olan etkileri, havayollarının uçuş verimliliğini etkileyen başlıca faktörlerden biri olmaktadır. Uçuş emniyeti hususunda, meteoroloji kaynaklı risklerin uçuş mürettebatı tarafından süreklilik gerektiren analiz ve dikkatli bir yönetim yapılması gerekmektedir. Ekip kaynak yönetiminin amacı ise uluslararası havacılık alanında emniyetli uçuş operasyonlarını sağlamaktır. Pilotlar, meteorolojinin neden olduğu olumsuz hava koşullarında uçuş verimliliğini artırmak için farklı mürettebat kaynak yönetimi araçlarının yeterli olup olmadığını görmek için sıkı bir eğitimden geçirilmektedir. Bu çalışmanın amacı, son zamanlardaki havacılık operasyonlarında meteorolojik olayların ekip kaynak yönetimi üzerindeki olumlu ve ol","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74708129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of the Effect of the Instrument Landing System on Flights to Konya Airport between 2019-2022 Years","authors":"Ersin Öktemer, Fatih Alpaslan Kazan","doi":"10.30518/jav.1282908","DOIUrl":"https://doi.org/10.30518/jav.1282908","url":null,"abstract":"The Instrument Landing System (ILS) is the most widely used navigation aid system among the precision approach types, which enables the pilots to approach the runway in the appropriate direction and glide slope, especially in foggy and snowy weather when the visibility is very low. This study investigated the relationship between flight disruptions and ILS in Konya Airport. In this context, meteorological events such as snow, ice, fog, and cancellation, divert and delay events caused by humans (company policy) at Konya Airport in the period of 2019-2022 were revealed with numerical data. In light of these data, it has been revealed that ILS not only provides safe flights but also prevents possible passenger complaints and financial losses by reducing the number of diverts, and therefore ILS is also of great importance in terms of customer satisfaction.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"669 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79040656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the Sintering Behavior and its effect on the thermal conductivity of YSZ Coatings for Gas Turbine Applications","authors":"G. Erdogan","doi":"10.30518/jav.1312453","DOIUrl":"https://doi.org/10.30518/jav.1312453","url":null,"abstract":"Thermal barrier coatings are essential coatings to protect the combustion chamber liner material from harsh environments in modern gas turbines that are used in aerospace and land-based power generation facilities. As there are several different materials to produce thermal barrier coatings, the conventional thermal barrier coating is yttria stabilized zirconia (YSZ). The most common method to manufacture YSZ coating is plasma spraying method due to its flexibility and rapid production capacity. Using plasma spraying, often requires understanding the process parameters effect on the coating structure. As there are many parameters to control coating process the main outcome of all parameters is the particle temperature and velocity during the spraying process hence the coating properties such as hardness, porosity ratio and deposition rates. Furthermore not only produced microstructure but also during the service conditions sintering behaviour also be considered. Sintering behaviour of thermal barrier coatings results declining of their thermal insulation properties. Therefore, in this study we have evaluated sintering effect of on the thermal conductivity of the plasma sprayed yttria stabilized zirconia coatings. To achieve this objective, we produced free-standing coatings and subjected them to heat treatment, followed by measurements of their thermal conductivities. The results of this study will contribute to a better understanding of the sintering behaviour and its impact on the thermal performance of thermal barrier coatings","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86947227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Air-traffic Flow Prediction with Deep Learning: A Case Study for Diyarbakır Airport","authors":"Ö. Dursun","doi":"10.30518/jav.1307741","DOIUrl":"https://doi.org/10.30518/jav.1307741","url":null,"abstract":"Aviation industry develops rapidly. So the continuous growth of the aviation, accurate predictions play a crucial role in managing air traffic and optimizing airport operations. The prediction process involves various factors such as weather conditions, airport traffic, flight schedules, and historical data. Advanced techniques like machine learning contribute to enhancing the accuracy of predictions. In this context, air traffic data belonging to Diyarbakır province were utilized to predict the number of arrival aircraft to the airport using both traditional Autoregressive (AR) model and deep learning architecture, specifically the stacked Long Short-Term Memory (LSTM) model. The results indicate that the stacked LSTM model outperformed the AR model in terms of air traffic estimation. The AR model had a quite poorly MSE value of 48043.35 and an RMSE value of 219.18, while the stacked LSTM model achieved a significantly higher MSE value of 0.03 and an RMSE value of 0.17. The lower MSE values obtained by the stacked LSTM model indicate its ability to make more accurate predictions compared to the AR model. The stacked LSTM model's predictions were closer to the actual values, resulting in a more realistic estimation of air traffic. Accurate predictions enable efficient resource management, passenger planning, and airport security measures. Continuous efforts in predicting aircraft landings are necessary for the effective functioning of the aviation industry. In this study highlights the importance of predicting the number of aircraft landings at airports.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"105 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80618163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}