Air transportation is a more advantageous form of transportation compared to other types of transportation. This is because it provides economic growth, place, and time benefits. However, the realization of the economic sustainability of these benefits may become difficult in certain cases. It is possible to express these situations as negative externalities in the theory of public finance. The solution to negative externalities lies in their internalization. Unfair competition is also a negative externality for air transport enterprises. One of the sanctions applied for the internalization of this negative externality is compensation. While material compensation can internalize externalities, moral compensation cannot fully compensate for externalities in a number of cases. Such a situation may constitute a violation of the rule that externalities will not be reflected in market prices. In order to understand whether such a rule violation actually occurred judicial decisions were examined using the comparison method in the study. The conclusion reached in the study is that in a few cases externalities are likely to be reflected in market prices and reveal a violation of a rule related to the theory of public finance. To ensure economic sustainability of air transportation, moral compensation decisions that have the potential not to reflect externalities to market prices must be fully determined.
{"title":"ECONOMIC SUSTAINABILITY OF AIR TRANSPORTATION IN TERMS OF UNFAIR COMPETITION AND NEGATIVE EXTERNALITIES: EVIDENCE FROM TURKISH COMMERCIAL LAW","authors":"Öner GÜMÜŞ, Filiz EKİCİ, Gamze ORHAN","doi":"10.30518/jav.1332849","DOIUrl":"https://doi.org/10.30518/jav.1332849","url":null,"abstract":"Air transportation is a more advantageous form of transportation compared to other types of transportation. This is because it provides economic growth, place, and time benefits. However, the realization of the economic sustainability of these benefits may become difficult in certain cases. It is possible to express these situations as negative externalities in the theory of public finance. The solution to negative externalities lies in their internalization. Unfair competition is also a negative externality for air transport enterprises. One of the sanctions applied for the internalization of this negative externality is compensation. While material compensation can internalize externalities, moral compensation cannot fully compensate for externalities in a number of cases. Such a situation may constitute a violation of the rule that externalities will not be reflected in market prices. In order to understand whether such a rule violation actually occurred judicial decisions were examined using the comparison method in the study. The conclusion reached in the study is that in a few cases externalities are likely to be reflected in market prices and reveal a violation of a rule related to the theory of public finance. To ensure economic sustainability of air transportation, moral compensation decisions that have the potential not to reflect externalities to market prices must be fully determined.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"1 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227098","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}
The demand for the aviation industry has grown as a result of the shift in people's travel preferences brought on by rising wealth and expanding trade in the world and in our nation. Air travel is now preferred due to state assistance, new airports, superior aircraft, and the relative drop in expenses. This study's main focus is on the consumer purchase patterns of two airline companies that operate in the very competitive aviation sector. Depending on whether the airline is a full-service carrier or a low-cost carrier, these variables change. The "Factors Affecting Airline Preferences Scale" was created and distributed to passengers of two airline organizations at Istanbul Sabiha Gökçen Airport (a full-service carrier (FSC) and a low-cost carrier (LCC) operating in Turkey) to assess the extent to which variables like airline reputation, advertising, frequent flyer programs, price, service quality, and digital marketing tools like websites, e-mails, Facebook, Twitter, Instagram, YouTube, and mobile applications have an impact on the process of ticket purchasing decision of passengers. It was shown that the passengers' purchasing decisions were influenced by reputation, service quality, frequent flyer programs, price, digital marketing initiatives, and advertisement. It was shown that depending on whether the airline is a full-service carrier or a low-cost carrier, the impact of these elements differs.
{"title":"Full-service carrier (FSC) vs low-cost carrier (LCC): Purchasing decision-making process of passengers","authors":"Nuran KARAAĞAOĞLU, Şafak GÜNDÜZ","doi":"10.30518/jav.1320304","DOIUrl":"https://doi.org/10.30518/jav.1320304","url":null,"abstract":"The demand for the aviation industry has grown as a result of the shift in people's travel preferences brought on by rising wealth and expanding trade in the world and in our nation. Air travel is now preferred due to state assistance, new airports, superior aircraft, and the relative drop in expenses. This study's main focus is on the consumer purchase patterns of two airline companies that operate in the very competitive aviation sector. Depending on whether the airline is a full-service carrier or a low-cost carrier, these variables change. The \"Factors Affecting Airline Preferences Scale\" was created and distributed to passengers of two airline organizations at Istanbul Sabiha Gökçen Airport (a full-service carrier (FSC) and a low-cost carrier (LCC) operating in Turkey) to assess the extent to which variables like airline reputation, advertising, frequent flyer programs, price, service quality, and digital marketing tools like websites, e-mails, Facebook, Twitter, Instagram, YouTube, and mobile applications have an impact on the process of ticket purchasing decision of passengers. It was shown that the passengers' purchasing decisions were influenced by reputation, service quality, frequent flyer programs, price, digital marketing initiatives, and advertisement. It was shown that depending on whether the airline is a full-service carrier or a low-cost carrier, the impact of these elements differs.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"3 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227245","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}
This study aimed to conduct a bibliometric evaluation of 908 postgraduate theses in civil aviation that were approved, licensed, and published in the National Thesis Centre database. These theses were analysed based on specific parameters, including the year of publication, gender of the authors, universities where they were published, thesis topics, language of writing, number of pages, publication cities, supervisor titles, institutes, departmental affiliations, types of universities, and types of theses. The results revealed that most of these theses were published in 2019, and male researchers outnumbered female researchers. Moreover, many of the theses were written in Turkish and predominantly published at Anadolu University. The title of "assistant professor" was more commonly used in master's theses, while the title of "professor" was more frequently utilized in doctoral theses. Most of the theses were 101-200 pages long and were conducted in Istanbul. Based on the findings, it can be concluded that there were more master's theses than doctoral theses, with a predominant research focus on business management.
{"title":"Bibliometric Analysis of Postgraduate Theses on Civil Aviation","authors":"Volkan MAZIOĞLU, Engin KANBUR","doi":"10.30518/jav.1318603","DOIUrl":"https://doi.org/10.30518/jav.1318603","url":null,"abstract":"This study aimed to conduct a bibliometric evaluation of 908 postgraduate theses in civil aviation that were approved, licensed, and published in the National Thesis Centre database. These theses were analysed based on specific parameters, including the year of publication, gender of the authors, universities where they were published, thesis topics, language of writing, number of pages, publication cities, supervisor titles, institutes, departmental affiliations, types of universities, and types of theses. The results revealed that most of these theses were published in 2019, and male researchers outnumbered female researchers. Moreover, many of the theses were written in Turkish and predominantly published at Anadolu University. The title of \"assistant professor\" was more commonly used in master's theses, while the title of \"professor\" was more frequently utilized in doctoral theses. Most of the theses were 101-200 pages long and were conducted in Istanbul. Based on the findings, it can be concluded that there were more master's theses than doctoral theses, with a predominant research focus on business management.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"3 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":"136227247","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}
Precise control of aircraft flight control surfaces by the pilot is critical to flight safety. The joystick and control surface positions must be detected accurately and quickly, and the motion mechanism must be operated in such a way as to ensure synchronization between them. The analogue voltage value taken from the potentiometer, which is used as a position sensor in many small aircraft, can be used directly or by converting to digital.
In this applied study, the analogue position knowledge received from the potentiometer on the joystick was converted into a PWM signal with an oscillator circuit. The PWM position signal applied to the IR (InfraRed) LED in the transmitter unit is sent as infrared light. The PWM position knowledge detected by the photodiode in the receiver unit was passed through the LPF (Low Pass Filter) and the voltage value of the joystick potentiometer was obtained again. With the mechanism controlled according to the difference between the potentiometer values of the joystick and the control surface, the synchronization between the joystick and the control surface is ensured. In this study, a wireless and stable servomechanism connection is obtained by transmitting PWM position knowledge as IR.
{"title":"PWM Controlled Servomechanism","authors":"Mehmet Ali SOYTÜRK","doi":"10.30518/jav.1351782","DOIUrl":"https://doi.org/10.30518/jav.1351782","url":null,"abstract":"Precise control of aircraft flight control surfaces by the pilot is critical to flight safety. The joystick and control surface positions must be detected accurately and quickly, and the motion mechanism must be operated in such a way as to ensure synchronization between them. The analogue voltage value taken from the potentiometer, which is used as a position sensor in many small aircraft, can be used directly or by converting to digital. 
 In this applied study, the analogue position knowledge received from the potentiometer on the joystick was converted into a PWM signal with an oscillator circuit. The PWM position signal applied to the IR (InfraRed) LED in the transmitter unit is sent as infrared light. The PWM position knowledge detected by the photodiode in the receiver unit was passed through the LPF (Low Pass Filter) and the voltage value of the joystick potentiometer was obtained again. With the mechanism controlled according to the difference between the potentiometer values of the joystick and the control surface, the synchronization between the joystick and the control surface is ensured. In this study, a wireless and stable servomechanism connection is obtained by transmitting PWM position knowledge as IR.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"2 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227096","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}
The purpose of this study is to make a unit root analysis of the stock return time series of 18 air carrier companies due to alliance membership in this paper because of the importance of the unit roots in the detection of time-related matters. Five important unit root tests, which can be classified as Fourier or classical utilized. According to the findings, there is no unit root in the stock return series regardless of airline alliances but there are differences on a regional basis depending on the test and test power, specific Asian airlines stocks’ return series show linearity. These results will shed more light on the efficient market hypothesis on aviation management in the next research.
{"title":"UNIT ROOT TESTS OF AIRLINE’S STOCK RETURNS CONSIDERING ALLIANCES","authors":"Olcay ÖLÇEN","doi":"10.30518/jav.1345665","DOIUrl":"https://doi.org/10.30518/jav.1345665","url":null,"abstract":"The purpose of this study is to make a unit root analysis of the stock return time series of 18 air carrier companies due to alliance membership in this paper because of the importance of the unit roots in the detection of time-related matters. Five important unit root tests, which can be classified as Fourier or classical utilized. According to the findings, there is no unit root in the stock return series regardless of airline alliances but there are differences on a regional basis depending on the test and test power, specific Asian airlines stocks’ return series show linearity. These results will shed more light on the efficient market hypothesis on aviation management in the next research.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"1 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227103","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}
As air travel has become a crucial part of modern life, concerns about its environmental impact, economic sustainability, and social responsibility have significantly grown. Sustainability in this context refers to the delicate balance between current needs and future aspirations, taking into consideration environmental, economic, and social factors. The aviation industry is a substantial contributor to worldwide carbon emissions, and its ongoing growth poses a threat to exacerbate climate change. But it also has a crucial role in promoting economic growth and global connectivity. Achieving a balance between these competing interests necessitates a collaborative approach involving governments, industry stakeholders, academia and the general public. The sustainability viewpoint in the aviation sector, as well as the research carried out in this field, is of great significance in advancing the sector. The objective of this research is to identify and analyze publications regarding sustainability in the aviation sector within the SSCI and SCI-Exp databases. Suggestions for future research are proposed. The study includes a bibliometric analysis of 123 scientific articles published between 2001 and 2023. The findings reveal significant trends, influential authors and leading institutions in aviation sustainability research whilst also identifying gaps in the literature. Keyword analysis revealed recurring themes such as energy efficiency, emissions reduction, and life cycle assessment. These findings highlight the aviation industry's increasing dedication to sustainability and the necessity for further research and practical measures to ensure a more environmentally sustainable future for civil aviation.
{"title":"Bibliometric Analysis of Sustainability in Civil Aviation","authors":"Salih AYGÜN, Murat SAĞBAŞ, Fahri Alp ERDOĞAN","doi":"10.30518/jav.1358871","DOIUrl":"https://doi.org/10.30518/jav.1358871","url":null,"abstract":"As air travel has become a crucial part of modern life, concerns about its environmental impact, economic sustainability, and social responsibility have significantly grown. Sustainability in this context refers to the delicate balance between current needs and future aspirations, taking into consideration environmental, economic, and social factors. The aviation industry is a substantial contributor to worldwide carbon emissions, and its ongoing growth poses a threat to exacerbate climate change. But it also has a crucial role in promoting economic growth and global connectivity. Achieving a balance between these competing interests necessitates a collaborative approach involving governments, industry stakeholders, academia and the general public. The sustainability viewpoint in the aviation sector, as well as the research carried out in this field, is of great significance in advancing the sector. The objective of this research is to identify and analyze publications regarding sustainability in the aviation sector within the SSCI and SCI-Exp databases. Suggestions for future research are proposed. The study includes a bibliometric analysis of 123 scientific articles published between 2001 and 2023. The findings reveal significant trends, influential authors and leading institutions in aviation sustainability research whilst also identifying gaps in the literature. Keyword analysis revealed recurring themes such as energy efficiency, emissions reduction, and life cycle assessment. These findings highlight the aviation industry's increasing dedication to sustainability and the necessity for further research and practical measures to ensure a more environmentally sustainable future for civil aviation.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"1 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227100","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}
The objective of this study is to identify the macroeconomic factors that influence the risk of financial failure in the aviation industry. Within the parameters of the study, a sample of 11irline firms operating between 2009 and 2019 was analyzed to determine the factors influencing the likelihood of financial failure. The cost of fuel, interest rates, inflation rates, and currency rates were utilized as macroeconomic variables that could have an impact on airline enterprises' ability to meet ends. Financial data and macroeconomic data of the airline companies in the sample were obtained from Thomson Reuters Eikon Datastream. The methodology of the study consists of 2 stages. In the first stage, Altman Z'' Score method is used. Then, panel data analysis method is preferred to reveal the relationship between financial failure and macroeconomic factors. According to the findings of the random effects panel data study, exchange rates and interest rates have a negative impact on financial failure. The results of the changes in interest and exchange rates suggest that governments and airlines should concentrate on policies that will strengthen the aviation sector’s financial viability. To manage these risks more effectively, financial managers must closely examine the effects of rising macroeconomic risk and the corresponding financial failure effects. Airline managers, private and institutional investors should monitor policy uncertainty, assuming that exchange rate uncertainty is a driving force in financial failure. In addition, airline companies should review their hedging strategies against exchange rate risk.
{"title":"Macroeconomic Determinants of Financial Failure Risk in Airlines","authors":"Abdulkadir ALICI","doi":"10.30518/jav.1349293","DOIUrl":"https://doi.org/10.30518/jav.1349293","url":null,"abstract":"The objective of this study is to identify the macroeconomic factors that influence the risk of financial failure in the aviation industry. Within the parameters of the study, a sample of 11irline firms operating between 2009 and 2019 was analyzed to determine the factors influencing the likelihood of financial failure. The cost of fuel, interest rates, inflation rates, and currency rates were utilized as macroeconomic variables that could have an impact on airline enterprises' ability to meet ends. Financial data and macroeconomic data of the airline companies in the sample were obtained from Thomson Reuters Eikon Datastream. The methodology of the study consists of 2 stages. In the first stage, Altman Z'' Score method is used. Then, panel data analysis method is preferred to reveal the relationship between financial failure and macroeconomic factors. According to the findings of the random effects panel data study, exchange rates and interest rates have a negative impact on financial failure. The results of the changes in interest and exchange rates suggest that governments and airlines should concentrate on policies that will strengthen the aviation sector’s financial viability. To manage these risks more effectively, financial managers must closely examine the effects of rising macroeconomic risk and the corresponding financial failure effects. Airline managers, private and institutional investors should monitor policy uncertainty, assuming that exchange rate uncertainty is a driving force in financial failure. In addition, airline companies should review their hedging strategies against exchange rate risk.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"1 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227104","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}
The purpose of this study is to determine whether the fear of missing out levels of aviation management undergraduate students have an impact on their unemployment anxiety. In this study, explanatory research method was applied. In this direction, a questionnaire was applied to the students of the aviation management department of a foundation university. The sample of the research consists of 137 undergraduate aviation management students. The data obtained as a result of the applied questionnaire were analyzed with the SPSS 25.0 package program. Exploratory factor analysis, independent t-test, one-way ANOVA analysis, pearson correlation analysis and cluster analysis were used in the study. As a result of the analyzes carried out, it was concluded that aviation management students' fear of missing out has an effect on unemployment anxiety.
{"title":"The Impact of Aviation Management Students’ Fear of Missing Out (FoMO) Levels on Unemployment Anxiety","authors":"Onur TAYFUN","doi":"10.30518/jav.1315339","DOIUrl":"https://doi.org/10.30518/jav.1315339","url":null,"abstract":"The purpose of this study is to determine whether the fear of missing out levels of aviation management undergraduate students have an impact on their unemployment anxiety. In this study, explanatory research method was applied. In this direction, a questionnaire was applied to the students of the aviation management department of a foundation university. The sample of the research consists of 137 undergraduate aviation management students. The data obtained as a result of the applied questionnaire were analyzed with the SPSS 25.0 package program. Exploratory factor analysis, independent t-test, one-way ANOVA analysis, pearson correlation analysis and cluster analysis were used in the study. As a result of the analyzes carried out, it was concluded that aviation management students' fear of missing out has an effect on unemployment anxiety.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"3 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227246","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}
This article explores the impact of artificial intelligence (AI) on the aviation and hospitality industries, both of which are rapidly evolving due to technological advancements. It aims to understand the increasing importance of artificial intelligence by examining the various ways in which it is used in these sectors through qualitative research. The research included an analysis of online sources such as airport and hotel websites, booking platforms, and social media accounts of travel-related businesses. This comprehensive data collection provides insight into the various applications of artificial intelligence in tourism. Thematic analysis was then used to categorise the data according to similar uses, providing a detailed understanding of the role of AI in these areas. It compares and examines artificial intelligence applications adopted by aviation and hospitality organisations, evaluating their effectiveness and differences. The study reveals the various ways in which AI is being integrated into these industries and highlights its significant contributions across various dimensions. It also highlights how AI can deliver competitive advantage, improve customer experiences, and introduce innovative paradigms to the aviation and hospitality industries. One important aspect of the research is its ability to provide a deeper understanding of emerging AI trends in these sectors and lay a strong foundation for future research. Ultimately, this study provides valuable insight to stakeholders in aviation and hospitality, equipping them with an informed perspective on leveraging AI for growth and long-term sustainability in their respective industries
{"title":"Customised Holiday Experiences through Artificial Intelligence: Case Studies from the Aviation and Hospitality Sectors","authors":"Cemil GÜNDÜZ","doi":"10.30518/jav.1351472","DOIUrl":"https://doi.org/10.30518/jav.1351472","url":null,"abstract":"This article explores the impact of artificial intelligence (AI) on the aviation and hospitality industries, both of which are rapidly evolving due to technological advancements. It aims to understand the increasing importance of artificial intelligence by examining the various ways in which it is used in these sectors through qualitative research. The research included an analysis of online sources such as airport and hotel websites, booking platforms, and social media accounts of travel-related businesses. This comprehensive data collection provides insight into the various applications of artificial intelligence in tourism. Thematic analysis was then used to categorise the data according to similar uses, providing a detailed understanding of the role of AI in these areas. It compares and examines artificial intelligence applications adopted by aviation and hospitality organisations, evaluating their effectiveness and differences. The study reveals the various ways in which AI is being integrated into these industries and highlights its significant contributions across various dimensions. It also highlights how AI can deliver competitive advantage, improve customer experiences, and introduce innovative paradigms to the aviation and hospitality industries. One important aspect of the research is its ability to provide a deeper understanding of emerging AI trends in these sectors and lay a strong foundation for future research. Ultimately, this study provides valuable insight to stakeholders in aviation and hospitality, equipping them with an informed perspective on leveraging AI for growth and long-term sustainability in their respective industries","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"3 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227248","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}
Web search queries become essential drivers to forecast air passenger demand for operational benefits. Scholars and marketing experts. Forecasting passenger demand is one of the most important marketing problems that experts frequently encounter, but there are very few studies in the literature using search queries. The main novelty of this study is to show that Destination Insight (DI) can be useful as an air passenger demand proxy in the UK. To prove this primary objective, this work uses several machine and deep learning multi-layer perceptron (MLP) methods based on a big-data framework. The findings indicate that DI is a crucial predictor of the UK air passenger demand. Besides, popular error metrics (RMSE, MAPE, MAD and AIC) were compared to find the best model in this study. Specifically, results indicate that MLP following feed forward neural networks works better for the UK air passenger market.
{"title":"Machine vs. Deep Learning for the UK air passenger short-term demand forecasting: A Destination Insight approach","authors":"Bahri Baran KOÇAK","doi":"10.30518/jav.1351229","DOIUrl":"https://doi.org/10.30518/jav.1351229","url":null,"abstract":"Web search queries become essential drivers to forecast air passenger demand for operational benefits. Scholars and marketing experts. Forecasting passenger demand is one of the most important marketing problems that experts frequently encounter, but there are very few studies in the literature using search queries. The main novelty of this study is to show that Destination Insight (DI) can be useful as an air passenger demand proxy in the UK. To prove this primary objective, this work uses several machine and deep learning multi-layer perceptron (MLP) methods based on a big-data framework. The findings indicate that DI is a crucial predictor of the UK air passenger demand. Besides, popular error metrics (RMSE, MAPE, MAD and AIC) were compared to find the best model in this study. Specifically, results indicate that MLP following feed forward neural networks works better for the UK air passenger market.","PeriodicalId":86256,"journal":{"name":"The Journal of aviation medicine","volume":"2 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136227257","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}
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