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The purpose of this paper is to identify the key influencing factors of aviation accidents and to predict the aviation accidents caused by the factors.

This paper proposes an improved gray correlation analysis (IGCA) theory to make the relational analysis of aviation accidents and influencing factors and find out the critical causes of aviation accidents. The optimal varying weight combination model (OVW-CM) is constructed based on gradient boosted regression tree (GBRT), extreme gradient boosting (XGBoost) and support vector regression (SVR) to predict aviation accidents due to critical factors.

The global aviation accident data from 1919 to 2020 is selected as the experimental data. The airplane, takeoff/landing and unexpected results are the leading causes of the aviation accidents based on IGCA. Then GBRT, XGBoost, SVR, equal-weight combination model (EQ-CM), variance-covariance combination model (VCW-CM) and OVW-CM are used to predict aviation accidents caused by airplane, takeoff/landing and unexpected results, respectively. The experimental results show that OVW-CM has a better prediction effect, and the prediction accuracy and stability are higher than other models.

Unlike the traditional gray correlation analysis (GCA), IGCA weights the sample by distance analysis to more objectively reflect the degree of influence of different factors on aviation accidents. OVW-CM is built by minimizing the combined prediction error at sample points and assigns different weights to different individual models at different moments, which can make full use of the advantages of each model and has higher prediction accuracy. And the model parameters of GBRT, XGBoost and SVR are optimized by the particle swarm algorithm. The study can guide the analysis and prediction of aviation accidents and provide a scientific basis for aviation safety management.

This study aims to address the need to empirically investigate the luxury customer service experiences of the ultra-high-net-worth individual (UHNWI) segment by conducting and analyzing interviews with 20 clients flying private jets. The results lead to a conceptualization of the UHNW private aviation customer experience.

This study applied a three-step method to explore the meaning and domain of the UHNWI luxury service experience. First, the perception and corresponding attributes of customers’ experiences using private aviation services were examined through 20 in-depth interviews and by using the soft laddering technique. Second, this study coded and, subsequently, purified the data by means of a systematic comparison approach and hierarchical coding. Third, a panel of judges, using the emerging consensus technique, scrutinized and validated the emerging dimensions.

The analysis reveals the customer experience (CX) and motivations differ significantly between business and leisure use, moving from a functional toward an experiential value focus. The findings emphasize the lack of social value for the UHNWI CX and introduce time as a new value dimension.

This study provides multiple contributions to the customer experience, luxury and luxury services literature. This study enhances scholarly understandings of the holistic UHNWI CX in the context of an absolute luxury offering, thus providing a needed conceptualization of an underresearched customer segment, namely, the UHNWI. It delivers insights on the different motivations and experience UHNWI are seeking for according to the context. This study proposes a new luxury value dimension: time.

This study highlights multiple opportunities for UHNWI customer experience improvement. The findings reveal that different clients are looking for different experiences in terms of business versus leisure use. The key drivers and expectations shift from functional (price/availability/flexibility) to experiential factors (comfort/onboard experience/relationship with crew and pilot). Communication, marketing and CX management strategies and tactics need to emphasize this important distinction regarding what drives client behavior in the private aviation setting.

The contribution of this paper is threefold. First, it defines UHNWI characteristics and overall experiences using the unique über-service of private aviation, thus advancing scholarly understanding of both the luxury customer and the luxury customer service experience beyond the proposed traditional drivers of luxury consumption. Second, this study expands the conceptual foundation for the UHNWI “über-luxury” service experience, which, given the importance of the UHNWI segment, is important. Third, this study contributes to theoretical knowledge by extending customer value perception in the luxury context by introducing the luxury value dimension of time. This study concludes with a discussion of its findings’ implications for luxury research and practice, providing a future research agenda with regard to UHNW.

This chapter provides an overview of the current political regulations on aviation’s climate relevant emissions in Europe, Australia, and New Zealand and of the planned regulations in other parts of the world. In a next step, the cost impacts of most of these regulations on air freight will be quantified. This way, the economic impacts of environmental regulations on air freight can be estimated.

The main results indicate that cost impacts on air freight services induced by political measures for the reduction of aviation’s climate relevant emissions turn out to be small. This is true for both local emission charges on nitrous oxide (NO _X ) and hydrocarbon (HC) emissions which are in force at a number of European airports and the European emissions trading scheme for the limitation of CO₂ emissions.

This paper aims to investigate the environmental impact of various pollutant emissions including carbon monoxide (CO), carbon dioxide (CO₂), nitrogen oxide (NO_x) and hydrocarbon (HC) from aircraft exhaust gases during the landing and take-off (LTO) cycles at Eskisehir Hasan Polatkan Airport, Turkey, between 2017 and 2018.

The methodology approach used to calculate the emissions from aircrafts is based on the ICAO databank and the actual data records taken from Presidency of The Republic of Turkey Directorate of Communications (DoC).

The maximum amount of total fuel burnt during the two years is 80.898 and 70.168 tons in 2017 and 2018, respectively, while the average fuel burnt per year from 2017 to 2018 is approximately 369.773 tons. The highest CO, CO₂, NO_x and HC emissions are found to be 248.3 kg in 2017, 261.380 tons, 1.708 tons and 22.15 kg, during the 2018 year, respectively. Average CO, HC, NO_x and CO₂ emissions amount per year are observed to be 1.392 tons, 135 kg, 6.909 tons and 1,143 tons, respectively. Considering the average of total emission amount as an environmental factor, as expected, CO₂ emissions contributed the most to the total emissions while HC emissions contributed the least to the total emissions from the airport.

The study presents the approach in determining the amounts of emissions released into the interannual atmosphere and it explicitly provides researchers and policymakers how to follow emissions from commercial aircraft activities at different airports.

The value of the study lies in the transparent computation of the amounts of pollutants by providing the data directly from the first hand-DoC.

THE examination of aircraft structures by radiographic means is a comparatively recent branch of industrial radiography. Spasmodic examinations of aircraft parts have been practised for a number of years, even as far back as the First World War, but it was not until six or seven years ago, that any form of planned radiography was undertaken.

Boeing has been a pioneer in the utilization of strategic alliances with the Japanese in the design and production of aircraft. This strategy has been driven by the escalating costs of airframe and engine design and manufacture, and the significant competition of Airbus as well as domestic competitors in the global aircraft market. Boeing's alliances with Japan have worked well with several families of aircraft and appear to have produced a loyal customer; however, there have been sharp criticisms of Boeing for the closeness of its association with Japan. These criticisms have largely been aimed at the danger posed by unintentional and unavoidable transfer of aerospace technology. This paper examines the history of Boeing's Japanese coalitions, the benefits, and the dangers posed by Boeing's continued aerospace partnership with one of America's largest economic foes.

Considering both the current opportunities of the Internet of things (IoT) and aviation, as well as the potential opportunities they may offer for the future, it is understood that they are among the important issues that need to be examined in the literature. This study aims to provide an idea by conducting bibliometric and visualization analyses of the current trends and development opportunities of IoT and aviation.

In this study, descriptive and bibliometric analyses within the framework of co-author, co-citation, bibliographic coupling, and keyword co-occurrence analysis were carried out for publications found to be published between 2007 and 2023 in the Web of Science (WoS) database related to IoT and aviation. VOSviewer (ver. 1.6.18) program and the Biblioshiny application were used to create bibliometric networks and provide visualization.

As a result of some descriptive and visualization analyses, the current trend of publications on IoT and aviation and future publication opportunities has been revealed. It has been understood that the subject of IoT and aviation is one of the subjects whose number of publications has increased in recent years and has not yet fully matured in terms of the number of publications and has the potential to make new publications.

In this study, bibliometric analysis of IoT and aviation, which could not be found examined before in the literature, and the creation of existing bibliometric networks by visualizing were carried out.

The purpose of this study is to present the pollutant gas produced by hydrocarbons (HC), carbon monoxide (CO) and nitrogen oxides (NO_x) and the quantity of fuel burned from commercial aircraft at Ordu-Giresun International Airport, Turkey during the landing and take-off (LTO) cycles in 2017.

The flight data recorded by the General Directorate of State Airports Authority and the aircraft engine emission data from International Civil Aviation Organization (ICAO) Engine Exhaust Emission Databank were used for calculation. The aircraft and engine types used by the airlines for flight at Ordu-Giresun International Airport were determined. To evaluate the effect of taxi time on emission amounts, analysis and evaluations were made by taking different taxi times into consideration.

As a result of the emission analysis, the amount of fuel consumed by the aircraft were calculated as 6,551.52 t/y, and the emission amounts for CO, HC and NO_x were estimated as 66.81, 4.20 and 79.97 t/y, respectively.

This study is aimed to reveal the effect and contribution of taxi time on the emitted emission at the airport during the LTO phase of the aircraft.

This study helps aviation authorities explain the importance of developing procedures that ensure the delivery of aircraft to flights in minimum time by raising awareness of the impact of taxi time on emitted emissions, and contributes to the determination of an aircraft emission inventory at Ordu-Giresun International Airport.

Outlines new database products appearing in the Gale Directory of Databases, a two‐volume work published twice a year. Provides figures for the distribution and percentage of new and newly implemeted business and law databases, together with a list of the databases including name, vendor and medium. Briefly discusses these by each medium.