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In recent years, in parallel with the increasing air traffic and the number of passengers in air transport, the number of people exposed to aircraft-induced noise has increased significantly. Especially people living in the areas close to the airports are affected by noise emission during the landing, take-off, taxi and ground operations. Negative effects of noise such as sleep disturbance, lack of concentration, anxiety and high blood pressure cardiac diseases were determined directly or indirectly for human health. For this reason, examining the noise effect caused by aircraft and determining the necessary measures to be taken is very important for the sustainable development of aviation. In the International Eskisehir Hasan Polatkan Airport (LTBY), this paper aims to calculate a noise mapping following international standards in line with the directives of the International Civil Aviation Organization (ICAO). Also, Annex 8, “Airworthiness of Aircrafts” and Annex 16, “Environmental Protection Volume 1 Aircraft Noise”, which were taken at the International Civil Aviation Convention, were proposed to determine the exposure caused by aircraft noise.

In this paper, noise levels for the day (07.00–19.00), evening (19.00–23.00) and night (23.00–07.00) period around LTBY were predicted and calculated by the use of the IMMI software according to the “ECAC Doc. 29-Interim” method for the prediction and computation of the aircraft noise.

According to the calculated/mapped values, in the 24 hours (Lden), the noise level is 65 dB (A) and above. In the day time zone, the noise level is 63 dB (A) and above. When the calculations for the evening time zone are examined, the noise level is above 58 dB (A). When the calculations for the night time frame are examined, it is calculated that there is no dwelling that is affected by the noise level above 53 dB (A).

Along with future improvements, it is recommended to be applied to other civil airports.

To the best of the authors’ knowledge, there is no previous research in the literature on aircraft noise mapping of LTBY. Also, unlike the software commonly used in other works in the literature, IMMI software was used in this study. Such investigations should be carried out in other civil airports in the coming years to struggle with noise emissions and noise control. If noise boundary values are exceeded, action plans should be developed for a sustainable aviation concept. Along with future improvements, it is recommended to be applied to other civil airports.

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.

Research carried out within the scope of the present new emerging optimum market to Greek regional airlines. This study (based on interconnected flight network) aims to provide an optimal alternative for flights to be carried out by small Greek airlines to Eskisehir Airport in Turkey. The airlines seek to sustainable demand base to improve themselves in a profitable way.

In this study, the analytical network process method was used. In the construction of network models, specific criteria have been considered, and the analysis has been accomplished as multi-criteria decision-making problem because of the relationship and interaction between them. A number of professionals with high knowledge of the Greek and Turkish aviation market were participated in the study.

Both Greek and Turkish experts think that the scenarios should include more airports (multi leg flights) to benefit from the increased traffic from all these destinations. Although, the model showed that more sustainable and effective routes are the simplest ones (single leg flights). Thus, the experts suggested the following five routes: Athens (ATH)-Antalya (AYT)-Eskisehir (AOE)-ATH; Heraklion (HER)-AOE-ATH; ATH-Istanbul (IST)-AOE-Thessaloniki (SKG); ATH-AOE-Cologne (CGN)-ATH and ATH-AOE-Izmir (ADB)-CGN-ATH. In addition, the experts pointed out the routes Eskisehir (AOE)-Brussel (BRU) and AOE-Cologne (CGN), as the passenger demand for them is high. These are considerable suggestions and should be examined by airlines’ managers, while aviation authorities should take these under consideration.

There are some factors that limit the potential extension of the small Greek regional airlines to Eskisehir airport. Istanbul’s Atatürk International Airport is the most used airport for international connected flight in Turkey, and the most airlines prefer this as a destination airport, although it has slots limitations and intense traffic. According to a previous project, sustainable flight network may include Istanbul and Izmir. Also, the bilateral agreement between Greece and Turkey according to Memorandum of Understanding between the Aeronautical Authorities of the Republic of Turkey and Hellenic Republic consists the main limitation of the traffic increase.

Connected flight network model suggestions developed in this research may provide contribution to airlines’ research and development activities. Also this kind of studies may contribute to the increase of the passengers’ traffic between the two countries with mutual benefits.

Based on the current study, with determined the grid network flights, new flights can be scheduled that are offering significant benefits. Also passengers will have the ability to travel to an attractive destination. In particular, the study may positively contribute to the further development of AOE and to the region around the city. On the other side, the Greek regional airlines can find an important market. Anadolu University’s entrepreneurship ability will be improved and also AOE’s business will be increased. This study will enforce the stronger links between both Greek [Hellenic (Greek) Civil Aviation Authority] and Turkish (General Directorate of Civil Aviation) aviation authorities. In addition, this study may contribute to the improvement of the economic relations between Greece and Turkey with mutual benefits.

It is thought that this research shows Greek and Turkish airports feasibility to cooperate providing benefits to passengers, airlines and the countries’ economies. The study includes current social, economic and cultural dynamics of the countries making significant contribution to academic literature. The capacity and demand analysis is useful for the management of the specific Greek carriers. Expert opinions are consulted over the course of taking strategic decisions. The analysis has been conducted, based on expert opinions and referred to for these pairwise comparisons. Airlines and airport managers based on the suggested methodology may examine potential flights, although more numerical data are necessary.

The purpose of this study is to describe precisely the wind speed regime and characteristics of a runway of an International Airport, the north-western part of Turkey.

Three different probability distributions, namely, Inverse Gaussian (IG), widely used two-parameter Weibull and Rayleigh distributions in the literature, are used to represent wind regime and characteristics of the runway. The parameters of each distribution are estimated by the pattern search (PS)-based heuristic algorithm. The results are compared with the other three methods-based numerical computation, including maximum-likelihood method, moment method (MoM) and power density method, respectively. To evaluate the fitting performance of the proposed method, several statistical goodness tests including the mostly used root mean square error (RMSE) and chi-squared (X²) are conducted.

In the light of the statistical goodness tests, the results of the IG-based PS attain better performance than the classical Weibull and Rayleigh functions. Both the RMSE and X² values achieved by the IG-based PS method lower than that of Weibull and Rayleigh distributions. It exhibits a better fitting performance with 0.0074 for RMSE and 0.58 × 10⁻⁴ for X² for probability density function (PDF) in 2012 and with RMSE of 0.0084 and X² of 0.74 × 10⁻⁴ for PDF in 2013. As regard the cumulative density function of the measured wind data, the best results are found to be Weibull-based PS with RMSE of 0.0175 and X² of 3.25 × 10⁻⁴ in 2012. However, Weibull-based MoM shows more excellent ability in 2013, with RMSE of 0.0166 and X² of 2.94 × 10⁻⁴. Consequently, it is considered that the results of this study confirm that IG-based PS with the lowest error value can a good choice to model more accurately and characterize the wind speed profile of the airport.

This paper presents a realistic point of view regarding the wind regime and characteristics of an airport. This study may cast the light on researchers, policymakers, policy analysts and airport designers intending to investigate the wind profile of a runway at the airport in the world and also provide a significant pathway on how to determine the wind distribution of the runway.

Instead of the well-known Weibull distribution for the representing of wind distribution in the literature, in this paper, IG distribution is used. Furthermore, the suitability of IG to represent the wind distribution is validated when compared with two-parameter Weibull and Rayleigh distributions. Besides, the performance and efficiency of PS have been evaluated by comparing it with other methods.

This study aims to develop an inclusive, multidisciplinary, flexible and organizationally adaptable safety risk management framework, including diversity management, that will be implemented to ensure safety is and remains at the desired level. If the number of incidents and potential incidents that could lead to accidents and their impact rates are to be reduced operationally and administratively, aviation safety risks and sources of risk must be better understood, sources of risk identified, and the safety risk management framework designed in an organization-specific and organization-wide sustainable way. At this point, it is necessary to draw the conceptual framework well and to define the boundaries of the concepts well. In this study, a framework model that can be adapted to the organization is proposed to optimize the management of risks and provide both efficient and effective resource allocation and organizational structure design in its operations and management functions.

The qualitative research method – triple techniques – was deemed appropriate for this study, which aims to identify, examine, interpret and develop the situations of safety management models. In this context, document analysis, business process modeling technique and Delphi techniques from qualitative research methods were used via integration as the methodology of this research.

To manage dynamic civil aviation management activities and business processes effectively and efficiently, the risk management process is the building block of the “Proposed Process Model” that supports the decision-making processes of aviation organizations and managers. This “Framework Conceptual Model” building block also helps build capacity and resilience by enabling continuous development, organizational learning, and flexible structuring.

This research is limited to air transportation and aviation safety management issues. This research is limited specifically to a safety-based risk management framework for the aviation industry. This research may have social implications as source saving, optimum resource use and capacity building will make a contribution to society and add value besides operational and practical implementation.

This research may contribute to more safe operations and functions in the aviation industry.

Management and academia may gain considerable support from this research to manage their safety risks via a corporate-tailored risk management framework, both improving resilience and developing corporate capacity. With this model presented, decision-makers will have a guiding structure that can optimally manage the main risk types that may be encountered in the safety risk in the fields of suppliers, manufacturers, demand changes, logistics, information management, environmental, legal and regulatory. Existing studies in the literature are generally in the form of algorithms and cannot be used as a decision-making support tool. This model aims to fill the gap in the literature. In addition, added value may be created by applying this model to optimum management safety risks in the real aviation industry and its related sectors.

The purpose of this study is to determine the meteorological events that affect flight training to make the training flight more efficient in a flight training organization (FTO) and to examine the effects of these events on FTO.

Within the scope of this study, the flight training given at Eskisehir Technical University Pilotage Department (ESTU-P) is discussed, and the effect of meteorological events on flight training in this FTO is evaluated.

When the two-year (2019–2020) flight training process of ESTU-P is examined, 45% of the flights planned for 2019, 25% of the flights planned for 2020 and 33% of the total flights in the two-year period could not be realized due to meteorological events. It is determined that this result naturally affects the efficiency of the FTO negatively. Meteorological events such as high temperature, fog and snow are among the main meteorological events that cause flight training to be interrupted.

This study will create a framework for FTOs that have been or will be established.

The purpose of this study is to estimate the nitrogen oxide (NOx), carbon monoxide (CO) and hydrocarbon (HC) emissions and their environmental and economic aspects during the actual landing and take-off operations (LTO) of domestic and international flights at a small-scale airport. In this regard, the aircraft-induced NOx, CO and HC emissions analyses, the global warming potential (GWP) estimations of exhaust emissions and the life cycle assessment (LCA)-based environmental impact (EI) estimations of exhaust emissions, and the eco-cost estimation of exhaust emissions are measured.

Estimations and calculations are performed in parallel with the International Civil Aviation Organisation’s Engine Emission Databank and Intergovernmental Panel on Climate Change approaches. Also, to assess the environmental effect of the pollutants, the GWP and the EI analyses which is based on the LCA approaches are used. Finally, the eco-cost approach has been used to discuss the economic aspects of these emissions.

The total emissions of air pollutants from aircraft are estimated as 601.067 kg/y for HC, 6,074.905 kg/y for CO and 4,156.391 kg/y for NOx at the airport. Also, emissions from international flights account for 79% of emissions from all flights. The Airbus A321 type of aircraft has accounted for more than half of the total HC, CO and NOx emissions. The total amount of emissions from the B738 type of aircraft is estimated as 24%. It is noticed that the taxi phase constitutes 52% of the total HC, CO and NOx emissions. Because of this, it is selected the five different alternative taxi times to observe the effects of pollution role of taxiing time in detail and re-estimated accordingly. According to the re-estimated results with variations in taxiing time, when the taxiing time at the airport is 24 min instead of the original value, this case contributes to a decrease in total LTO emissions of approximately 4%. Also, when the taxiing time is decreased by 2 min, HC, CO and NOx emission amounts decrease by approximately 3.9%, 5.9% and 1.2%, respectively. At this point, the polluting role of taxiing time will be helpful to reduce the aircraft-induced HC, CO and NOx emissions for other larger-scale airports. On the other hand, it is estimated that the GWP of the A321 is 1,066.29 t CO₂e whilst the GWP of B738 is 719.50 t CO₂e. The eco-cost values of the A321, B738, A320 and CL60-type of aircraft are estimated as almost 61,049.42, 41,086.02, 18,417.43 and 6,163.59 Euros, respectively.

With the detailed results of this study, the polluting role of taxiing time on total HC, CO and NOx emissions in a small-scale airport will be helpful to reduce aircraft-induced emissions for other larger-scale airports. Also, in the future, this study and its results will be helpful to create an emission inventory at the airport examined.

In this study, different from some previous studies, air pollutants from aircrafts are evaluated with different aspects such as the EI and eco-cost and GWP. Also, this study will be making a helpful contribution to the literature as it covers the more diversity of the different types of aircrafts in the analyses.

This study aims to bring a new approach to the existing structure of Cessna 172 type Aircraft Maintenance Manuals (AMM), operational safety, suitability for maintenance operations and human factors. The purpose of this study is to maintain maintenance operations more safely and effectively.

This study tried to develop an approach by using focus group interview and individual interview techniques. At all stages of the study, interviews were made and support was received from the maintenance technicians, technical instructors and students from the aviation industry stakeholders.

According to the answers given by the participants, the new approach could have a positive effect on operational safety (98.71%), could have a positive effect on human performance (95.72%) it is understandable (93.16%), it is proper for maintenance operations (88.74%) with high potential to convert into practice (85.92%) and a high potential for future applications (97.06%).

It can be used in aviation organizations that operate AMM Cessna 172 type aircraft, created with the new approach, in maintenance aircraft maintenance enterprises and maintenance training institutions. Thanks to this approach, aircraft maintenance technicians will be able to perform safely and more effective maintenance activities.

Contrary to the technologies used by organizations that host wide-body aircraft in their fleets, it requires less cost and less workload to create, use and update. Low-cost airline organizations and maintenance training institutions will also be able to achieve this approach.