Airports In Turkey Research Articles

Airports in Turkey: efficiency limits and the role of technological change

PurposeThis paper aims to present an example of the measurement of airport efficiency, a topic of great interest in civil aviation today. The methodology used is data envelopment analysis (DEA) and the Malmquist Index. The calculation of airport efficiency with up-to-date data for each period is of great importance in the context of sustainability. The study selected ten airports with high air traffic in Turkey as the sample set. The objective of this study is to evaluate the current state of airport efficiency, identify the sources of inefficiency and make appropriate policy recommendations based on the findings obtained.Design/methodology/approachThe study is based on DEA and Malmquist Index Analysis. The number of personnel and terminal size data of ten selected decision-making units (DMU) are used as inputs, while passenger, cargo and aircraft traffic data are used as outputs. A five-year period, spanning from 2018 to 2022, is considered as the data set in the study.FindingsUpon analysis of the data from the ten airports included in the study, it was found that the current input-output combination yielded efficient results, with the exception of certain characteristics, such as the impact of seasonal conditions or tourism. Concurrent with the growth in aircraft, passenger and freight traffic, the number of personnel employed at these airports has also increased. It was concluded that technological efficiency is of paramount importance for each airport, and that investments in technology should be increased.Practical implicationsA separate assessment was conducted for each of the ten airports included in the study sample. Each airport was evaluated in terms of its strengths and weaknesses, and areas of low efficiency were identified. Consequently, more general conclusions were reached than airport-specific evaluations.Originality/valueIn order to ensure the long-term sustainability of the sector, it is essential that the efficiency measurements of airports are calculated using up-to-date data on a regular basis. The results obtained from these calculations provide guidance for the strategic plans to be implemented in the long term, as well as for the solution proposals for operational problems. In this context, this study not only provides information to policymakers and airport managers about the current situation, as it includes recent data, but also contributes to the literature in this sense, as it includes policy recommendations.

The Mediation Role of Impression Management in The Effect of Job Security Perception on Task Performance: A Study on Airport Employees

This study aims to reveal the relationship between the job security perceptions and task performances of airport employees and whether impression management has a mediating role in this relationship. The sample of the study consists of employees working at airports in Turkey. The data of the research were collected by online survey method using convenience sampling method between 5-17 October 2022. The IBM SPSS 25 and AMOS 24 statistical programs were used to analyze the data from 278 employees using structural equation modeling methods. According to the results of the analysis, it was determined that the perception of job security had a positive effect on job performance and a negative effect on impression management tactics. According to another important result of the research, there was a negative relationship between impression management and task performance. Finally, impression management did not mediate the relationship between job security perception and task performance.

An investigation of the effects of sand and dust storms in the North East Sahara Desert on Turkish airports and PM10 values: 7 and 8 April, 2013 events.

Between April 7 and April 10, 2013, a cyclone with a value of 995hPa that developed in the central Mediterranean transported dust from the Sahara Desert towards Turkey. At 13 airports in Turkey, dust haze and widespread dust were seen during different occasions in this period and caused the observation of so-called "Blowing dust events." This cyclone blew dust towards the Cappadocia airport, and the prevailing visibility decreased to 3800m, making it the lowest value measured during the transition of this cyclone. In this study, Aviation Routine Weather Report (Metar) and Aviation Selected Special Weather Report (Speci) observations of airports in North Africa and Turkey were evaluated for the period between April 3 and April 11, 2013. With this cyclone the prevailing visibility at Benina Airport in Libya decreased to 50m on April 6, 2013. This study aims to evaluate long-distance dust transport's effects on meteorological visibility at airports in Turkey and examine the episodic changes of PM10 values measured by air quality monitoring stations. Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model outputs were used to determine the trajectories of long-distance dust particles. Powder red, green, and blue (RGB) and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images, Cloud-Aerosol LIDAR Infrared Pathfinder Satellite Observations (CALIPSO) images, the Barcelona Supercomputing Center-Dust Regional Atmosphere Model (BSC-DREAM8b) outputs, and Global Forecast System (GFS) synoptic maps were used for analysis. In addition, PM10 values obtained from air quality monitoring stations were examined. According to the data obtained from the CALIPSO images, the dust concentration on the Eastern Mediterranean reaches up to 5km. The episodic values obtained from certain air quality measurement stations are Adana 701, Gaziantep 629, Karaman 900, Nevşehir 1343, and Yozgat 782µg/m3 on an hourly average.

Türkiye'deki Havalimanlarında Yolcu ve Yük Taşımacılığı Faaliyetlerinde Yaşanan İş Kazalarının Durum Analizi

Air transport is of great importance in terms of both passenger and freight transport today. The aviation sector, which is growing and developing day by day, has a large share especially in terms of safety and security, occupational health and safety. This study has been prepared for the analysis of occupational accidents and occupational safety issues for both the sector and the employees, in the processes that are carried out meticulously in order to avoid any possibility of mistakes. Studies carried out at airports in Turkey with the code “51 – Air Freight” are grouped under two basic economic activity classifications in the Social Security Institution (SSI) system as “51/1 – Passenger Transportation by Air” and “51/2 – Freight Transportation by Air”. In the study, the situation of work accidents in these transportation activities at the airports in Turkey was analyzed and compared. With the analysis of the sector's occupational accidents data between the years 2013-2021; the number of workplaces, the number of insured personnel, the number of insured people who had a work accident, the period of temporary disability after work accident, the number of deaths after work accident, the number of employees per workplace, the number of work accidents per insured, the temporary incapacity period per work accident and the after-work accident are calculated. Lost working time was calculated. With the obtained data, the situation of occupational accidents in the sector was examined. According to the analysis of the data within certain periods, the passenger and freight transportation activities at the airports in Turkey were evaluated in terms of occupational health and safety.

Determinants of Market Structure and Demand: A Panel Data Study on Turkish Airports

The aim of this research is to reveal the factors that determine the number of airlines at the airport and the demand for the market. In addition, another objective of the research is to reveal the market structure and the changes in the market structure using concentration measurement tools is another research purpose. The twenty-eight airports in Turkey were examined by panel data analysis between the years 2007-2018. Regarding the market structure in general, decreases have been observed in the concentration values over time. In other words, airports have become more competitive over time. The panel data results show that the number of airlines at airports is strongly influenced by the number of passengers in the relevant market, the city’s GDP, the number of university students, the number of visitors, and the hub airport. On the other hand, it is evident that the number of airline carriers operating in the relevant market, the city’s GDP, its population, the number of university students, the presence of a hub airport, and the number of tourists have a substantial impact on the demand at airports. Results obtained in this research will contribute to the literature by providing new models of market structure and demand. It is thought that the research will guide airline companies and airport managers in terms of predicting demand. Key Words: Airports, Panel Data, Air Travel Demand, Market Structure, Competition. JEL Classification: L11, L93, R41

The Mediating Effect of Organizational Justice Perception on the Relationship between Ethical Leadership and Workplace Deviant Behaviors

The present study examines whether there is a relationship between the ethical leadership (EL), organizational justice perception (OJP), and deviant behaviors (WDB) of customs officers working at international airports in Turkey, and aims to determine whether OJP has a mediating effect on the relationship between EL and WDB. For this purpose, the study was conducted on the 487 customs officers working at 28 airports open to international flights in Turkey. In this study, which was carried out with the quantitative method, the obtained data were analyzed with structural equation modeling (SEM). The results showed that EL had a direct and significant effect on OJP. On the other hand, OJP had a negative direct, and significant effect on deviant workplace behaviors. Moreover, there was no direct and consequential effect of EL on WDB. In addition, EL indirectly affected WDB through OJP, and the OJP had a full mediation effect between these two variables. The findings were interpreted by using social exchange theory. This study develops our understanding of the organization-level antecedents of WDB and mediating role of OJP as the social mechanism of EL. In the Conclusion section of the study, some theoretical conclusions are discussed, and recommendations are offered for customs managers.

Assessing the efficiency of airports by considering health and safety issues: A pilot study for Turkey

Purpose: Airport management is influenced by several related critical decisions on financial and technical operations. Optimum utilization of resources, including assets and personnel, is critical to achieve better service quality for the passengers and an efficient airport. Due to its importance, this paper aims to assess the performance of airports based on security, safety, and possible work-related health problems by considering the uncertain and unclear number of passengers and their baggage. Design/methodology/approach: The efficiency of 30 airports in Turkey is evaluated with a basic Data Envelopment Analysis (DEA) model with two inputs and five outputs. Then, the model is redefined with an undesired output. High, medium, and low seasons are defined in the second DEA model to estimate the number of passenger baggage. The third model utilizes the principles of Fuzzy DEA (F-DEA) that aims to handle the uncertainty for the undesired output data.Findings: The results of three models confirm that the number and weight of baggage and consequently health and safety issues in airports should not be overlooked when optimizing airport efficiency. Utilizing the fuzzy theory has the potential to help managers to improve the operational efficiency of airports when dealing with an uncertain number of passengers and estimating the workload of baggage handlers.Research limitations/implications: No permission was given to make interviews with the ground handling personnel and gather real-life data to analyze task durations and workers’ body movements.Practical implications: Inputs, outputs, and undesired output defined in this study can be used to assess the airports in any other country.Social implications: The importance of health and safety issues for passengers, airport personnel, baggage handlers, and the residents who live close to the airports is considered.Originality/value: This study contributes to the airport performance assessment literature by considering the uncertain and dynamic data related to health and safety issues. This pioneering study, up-to-best knowledge, is the first to assess the airports in Turkey by DEA with the defined undesired output (baggage handler workload) and also utilizing the fuzzy model for the uncertain data.

The Interactions among Air Freight, GDP, Energy Usage and Ecological Footprint: An Empirical Investigation from Turkey

The major aim of this manuscript is to examine the long-run relationship between air freight, economic growth, energy usage and ecological footprint by employing Multivariate Regression (MR), FMOLS (Fully Modified Ordinary Least Squares), DOLS (Dynamic Ordinary Least Square), CCR (Canonical Co-integrating Regression), and Generalized Method of Moments (GMM) analysis for Turkey from 1970 to 2018 within the sense of EKC hypothesis. According to Multivariate Regression (MR) result of Turkey, air freight, economic growth, and energy usage influence the ecological footprint from 1970 to 2018. Besides, the long-term linkage of variables including air freight, economic growth, energy usage and ecological footprint is indicated through FMOLS, DOLS, CCR and GMM analysis which is verified the EKC hypothesis for Turkey. Thus, all-time series analysis of this paper confirms that air freight, economic growth, and energy usage cause environmental pollution between 1970 and 2018 for Turkey. When the empirical results are considered the Environmental Management System has not yet been established at airports open to international traffic. However, in order to meet the standards expected by international aviation authorities, it is necessary to develop practices in this regard at airports in Turkey. Today, when environmental pollution has reached serious dimensions, airport operators, local people and every unit of the aviation industry will go to produce solutions and take precautions together. With the Environmental Management System to be established within the airport, which is accepted as indispensable businesses in terms of social and economic aspects for the environment; it will be able to achieve sustainable development by increasing their performance in the new period. The use of renewable energy sources at airports will contribute to the process. Financial incentives should be provided to airline companies that are willing to invest in line with these targets, and tax exemptions should be introduced for such investments. Although it does not seem possible in the near future, it is important for the future sustainability of the sector to carry out studies on electric air transportation.

Achieving sustainable customer loyalty in airports: The role of waiting time satisfaction and self-service technologies

Waiting time appears to be an unavoidable part of the service industry, particularly at the airport, where you may encounter delays due to check-in, screening, and other activities. This waiting experience can vex customers, affecting their perception of the service provider and, consequently, their loyalty. Our study aimed to determine the effect of waiting time satisfaction and the use of self-service technology on the long-term sustainability of customer loyalty. 750 structured questionnaires were distributed to travelers at two international airports in Turkey. PLS-SEM was used to analyses the models. Our findings indicate that customer satisfaction with waiting times and the use of self-service technologies are critical for the long-term sustainability of customer loyalty. Additionally, we discovered that waiting time satisfaction partially mediates the relationship between self-service technology use and long-term customer loyalty. Finally, the managerial implications were discussed, including future research suggestions.

Dönüşümcü liderliğin örgütsel güven üzerindeki etkisi: Havacılık sektöründe bir çalışma

This research focuses on the concept of organizational trust, which stands out in the activities of employees in different business lines of airline companies at airports in Turkey and directly affects expectations such as organizational communication, organizational efficiency, performance, and organizational commitment. In this context, the concept of trust is seen as the belief and expectation of the employee in the promises and actions of the organization. In the research, the relationship between the concept of trust and the transformational leadership skills expected from the responsible managers of the employees, who are effective in the complete and safe execution of the operations at the airports despite the pressure of time and workload, has been taken as the subject. The aim of the study was determined as the effect of transformational leadership on organizational trust. The field of this research consists of employees of 3 different private airline companies, operating at Ankara Esenboğa Airport. In this study, to measure transformational leadership, the method of “Transformational Leadership Scale” developed by Carless et al. was used which had carried out to investigate the effect of transformational leadership behavior on organizational trust [1]. Additionally, to measure organizational trust, the “Organizational Trust Scale” developed by Tokgöz and Seymen by making use of different scale factors with hospital staff, was used [2]. In the study, in which 270 survey data were evaluated, a positive and statistically significant relationship was found between transformational leadership and organizational trust (r=0.642, p

COVID-19 Sürecinde İhracat ve Hava Kargo Taşımacılığı: Antalya Havalimanı Üzerine Bir Araştırma

COVID-19'un hızlı yayılması nedeniyle Dünya, benzeri görülmemiş bir kriz yaşamaktadır. Gelişmiş ve gelişmekte olan ekonomiler için kilit sektör olarak sınıflandırılan havacılık sektörü ise mevcut krizden önemli ölçüde etkilenmiştir. Ancak hava kargo sektörü havacılık sektörünün geneline kıyasla bazı kalemlerde büyüme eğilimi göstermiştir. Bu nedenle, bu çalışmanın amacı, Türkiye’nin en büyük havalimanlarından biri olan Antalya havalimanın hava kargo ihracatının COVID-19 öncesi ve sonrası trendini analiz etmek ve havacılık sektörünün krizden çıkış ve büyümesini Antalya havalimanı özelinde geleceğe yönelik beklentilerle incelemektir. Çalışma bulgularına göre COVID-19 öncesi ve sonrası Antalya ili ile Antalya Havalimanı hava kargo ihracatının mevcut durumu tespit edilmiş ve ilgili literatüre yönelik öneriler, veriler bağlamında tartışılmıştır. Araştırma sonucunda; 2020 yılında Türkiye genel ihracat rakamları 2019 yılına oranla %6,2 azalırken Antalya ili ihracatı ise %12,5 artmıştır. 2018 ve 2019 yılları arasında Antalya ilinden hava kargo ile yoğunlukla sanayi ve maden ürünlerinin ihraç edildiği ancak 2020 yılında ise bu ürünlerin ihracatının dramatik bir şekilde azaldığı görülmüştür. Fakat aynı yıl sırayla bitkisel gıdalar ve yaş sebze meyve ihracatı %27,1 ve %70,5 oranlarında artarak pandemi öncesi ihracat değerlerinin çok üzerine çıktığı tespit edilmiştir. Anahtar Kelimeler: COVID-19, Lojistik, Hava Kargo, İhracat, Antalya Havalimanı JEL Sınıflandırması: R10, R40

A Window DEA Based Efficiency Evaluation of the Public Airports in Turkey: 2014–2019 Case

A Window DEA Based Efficiency Evaluation of the Public Airports in Turkey: 2014–2019 Case

Meso-Scale Comparison of Non-Sea-Effect and Sea-Effect Snowfalls, and Development of Prediction Algorithm for Megacity Istanbul Airports in Turkey

This study aimed to determine the atmospheric conditions in which sea-effect snow (SES) and non-SES events occurred in a meso-scale structure. All snow events between 2009 and 2018 were found by examining the aviation reports at two international airports in Istanbul, Turkey. Then, threshold values and threshold intervals were presented for SES and non-SES events on the basis of many meteorological parameters (e.g., air temperature, dew point, relative humidity, heat fluxes, sea surface temperature (SST)). In addition, an algorithm was created for operational prediction of SES events at both airports. The most important parameter that distinguished SES events from NON-SES events was the temperature difference between sea surface (SS) and upper-atmosphere air parcel. Accordingly, sensible and latent heat fluxes had similarly higher values in SES events on average. Although the wind directions were mostly northerly in both event types, low wind shear in the layer between the SS and sub-inversion was prominent in SES events. For average snow depths, higher depths were measured in SES events than in non-SES events. In the same snow depth range, the heat fluxes were mostly high in SES events; on the other hand, the relative humidity values were lower.

Evaluating Changes in Spatial Accessibility to Airports in Turkey between 2000 and 2018

The present study aims to investigate the changes that occurred between 2000 and 2018 with regard to spatial accessibility to airports for each district in Turkey. Within this scope, first, the service coverage area of each airport within 1 to 2 h travel time by car for 2000, 2009, and 2018 using the available road networks for the given years is evaluated and each district that can reach at least one airport within 1 to 2 h by car determined. Secondly, the catchment areas of each airport are defined based on geographical distribution and the catchment populations of airports found. Thirdly, the regionalization coefficient for each airport in the given years is calculated to understand the availability of each airport by comparing the catchment area population with the number of domestic passengers. Finally, a gravity-based formula is employed to measure the spatial accessibility value of each district to the airports within the catchment area of 2 h travel time in the given years. The main findings from the study provide clues about the direction of future policies. The last airports to open have reduced the maximum distance covered, especially in eastern Turkey; consequently, airports’ catchment populations have shrunk. However, the regionalization coefficients of airports located in regional centers and hub cities have increased in consequence of the increase in the number of air passengers over the given period. In summary, travel time to main hubs and airports’ total catchment populations have had combined effects on the number of air passengers and spatial accessibility values of districts in Turkey.

Effects of Brand Heritage on Intentions to Buy of Airline Services: The Mediating Roles of Brand Trust and Brand Loyalty

Brands are facing significant pressures in globalized markets so as to communicate a consistent corporate identity to their customers. Accordingly, the established past of a brand should be considered a key resource by giving the organization a competitive advantage in the marketplace. This paper examines the relationship between brand heritage and consumers’ purchase intentions of airline services and investigates the mediating roles of trust and loyalty. We conceptualize that brand heritage will have a positive effect on consumers’ purchase intentions of airline services. Moreover, using the Commitment-Trust Theory (Morgan and Hunt, 1994), we hypothesize that brand trust and brand loyalty will mediate the relationship between brand heritage and purchase intentions. Data for the study (n = 567) is collected through personal interviews of airline passengers traveling from 10 different major airports in Turkey. Results reveal that brand heritage has a significant positive direct effect on purchase intensions; however, when the brand trust and brand loyalty constructs are introduced into the model, the direct effect becomes statistically insignificant, demonstrating full mediation roles of brand trust and brand loyalty on purchase intentions. Research and practical implications are discussed.

A study on the environmental and economic aspects of aircraft emissions at the Antalya International Airport.

In the last decade, aircraft-induced environmental issues have attracted much research interest. In addition to studies on performance related emissions, air pollution and emissions in the field of airports also draw attention. Within this framework, the Antalya International Airport, one of the busiest airports in Turkey, is assessed from the viewpoint of the environment and economics. The present paper reveals the environmental impact and environmental cost of emitted exhaust gases from aircraft operating at the Antalya International Airport in July, 2018, the busiest period in the year. Within this scope the emissions indexes of each exhaust gas, global warming potential and environmental cost of various aircraft types and airways are calculated. To determine these parameters, real-time measurement data has been obtained from the Ministry of Transport and Infrastructure of the Republic of Turkey. At the end of the analyses, aircraft of the B737 family are found to have the highest global warming potential and environmental cost, with values of 630,633.3 GWP and 39,723.4 Euros, respectively. In a future study, the authors intend to evaluate particulate matter emissions at the same airport.

Aircraft Detection System Based on Regions with Convolutional Neural Networks

Object detection in remote sensing imagery is an important topic of image processing researches. Detection of objects and regions from satellite imagery takes its place in various applications such as the detection of residential areas and agricultural lands, road lines, ships, as well as airport and hangar detections. As a more specific remote sensing imagery based object-detection process, a stationary aircraft detection system could serve as a model in some military applications. Such a model could serve the detection of stationary aircraft targets in airports. In the proposed study, a deep learning-based model detects the aircraft in the airports using the satellite images from Google Earth. The deep learning model uses the state of the art Regions with Convolutional Neural Network (RCNN). Firstly a built from scratch CNN design is used for the basic learning step of the system. Then, RCNN performs region detection, which anchors the stationary aircraft object bounding boxes. A large dataset containing aircraft images is preferred for the training of CNN. To validate the system, satellite images captured from airports in Turkey are used. The results of the study show that the proposed model successfully operates aircraft detection with high-performance rates. While the classifier network structure, which constitutes the first step of the study, produces 98.4% test accuracy, the proposed aircraft detection framework has successfully performed the aircraft identification process by producing matched bounding boxes in the test images.

Investigation into waiting time, self‐service technology, and customer loyalty: The mediating role of waiting time in satisfaction

AbstractThis study examines customer satisfaction with waiting time (WT) and customer loyalty (CL) relationships in the airline industry. The mediating influence of waiting time satisfaction (WTS) in the self‐service technology (SST) and CL relationship was also examined. Seven hundred fifty structured questionnaires were administered at Sabiha Gökçen, and Instabul international airports in Turkey and partial least square–structural equation modeling were employed for the model analysis. The findings reveal that SST, perceived, retrospective, and prospective WTs are major determinants of WTS. Furthermore, SST and WTS were found to have a linear and significant positive influence on CL. Therefore, this study suggests that the airport management should identify the causes of WT, make the waiting environment conducive for the customers, make the WT inconsequential to the customers, and enhance their loyalty to the airport.

Measuring the productivity of selected airports in Turkey

The aim of this study is to analyse the productivity of airports, operated by the General Directorate of State Airports Authority (DHMI in Turkish acronym) in Turkey, for a period from 2014 to 2018 using a hybrid method called Weight Restricted EATWOS without Consideration of Satisficing Levels and to offer improvement suggestions. The productivity of the airports was also measured using both equally weighted EATWOS without consideration of satisficing levels and the model of input-oriented DEA based on the assumption of constant returns to scale to compare the results obtained using the proposed model with those obtained using traditional methods.

Analysis of airports using clustering methods: case study in Turkey

Purpose- Airports in Turkey can be grouped using by various methods. One of these methods is clustering. In this study, 55 airports operating in Turkey, were analyzed by clustering methods. Methodology- The airports are clustered according to similar features by the K-means method. The number of clusters was determined by using the elbow method. The clusters were verified by Ward's method. While clustering was being carried out, basic features such as passengers using airports, cargo carried by airports, and number of flights were used. Findings- In this study, it has been seen that the airports have been divided into six clusters, two of which have just one element. It is also understood that five major airports(Istanbul Ataturk, Istanbul Sabiha Gokcen, Ankara Esenboga, Izmir Adnan Menderes, Antalya) are quite different from other airports. Conclusion- As a result, in this study, airports were clustered and similar airports were identified and a resource was prepared to assist managers in thinking that the solutions to common problems would be effective at similar airports.