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This paper aims to assess the performance evaluation of major international airports in the world.

In this study, the authors utilized data envelopment analysis in an input‐oriented method to discuss the overall operational performance of 20 major international airports between 2001 and 2005. They used cross efficiency measure to determine the international airports that enjoy the best operational performances and used the bilateral model to compare the performance differences between international airports of different regions.

The Atlanta Airport (ATL) in the USA and the Beijing Airport (PEK) in China experienced MPSS. The overall performance of international airports in Asia is better than those in Americas, Europe, and Oceania.

Service quality can be discuss in the field in the future.

In sensitivity analysis, four inputs had positive impacts on overall performances.

The ATL in the USA and the PEK in China were the best practices for the other international airports.

Performance evaluation of airports or any other organisation is paramount for improving performance. The purpose of this paper is to evaluate and compare the performance of the three international airports in Libya (MJI, MRA, and LAQ airports) by considering five aspects of performance.

The considered aspects are airport service quality, airport operations, airport economy, safety and security, and environmental. The paper uses the grey system theory to assess these airports by summarizing the opinions of experts.

The finding of this study provides directions of the evaluated airports to take the correct actions to improve overall performance.

No literature has been found till date is to evaluate and compare the performance of the international airports in Libya.

The increasing number of older passengers is resulted in a growing significance of international senior tourism industry. In today's competitive airport environments, improving the airport service performance (ASP) for older passengers is crucial to take an important place in the market. ASP design has been in the focal point of many researchers and airport stakeholders. However, the service performance evaluation regarding airport architectural design and use of older passengers have been mostly underrated.

The study focused on ASP evaluation of architectural building elements. The proposed simulation-based service walkthrough (SBSW) was applied in a case airport building in Istanbul. Experts performed landside passenger activities to evaluate its ASP with a given walkthrough instruction. An empathic tool, GERonTologic age simulation (GERT) suit, was used to experience the physical limitations of older passengers during the experiment.

Results showed that SBSW positively influenced experts' evaluation of ASP, where higher service problems were obtained. The GERT suit created a significant difference, where lower ASP scores and higher perceived empathy were observed within the group with the GERT suit. The study concluded that the proposed ASP criteria and SBSW could provide a useful research framework during service design of age-friendly airports.

The study addressed a novel area of enquiry by proposing a new set of ASP criteria for older passengers considering the airport architectural design and evaluating these criteria through a new empathic approach “SBSW”.

This study aims to provide a meaningful comparison of airports’ performance and better understand the differences observed in the analysed airport performance by presenting a model to analyse the relationship between operational and financial performance and airport characteristics.

This study uses a quantitative analysis approach. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and entropy weight were utilised to analyse 17 airports in three Airports Council International regions: Asia, Europe and North America. Through operational and financial factors, these sample airports identified the most efficiently operated airports from 2016 to 2019.

Overall, Asian airports were superior in operational and financial efficiency. Unlike operating performance, the sample airport’s financial and total performance results show a similar trend. There were no noticeable changes in operational factors. Therefore, differences in financial variables for each airport may affect the total performance.

This study provides insightful implications for airport policymakers to establish a standardised information disclosure foundation for consistent analysis and encourage airports to provide this information.

The adoption of Earnings Before Interest, Taxes, Depreciation, and Amortisation (EBITDA) to debt ratio and EBITDA per passenger, which had previously been underutilised in the previous study as financial factors, demonstrated differences between airports for airport stakeholders. In addition, the study presented a model that facilitates producing more intuitive results using TOPSIS, which was relatively underutilised compared to other methodologies such as date envelopment analysis.

The purpose of this paper is to employ an efficiency analysis and compare the efficiency scores of publicly or privately operated airports in Turkey.

This study uses analytic hierarchy process, which is one of the widely known multi-criteria decision-making methods to calculate the relative weights of input and outputs. This study also uses data envelopment analysis and assurance region (AR) method to calculate the efficiency scores of airports at the empirical analysis stage.

The empirical results reveal that DEA-BCC and DEA-CCR methods produced almost the same efficiency scores, and 14 airports were found as efficient. Also, AR method was employed and under this method, it was only two airports operated by the private sector that were found as efficient. None of the publicly operated airports was found as efficient.

The main practical implication of this study is that publicly operated airports must improve their efficiency levels in Turkey. This situation indicates that the government policy for the aviation sector must be changed. It is not a coincidence that all publicly operated airports are inefficient. To cope with this situation, it may be a useful policy that establishes a regional airport system or applies the privatization process to all airports.

The most significant contribution of this study to literature is that the AR method, which was never used before in a single country’s airport performance evaluation study, was applied for the first time. Also, this technique was applied first time to Turkish airports for measuring their efficiency levels.

An important and challenging question for air transportation regulators and airport operators is the definition and specification of airport capacity. Annual capacity is used for long-term planning purposes as a degree of available service volume, but it poses several inefficiencies when measuring the true throughput of the system because of seasonal and daily variations of traffic. Instead, airport throughput is calculated or estimated for a short period of time, usually one hour. This brings about a mismatch: air traffic forecasts typically yield annual volumes, whereas capacity is measured on hourly figures. To manage the right balance between airport capacity and demand, annual traffic volumes must be converted into design hour volumes, so that they can be compared with the true throughput of the system. This comparison is a cornerstone in planning new airport infrastructures, as design-period parameters are important for airport planners in anticipating where and when congestion occurs. Although the design hour for airport traffic has historically had a number of definitions, it is necessary to improve the way air traffic design hours are selected. This study aims to provide an empirical analysis of airport capacity and demand, specifically focusing on insights related to air traffic design hours and the relationship between capacity and delay.

By reviewing the empirical relationships between hourly and annual air traffic volumes and between practical capacity and delay at 50 European airports during the period 2004–2021, this paper discusses the problem of defining a suitable peak hour for capacity evaluation purposes. The authors use information from several data sources, including EUROCONTROL, ACI and OAG. This study provides functional links between design hours and annual volumes for different airport clusters. Additionally, the authors appraise different daily traffic distribution patterns and their variation by hour of the day.

The clustering of airports with respect to their capacity, operational and traffic characteristics allows us to discover functional relationships between annual traffic and the percentage of traffic in the design hour. These relationships help the authors to propose empirical methods to derive expected traffic in design hours from annual volumes. The main conclusion is that the percentage of total annual traffic that is concentrated at the design hour maintains a predictable behavior through a “potential” adjustment with respect to the volume of annual traffic. Moreover, the authors provide an experimental link between capacity and delay so that peak hour figures can be related to factors that describe the quality of traffic operations.

The functional relationships between hourly and annual air traffic volumes and between capacity and delay, can be used to properly assess airport expansion projects or to optimize resource allocation tasks. This study offers new evidence on the nature of airport capacity and the dynamics of air traffic design hours and delay.

The global economy and air transport business have been negatively affected owing to the COVID-19 pandemic outbreak. As countries tighten restrictions on international movements, the growing emphasis on air cargo places pressure on airports to maintain and upgrade their cargo policies, facilities and operations. Hence, ensuring the competitiveness of cargo airports is pivotal for their survival under volatile global demand. This study aims to evaluate the importance of competitiveness factors for cargo airports and identify areas for further improvement.

This study applies the Best-Worst Method (BWM) to assess the cargo airports' competitiveness factors.

The results identified “Transport Capacity” as the most significant competitiveness factor, implying that airport connectivity is crucial in promoting cargo transportation at hub airports. This result was followed by “Airport Operations' and Facilities' Capacity” and “Economic Growth.”. Additionally, the results identified Hong Kong International Airport as the best-performing cargo airport, followed by Aéroport de Paris-Charles de Gaulle and Incheon International Airport, respectively. Furthermore, both selected European airports are the most competitive airports in terms of “Financial Performance” and appear to be aware of the significance of their brand value.

This study forms a reference framework for evaluating cargo airports’ competitive positions, which may help identify airports’ relative strengths and weaknesses. Moreover, this framework can also serve as a tool to facilitate the strategic design of airports that can accommodate air cargo demand flexibly under demand uncertainty.

The purpose of this paper is to provide a comprehensive overview of the literature related to performance measurement (PM) in airport settings. Two research questions were addressed: how the literature has evolved during the last 45 years; and which performance dimensions have been emphasized during this period.

For the purpose of this study, 380 documents, published between 1970 and 2015 were systematically analyzed. The literature reviewed comprises academic peer-reviewed articles, and studies published by other relevant sources, including professional-related literature.

The literature reviewed points to three stages relating to the evolution of the PM in airport settings during the period analyzed. Although with a significant lag, this evolution seems to have followed the broad literature on PM. Moreover, a relationship between these stages and the changes occurring at the airport industry was found. Several aspects of airport multidimensional performance are identified and discussed.

Based on the findings of this study, it is concluded that a more comprehensive approach to airport PM is needed. In this context, a research agenda is suggested.

The findings of this study have relevant practical implications for the airport industry. In this context, a framework representing a comprehensive approach to airport performance dimensions with impact on external stakeholders is presented. This framework can be a relevant contribution for researchers and practitioners which are looking for a more comprehensive and multidimensional approach to airport PM.

To the best of the authors’ knowledge, this study appears to be the first to examine the literature related to airport PM according to such a comprehensive approach. A framework of the performance dimensions related to the airport business is provided.

As part of total quality management (TQM), benchmarking management has become a competitive technology taken by many successful companies. A benchmark is the value of some parameters used as a reference point to compare the effectiveness of the various benchmarking processes within one corporation with another and the information obtained is used to improve the processes. In this paper, we propose a quantitative model which links performance indicators with benchmarking process to help the company establish competitive benchmarking. In recent years, industry practices have evolved their strategic and operational decisions taking customer orientation into consideration. Therefore, this study attempts to build the benchmarking from the “voice” of the customer. The comprehensive methodology we propose here is called the quality benchmarking deployment (QBD) technique. In this empirical study, we examined the CKS International Airport and found that the “convenience of transport facilities connecting to the outside”, the “interior design and layout”, and the “information service of the airport” should be priorities to be improved in performing benchmarking activities. Airport benchmarking could provide the CKS International Airport authority with a long‐term vision and a valuable strategic planning tool in airport service.

This paper aims to describe the processes used to ensure that the comparisons made between airport and airline performance are as meaningful as possible, and to highlight a number of issues which need to be considered when making performance comparisons in aviation.

Evidence was gathered from an international data sample of airports and airlines. Operational and financial data was derived from published reports.

The research illustrates the scale of differences in airport performance levels, and it also highlights the considerable difference in performance levels between airports and airlines. It is clear that many factors can impact on an airport's ability to optimise its performance, and on its relative level of performance when compared to its peers.

The research highlights and demonstrates the need for a degree of understanding of contextual factors when comparing airport performance measures with each other and when comparing airline performance.

Insight into the process by which airport and airline performance measurements can be compared with each other.