Optimization of Airport Capacity Efficiency by Selecting Optimal Aircraft and Airline Business Model

Abstract

This paper analyses the impact of airline business models on airport infrastructure and operational capacity and answers the question how to optimize capacity in order to achieve maximum efficiency and profitability as well as how to maintain an adequate level of service quality. As part of the research, a new model was created as an integral part of the Airport Management Strategy Software (AMSS) application. The purpose of the application is to enable the airport management to review and optimize operations in terms of maximum technical and technological capacity utilization. In addition, the application can be used to fill the available slots according to the specifics of the airline’s business model without compromising the security, flexibility, and profitability of airport operations. The validation of the application was conducted at Zagreb Airport, which generated traffic of 3.4 million passengers in 2019. The result of the research is a model which, based on the calculation of the existing capacity of the airport infrastructure and ground handling equipment, enables the simulation of new airline business models and aircraft type implementation. Furthermore, the model also analyses their impact on the utilization of the airport infrastructure and equipment. The research demonstrated the interdependence between airport capacity optimization and optimal slot allocation, and the specifics of airline business models and aircraft types in their fleets. By adopting this model, airport managers can prevent mistakes that arise during negotiations with airlines, which can result in the under capacity of the infrastructure, equipment, and human resources as well as cause lower levels of security, numerous delays, reduced quality of service and, ultimately, negative financial effects.

Development of a Regression Model to Forecast Air Travel Demand at Baghdad International Airport

“…However, there is no evidence that it has a farelowering effect. In addition, Secilmis and Koc (2016) [3] studied the relationship between air transport demand volume and economic variables influencing it in Turkey and the European Union: According to the findings, there are two effects on air demand: national capita income and the industrial production index have a positive influence, while airfares, inflation, and the exchange rate have an inverse influence. Furthermore, Schmalz et al (2017) [4] investigated the variables influencing European aviation demand in terms of both quantitative and qualitative data; the regression analysis revealed that the key variables of air demand are the country's GDP, education level, and geographical location.…”

“…As well as one that greatly contributes to global economic progress, political stability, and an increase in social values. The estimation of air travel demand is an important factor in air carrier and new line planning, as well as potential markets, strategic plans, and the financial sector [3]. Schmalz et al (2017) [4] studied variables impacting demand, including population, Gross Domestic Product (GDP), income, labor market, commerce, schedule, and airfares.…”

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“…In the past, Yoon and Jeong conducted an extensive analysis to estimate passenger delay using a discrete event simulation model, and they developed a plan to expand Te goal of this approach was to precisely determine the potential free capacity of an airport's infrastructure and operations, as well as the aircraft that can be added to increase and maximize the airport's efciency by maintaining an adequate level of service and conducting airport business without causing any delays [19]. However, recent studies have shown that agentbased models can be used as a proactive alternative in airport planning, operations, and commercialization strategies.…”

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“…In addition, there is a need to focus on sustainability and environmental responsibility. Knowing the business model is one of the most important factors during any crisis, as it allows the owner to react flexibly to change and ensure the sustainable development of the airport [24][25][26].…”