Abstract

Until COVID-19 began in earnest, many airports around the world were forced to achieve a serious imbalance between airport slot availability and demand for requested slots due to increasing air traffic every year. This caused a number of problems at three airports in Korea (Incheon, Gimpo, and Jeju airports) as well as many congested airports around the world, including abnormal operation of regular flights, limitations on development of additional air demand, increase in airfare due to imbalance in supply and demand, and restrictions on development of new routes. These problems add to the demand for retaliatory travel, which has never been able to travel at the end of COVID-19, and congestion airports around the world are expected to experience more severe airport congestion than before COVID-19. Therefore, although fundamental measures were needed to solve these problems as soon as possible, in reality, satisfactory adjustment and allocation measures could not be clearly found for the requested slot desired by the air passenger transportation business operator. After all, the structural solution to this is to build a new airport, which is not a problem that can be solved in a short time due to the time it takes to build an airport (an average of seven to eight years to build one), related construction costs, conflicts of interest between stakeholders, and other environmental issues. Therefore, in this study, the priority-based slot allocation model (PSAM), which is the most useful and presentable model among existing scholars' models, was reorganized into a model applicable to Korea's three airports. Subsequently, to verify the significance of the optimization model of the available slot derived from the first research objective and the model that maximizes the benefits of airport operators and air carriers, the best slot adjustment and distribution combination optimized for profitability is derived when international, domestic, and various aircraft are introduced to Incheon, Gimpo, and Jeju airports.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.