Systemic Agent-Based Modeling and Analysis of Passenger Discretionary Activities in Airport Terminals

Discretionary activities such as retail, food, and beverages generate a significant amount of non-aeronautical revenue within the aviation industry. However, they are rarely taken into account in computational airport terminal models. Since discretionary affect passenger flow global performance, need to be studied detail. Additionally, influenced by other processes, check-in security. Thus, relation processes. The aim this study is analyze systemic way, taking interdependencies with processes operational strategies used manage these An agent-based simulation model for operations was developed, which covers main handling decision-making activities. obtained results show that reduce queue time or increase free can significantly improve performance through efficiency, revenue, cost.