TY - JOUR
T1 - Systemic agent-based modeling and analysis of passenger discretionary activities in airport terminals
AU - Mekić, Adin
AU - Mohammadi Ziabari, Seyed Sahand
AU - Sharpanskykh, Alexei
PY - 2021
Y1 - 2021
N2 - 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 activities affect passenger flow and global airport terminal performance, discretionary activities need to be studied in detail. Additionally, discretionary activities are influenced by other airport terminal processes, such as check-in and security. Thus, discretionary activities need to be studied in relation to other airport terminal processes. The aim of this study is to analyze discretionary activities in a systemic way, taking into account interdependencies with other airport terminal processes and operational strategies used to manage these processes. An agent-based simulation model for airport terminal operations was developed, which covers the main handling processes and passenger decision-making with discretionary activities. The obtained simulation results show that operational strategies that reduce passenger queue time or increase passenger free time can significantly improve global airport terminal performance through efficiency, revenue, and cost.
AB - 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 activities affect passenger flow and global airport terminal performance, discretionary activities need to be studied in detail. Additionally, discretionary activities are influenced by other airport terminal processes, such as check-in and security. Thus, discretionary activities need to be studied in relation to other airport terminal processes. The aim of this study is to analyze discretionary activities in a systemic way, taking into account interdependencies with other airport terminal processes and operational strategies used to manage these processes. An agent-based simulation model for airport terminal operations was developed, which covers the main handling processes and passenger decision-making with discretionary activities. The obtained simulation results show that operational strategies that reduce passenger queue time or increase passenger free time can significantly improve global airport terminal performance through efficiency, revenue, and cost.
KW - Agent-based modeling
KW - Airport terminal operations
KW - Discretionary activities
KW - Operational strategies
UR - http://www.scopus.com/inward/record.url?scp=85108432393&partnerID=8YFLogxK
U2 - 10.3390/aerospace8060162
DO - 10.3390/aerospace8060162
M3 - Article
AN - SCOPUS:85108432393
SN - 2226-4310
VL - 8
JO - Aerospace
JF - Aerospace
IS - 6
M1 - 162
ER -