TY - GEN
T1 - Agent-Based Modelling and Simulation of Airport Terminal Operations Under COVID-19-Related Restrictions
AU - Sanders, Gregory
AU - Mohammadi Ziabari, S. Sahand
AU - Mekić, Adin
AU - Sharpanskykh, Alexei
PY - 2021
Y1 - 2021
N2 - The worldwide COVID-19 pandemic has had a tremendous impact on the aviation industry, with a reduction in passenger demand never seen before. To minimize the spread of the virus and to gain trust from the public in the airport operations’ safety, airports implemented measures, e.g., physical distancing, entry/exit temperature screening and more. However, airports do not know what the impact of these measures will be on the operations’ performance and the passengers’ safety when passenger demand increases back. The goal of this research is twofold. Firstly, to analyze the impact of current (COVID-19) and future pandemic-related measures on airport terminal operations. Secondly, to identify plans that airport management agents can take to control passengers’ flow in a safe, efficient, secure and resilient way. To model and simulate airport operations, an agent-based model was developed. The proposed model covers the main airport’s handling processes and simulates local interactions, such as physical distancing between passengers. The obtained results show that COVID-19 measures can significantly affect the passenger throughput of the handling processes and the average time passengers are in contact with each other. For instance, a 20% increase in check-in time (due to additional COVID-19 related paperwork at the check-in desk) can decrease passenger throughput by 16% and increase the time that passengers are in contact by 23%.
AB - The worldwide COVID-19 pandemic has had a tremendous impact on the aviation industry, with a reduction in passenger demand never seen before. To minimize the spread of the virus and to gain trust from the public in the airport operations’ safety, airports implemented measures, e.g., physical distancing, entry/exit temperature screening and more. However, airports do not know what the impact of these measures will be on the operations’ performance and the passengers’ safety when passenger demand increases back. The goal of this research is twofold. Firstly, to analyze the impact of current (COVID-19) and future pandemic-related measures on airport terminal operations. Secondly, to identify plans that airport management agents can take to control passengers’ flow in a safe, efficient, secure and resilient way. To model and simulate airport operations, an agent-based model was developed. The proposed model covers the main airport’s handling processes and simulates local interactions, such as physical distancing between passengers. The obtained results show that COVID-19 measures can significantly affect the passenger throughput of the handling processes and the average time passengers are in contact with each other. For instance, a 20% increase in check-in time (due to additional COVID-19 related paperwork at the check-in desk) can decrease passenger throughput by 16% and increase the time that passengers are in contact by 23%.
KW - Airport operations
KW - COVID-19
KW - Multi-agent system
KW - Physical distancing
KW - Walking behavior
UR - http://www.scopus.com/inward/record.url?scp=85116332023&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-85739-4_18
DO - 10.1007/978-3-030-85739-4_18
M3 - Conference contribution
AN - SCOPUS:85116332023
SN - 978-3-030-85738-7
VL - 12946
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 214
EP - 228
BT - Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - 19th International Conference, PAAMS 2021, Proceedings
A2 - Dignum, Frank
A2 - Corchado, Juan Manuel
A2 - De La Prieta, Fernando
PB - Springer
T2 - 19th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2021
Y2 - 6 October 2021 through 8 October 2021
ER -