TY - JOUR
T1 - Analysis of security lines policies for improving capacity in airports
T2 - Mexico City case
AU - Mujica Mota, Miguel
AU - Scala, Paolo
AU - Murrieta-Mendoza, Alejandro
AU - Orozco, Angel
AU - Di Bernardi, Alejandro
N1 - Funding Information:
The authors would like to thank the AUAS Aviation Academy for supporting this study, as well as the Dutch Benelux Simulation Society (www.DutchBSS.org) and EUROSIM for disseminating the results of this work and IGAMT members (www.igamt.eu) for the support provided.
Publisher Copyright:
© 2021
PY - 2021/12
Y1 - 2021/12
N2 - With the increase of needs for controlling the passengers that use different modes of transport such as airports, ports, trains, or future ones as hyper loops, security facilities are a key element to be optimized. In the current study, we present an analysis of a security area within an airport with particular restrictions. To improve the capacity, different categories and policies were devised for processing passengers and we propose to adapt the system to these categories and policies. The results indicated that, by designing a proper category in combination with novel technology, it is possible to increase the capacity to values of 2 digits (in terms of passengers/day). As a proof-of-concept, we use a case study of an area within an airport in Mexico based on data and layout of early 2019.
AB - With the increase of needs for controlling the passengers that use different modes of transport such as airports, ports, trains, or future ones as hyper loops, security facilities are a key element to be optimized. In the current study, we present an analysis of a security area within an airport with particular restrictions. To improve the capacity, different categories and policies were devised for processing passengers and we propose to adapt the system to these categories and policies. The results indicated that, by designing a proper category in combination with novel technology, it is possible to increase the capacity to values of 2 digits (in terms of passengers/day). As a proof-of-concept, we use a case study of an area within an airport in Mexico based on data and layout of early 2019.
KW - AICM
KW - Airports
KW - Congestion
KW - Decision support systems
KW - Logistics
KW - Multimodal
KW - Simulation
U2 - https://doi.org/10.1016/j.cstp.2021.07.005
DO - https://doi.org/10.1016/j.cstp.2021.07.005
M3 - Article
SN - 2213-624X
VL - 9
SP - 1476
EP - 1494
JO - Case Studies on Transport Policy
JF - Case Studies on Transport Policy
IS - 4
ER -