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Post-Pandemic Impact Analysis for airport processes from security to boarding – How to respond the next pandemic

Jung, Martin and Claßen, Axel B. and Rudolph, Florian (2023) Post-Pandemic Impact Analysis for airport processes from security to boarding – How to respond the next pandemic. In: Human Interaction and Emerging Technologies (IHIET 2023): Artificial Intelligence and Future Applications, pp. 34-43. IHIET Open Access. Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications, 22.- 24. Aug. 2023, Nizza, Frankreich. doi: 10.54941/ahfe1004007. ISBN 978-1-958651-87-2. ISSN 2367-3370.

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Abstract

The COVID-19 pandemic globally affected the complete transport sector and especially passenger air transport with nosediving traffic numbers, wide-ranging travel restrictions and long-lasting uncertainties (see IATA, 2020). As air travel starts to recover cautiously from severe losses of traffic volumes over the pre-pandemic year 2019 and travel restrictions are relaxing, air transport providers have to ensure that passengers as well as people working within the air transport sector will remain safe and be prepared for the next Pandemic. For Example, arboviruses have the potential to spark the next epidemic, warns the World Health Organisation (WHO) and it might only be a question of time when the next pandemic will rise. Airports need to prepare to cope with the next pandemic efficiently and effectively. For this purpose, we develop a toolbox to analyse and evaluate operational measures along the process chain of travelling at an airport.This paper examines the contamination risks at airports covering the travel process from security checks to aircraft seat. In our study we examine the possibility of an infection by dint of simulation with the Pandemic Simulation Model (Pandemic SiM). For this purpose, we advanced an earlier version of Pandemic SiM that only covered the security check area by adding typical boarding processes of a medium sized European airport. The model is based on a real European airport serving around 12 million passengers per year (in 2019). The simulation model incorporates a new algorithm calculating the probability of spreading a virus (like COVID-19) via droplet, airborne or contact transmission during different airport travel processes along the travel chain. The algorithm considers different infection situations and incidence values and allows for a quantification of infection risks per individual simulated passenger. Based on the output of the simulations of the process chain in combination with that algorithm we can show the effectiveness of measures like social distancing and their consequences to minimize contamination risks along travel processes at airports. The paper describes the modelling, the algorithm to calculate contamination risks, as well as results and findings of the simulation runs. It will show how contamination risks, capacity, waiting times and waiting space are affected. This will provide airport operators with decision support for challenges arising from the need to be prepared for the next pandemic.

Item URL in elib:https://elib.dlr.de/198722/
Document Type:Conference or Workshop Item (Speech)
Title:Post-Pandemic Impact Analysis for airport processes from security to boarding – How to respond the next pandemic
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jung, MartinUNSPECIFIEDhttps://orcid.org/0000-0002-1860-297X145813410
Claßen, Axel B.UNSPECIFIEDhttps://orcid.org/0000-0002-0388-0424UNSPECIFIED
Rudolph, FlorianUNSPECIFIEDhttps://orcid.org/0000-0001-9997-6094UNSPECIFIED
Date:9 August 2023
Journal or Publication Title:Human Interaction and Emerging Technologies (IHIET 2023): Artificial Intelligence and Future Applications
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.54941/ahfe1004007
Page Range:pp. 34-43
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Ahram, TareqIASE, USAUNSPECIFIEDUNSPECIFIED
Taiar, RedhaUniversity of Reims, FranceUNSPECIFIEDUNSPECIFIED
Publisher:IHIET Open Access
ISSN:2367-3370
ISBN:978-1-958651-87-2
Status:Published
Keywords:Simulation, Agents, Pandemic, Airport, Boarding, Security
Event Title:Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications
Event Location:Nizza, Frankreich
Event Type:international Conference
Event Dates:22.- 24. Aug. 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Air Transport Operations and Impact Assessment, L - no assignment, L - MRO and Cabin
Location: Braunschweig , Köln-Porz
Institutes and Institutions:Institute of Air Transport > Air Transport Economics
Institute of Flight Guidance > ATM-Simulation
Institute of Transportation Systems > Cooperative Systems, BS
Deposited By: Jung, Martin
Deposited On:02 Nov 2023 13:45
Last Modified:20 Dec 2023 10:29

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