Publication:
Analysing capacity challenges in the Multi-Airport System of Mexico City

dc.contributor.authorMújica Mota, Miguel
dc.contributor.authorIzco Berastegui, Irene
dc.contributor.authorFaulín Fajardo, Javier
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.date.accessioned2023-05-18T08:02:14Z
dc.date.available2023-05-18T08:02:14Z
dc.date.issued2022
dc.date.updated2023-05-18T07:57:06Z
dc.description.abstractThe relentless growth in Mexico City’s aviation traffic has inevitably strained capacity development of its airport, raising the dilemma between the possible solutions. In the present study, Mexico’s Multi-Airport System is subjected to analysis by means of multi-model simulation, focusing on the capacity-demand problem of the system. The methodology combines phases of modelling, data collection, simulation, experimental design, and analysis. Drawing a distinction from previous works involving two-airport systems. It also explores the challenges raised by the Covid-19 pandemic in Mexico City airport operations, with a discrete-event simulation model of a multi-airport system composed by three airports (MEX, TLC, and the new airport NLU). The study is including the latest data of flights, infrastructures, and layout collected in 2021. Therefore, the paper aims to answer to the question of whether the system will be able to cope with the expected demand in a short-, medium-, and long term by simulating three future scenarios based on aviation forecasts. The study reveals potential limitations of the system as time evolves and the feasibility of a joint operation to absorb the demand in such a big region like Mexico Cityen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMota, M. M., Berastegui, I. I., Faulin, J. (2022) Analysing capacity challenges in the Multi-Airport System of Mexico City. En Affenzeller, M., Bruzzone, A. G., Jimenez, E., Longo, F., Petrillo A. (Eds.), 34th European Modeling and Simulation Symposium, EMSS 2022 (pp. 310-319). Dime University of Genoa. https://doi.org/10.46354/i3m.2022.emss.044.en
dc.identifier.doi10.46354/i3m.2022.emss.044
dc.identifier.isbn978-88-85741-73-7
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/45301
dc.language.isoengen
dc.publisherDime University of Genoaen
dc.relation.ispartof34th European Modeling and Simulation Symposium, EMSS 2022. Gènova: Dime University of Genoa; 2022. p.310-319 978-88-85741-73-7en
dc.relation.publisherversionhttps://doi.org/10.46354/i3m.2022.emss.044
dc.rights© 2022 The Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license.en
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/ licenses/by-nc-nd/4.0/
dc.subjectAirfield capacityen
dc.subjectMulti-Airport Systemen
dc.subjectSimulationen
dc.subjectTraffic congestionen
dc.titleAnalysing capacity challenges in the Multi-Airport System of Mexico Cityen
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
relation.isAuthorOfPublication2f9b6dfd-9ac6-42b0-bff1-82079b8a03b8
relation.isAuthorOfPublication.latestForDiscovery2f9b6dfd-9ac6-42b0-bff1-82079b8a03b8

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