Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.4887
DC FieldValueLanguage
dc.contributor.authorPertz, Jan-
dc.contributor.authorNiklaß, Malte-
dc.contributor.authorSwaid, Majed-
dc.contributor.authorGollnick, Volker-
dc.contributor.authorKopera, Sven-
dc.contributor.authorSchunck, Kolin-
dc.contributor.authorBaur, Stephan-
dc.date.accessioned2023-01-24T10:31:05Z-
dc.date.available2023-01-24T10:31:05Z-
dc.date.issued2023-01-20-
dc.identifierdoi: 10.3390/drones7020075-
dc.identifier.citationDrones 7 (2): 75 (2023)de_DE
dc.identifier.issn2504-446Xde_DE
dc.identifier.urihttp://hdl.handle.net/11420/14633-
dc.description.abstractWhile different vehicle configurations enter the AAM market, airlines declare different ticket fares for their operations. This research investigates the operating cost of an airline and the economic viability with the announced fare per km rates. For this purpose, three use cases in the metropolitan area of Hamburg showcase representative applications of an AAM system, whereby a flight trajectory model calculates a flight time in each case. The direct operating cost are investigated for each use case individually and are sub-classified in five categories: fee, crew, maintenance, fuel and capital costs. Here, each use case has its own cost characteristics, in which different cost elements dominate. Additionally, a sensitivity analysis shows the effect of a variation of the flight cycles and load factor, that influences the costs as well as the airline business itself. Based on the occurring cost, a profit margin per available seat kilometer lead to a necessary fare per km, that an airline has to charge.-
dc.description.abstractWhile different vehicle configurations enter the AAM market, airlines declare different ticket fares for their operations. This research investigates the operating cost of an airline and the economic viability with the announced fare per km rates. For this purpose, three use cases in the metropolitan area of Hamburg showcase representative applications of an AAM system, whereby a flight trajectory model calculates a flight time in each case. The direct operating cost are investigated for each use case individually and are sub-classified in five categories: fee, crew, maintenance, fuel and capital costs. Here, each use case has its own cost characteristics, in which different cost elements dominate. Additionally, a sensitivity analysis shows the effect of a variation of the flight cycles and load factor, that influences the costs as well as the airline business itself. Based on the occurring cost, a profit margin per available seat kilometer lead to a necessary fare per km, that an airline has to charge.en
dc.language.isoende_DE
dc.publisherMultidisciplinary Digital Publishing Institutede_DE
dc.relation.ispartofDronesde_DE
dc.rightsCC BY 4.0de_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de_DE
dc.subjecturban air mobilityde_DE
dc.subjectadvanced air mobilityde_DE
dc.subjectcost modelingde_DE
dc.subjectdirect operating costde_DE
dc.subjectprofit marginde_DE
dc.subjectticket pricede_DE
dc.subjectintra-cityde_DE
dc.subjectairport shuttlede_DE
dc.subjectregional mobilityde_DE
dc.subject.ddc330: Wirtschaftde_DE
dc.subject.ddc380: Handel, Kommunikation, Verkehrde_DE
dc.subject.ddc600: Technikde_DE
dc.subject.ddc620: Ingenieurwissenschaftende_DE
dc.titleEstimating the economic viability of advanced air mobility use cases : towards the slope of enlightenmentde_DE
dc.typeArticlede_DE
dc.date.updated2023-01-20T14:22:38Z-
dc.identifier.doi10.15480/882.4887-
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.0209015-
tuhh.oai.showtruede_DE
tuhh.abstract.englishWhile different vehicle configurations enter the AAM market, airlines declare different ticket fares for their operations. This research investigates the operating cost of an airline and the economic viability with the announced fare per km rates. For this purpose, three use cases in the metropolitan area of Hamburg showcase representative applications of an AAM system, whereby a flight trajectory model calculates a flight time in each case. The direct operating cost are investigated for each use case individually and are sub-classified in five categories: fee, crew, maintenance, fuel and capital costs. Here, each use case has its own cost characteristics, in which different cost elements dominate. Additionally, a sensitivity analysis shows the effect of a variation of the flight cycles and load factor, that influences the costs as well as the airline business itself. Based on the occurring cost, a profit margin per available seat kilometer lead to a necessary fare per km, that an airline has to charge.de_DE
tuhh.publisher.doi10.3390/drones7020075-
tuhh.publication.instituteLufttransportsysteme M-28de_DE
tuhh.identifier.doi10.15480/882.4887-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue2de_DE
tuhh.container.volume7de_DE
dc.rights.nationallicensefalsede_DE
tuhh.container.articlenumber75de_DE
local.status.inpressfalsede_DE
local.type.versionpublishedVersionde_DE
datacite.resourceTypeArticle-
datacite.resourceTypeGeneralJournalArticle-
item.mappedtypeArticle-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.creatorOrcidPertz, Jan-
item.creatorOrcidNiklaß, Malte-
item.creatorOrcidSwaid, Majed-
item.creatorOrcidGollnick, Volker-
item.creatorOrcidKopera, Sven-
item.creatorOrcidSchunck, Kolin-
item.creatorOrcidBaur, Stephan-
item.creatorGNDPertz, Jan-
item.creatorGNDNiklaß, Malte-
item.creatorGNDSwaid, Majed-
item.creatorGNDGollnick, Volker-
item.creatorGNDKopera, Sven-
item.creatorGNDSchunck, Kolin-
item.creatorGNDBaur, Stephan-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
crisitem.author.deptLufttransportsysteme M-28-
crisitem.author.deptLufttransportsysteme M-28-
crisitem.author.deptLufttransportsysteme M-28-
crisitem.author.orcid0000-0001-7638-5347-
crisitem.author.orcid0000-0001-6760-8561-
crisitem.author.orcid0000-0002-3017-4680-
crisitem.author.orcid0000-0001-7214-0828-
crisitem.author.parentorgStudiendekanat Maschinenbau-
crisitem.author.parentorgStudiendekanat Maschinenbau-
crisitem.author.parentorgStudiendekanat Maschinenbau-
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