Applying complexity science to air traffic management

Cook, Andrew; Blom, H. A.P.; Lillo, Fabrizio; Mantegna, Rosario Nunzio; Miccichè, Salvatore; Rivas Rivas, Damián; Vázquez Valenzuela, Rafael; Zanin, Massimiliano

doi:10.1016/j.jairtraman.2014.09.011

Artículo

dc.creator	Cook, Andrew	es
dc.creator	Blom, H. A.P.	es
dc.creator	Lillo, Fabrizio	es
dc.creator	Mantegna, Rosario Nunzio	es
dc.creator	Miccichè, Salvatore	es
dc.creator	Rivas Rivas, Damián	es
dc.creator	Vázquez Valenzuela, Rafael	es
dc.creator	Zanin, Massimiliano	es
dc.date.accessioned	2021-03-02T10:53:59Z
dc.date.available	2021-03-02T10:53:59Z
dc.date.issued	2015-01-01
dc.identifier.citation	Cook, A., Blom, H.A.P., Lillo, F., Mantegna, R.N., Miccichè, S., Rivas Rivas, D.,...,Zanin, M. (2015). Applying complexity science to air traffic management. Journal of Air Transport Management, 42, 149-158.
dc.identifier.issn	0969-6997	es
dc.identifier.uri	https://hdl.handle.net/11441/105550
dc.description	Versión aceptada obtenida del archivo digital en línea WestminsterResearch de la Universidad de Westminster.	es
dc.description.abstract	Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of uncertainty, resilience and emergent behaviour are discussed, with future research priorities summarised.	es
dc.format	application/pdf	es
dc.format.extent	17 p.	es
dc.language.iso	eng	es
dc.publisher	Elsevier Ltd	es
dc.relation.ispartof	Journal of Air Transport Management, 42, 149-158.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Urban Rail Transit	es
dc.subject	Transportation Networks	es
dc.subject	L-Space	es
dc.title	Applying complexity science to air traffic management	es
dc.type	info:eu-repo/semantics/article	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/acceptedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos	es
dc.date.embargoEndDate	Enero 2017
dc.relation.publisherversion	https://www.sciencedirect.com/science/article/abs/pii/S0969699714001331	es
dc.identifier.doi	10.1016/j.jairtraman.2014.09.011	es
dc.contributor.group	Universidad de Sevilla. TEP -945: Ingeniería Aeroespacial	es
dc.journaltitle	Journal of Air Transport Management	es
dc.publication.volumen	42	es
dc.publication.initialPage	149	es
dc.publication.endPage	158	es
dc.identifier.sisius	20747055	es

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