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 |