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Analysis of the Chinese Airline Network as multi-layer networks
dc.contributor.author | Du, Wen-Bo |
dc.contributor.author | Zhou, Xing-Lian |
dc.contributor.author | Lordan González, Oriol |
dc.contributor.author | Wang, Zhen |
dc.contributor.author | Zhao, Chen |
dc.contributor.author | Zhu, Yan-Bo |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses |
dc.coverage.spatial | east=103.974609375; north=35.17380831799959; name=Xina |
dc.date.accessioned | 2016-05-24T10:21:12Z |
dc.date.available | 2019-05-01T00:30:45Z |
dc.date.issued | 2016-03-23 |
dc.identifier.citation | Du, W., Zhou, X., Lordan, O., Wang, Z., Zhao, C., Zhu, Y. Analysis of the Chinese Airline Network as multi-layer networks. "Transportation research. Part E, logistics and transportation review", 23 Març 2016, vol. 89, p. 108-116. |
dc.identifier.issn | 1366-5545 |
dc.identifier.uri | http://hdl.handle.net/2117/87265 |
dc.description.abstract | This paper encapsulates the Chinese Airline Network (CAN) into multi-layer infrastructures via the “k-core decomposition” method. The network is divided into three layers: Core layer, containing airports of provincial capital cities, is densely connected and sustains most flight flow; Bridge layer, consisting of airports in Tier 2 and Tier 3 cities, mainly connects two other layers; and Periphery layer, comprising airports of remote areas, sustains little flight flow. Moreover, it is unveiled that CAN stays the most robust when low-degree nodes or high flight flow links are removed, which is similar to the Worldwide Airline Network (WAN), albeit less redundant |
dc.format.extent | 9 p. |
dc.language.iso | eng |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Economia i organització d'empreses |
dc.subject.lcsh | Airlines--China |
dc.subject.other | Air transport network |
dc.subject.other | Chinese Airline Network |
dc.subject.other | k-core decomposition |
dc.title | Analysis of the Chinese Airline Network as multi-layer networks |
dc.type | Article |
dc.subject.lemac | Línies aèries |
dc.subject.lemac | Xina |
dc.identifier.doi | 10.1016/j.tre.2016.03.009 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S1366554515300521 |
dc.rights.access | Open Access |
local.identifier.drac | 17839992 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Du, W.; Zhou, X.; Lordan, O.; Wang, Z.; Zhao, C.; Zhu, Y. |
local.citation.publicationName | Transportation research. Part E, logistics and transportation review |
local.citation.volume | 89 |
local.citation.startingPage | 108 |
local.citation.endingPage | 116 |
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