Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43251
DC FieldValueLanguage
dc.contributor.authorTovar De La Fe, Beatriz Erasmien_US
dc.contributor.authorRodríguez-Déniz, Héctoren_US
dc.contributor.otherTovar de la Fe, Beatriz-
dc.contributor.otherRodriguez-Deniz, Hector-
dc.date.accessioned2018-11-21T13:44:46Z-
dc.date.available2018-11-21T13:44:46Z-
dc.date.issued2015en_US
dc.identifier.issn0144-1647en_US
dc.identifier.urihttp://hdl.handle.net/10553/43251-
dc.description.abstractPort efficiency and port clustering are two aspects that have received different degrees of attention in the existing literature. While the actual estimation of port efficiency has been extensively studied, the existing literature has paid little attention to developing robust methodologies for port classification. In this paper, we review the literature on classification methods for port efficiency, and present an approach that combines stochastic frontier analysis, clustering and self-organized maps (SOM). Cluster methodologies that build on the estimated cost function parameters could group ports into performance metrics’ categories. This helps when setting improvement targets for ports as a function of their specific cluster. The methodology is applied to a database of Spanish port authorities. The dendrogram features three clusters and five outlier Spanish Port Authorities. SOM are employed to track the temporal evolution of Spanish Port Authorities that are of special interest for some reasons (i.e. outliers). Results show that use of a combination of cost frontier and cluster methods to define robust port typology and SOMs, jointly or in isolation, offers useful information to the decision-makers.en_US
dc.languageengen_US
dc.publisher0144-1647
dc.relation.ispartofTransport Reviewsen_US
dc.sourceTransport Reviews[ISSN 0144-1647],v. 35, p. 378-400en_US
dc.subject531212 Transportes y comunicacionesen_US
dc.subject.otherPuertosen_US
dc.titleClassifying ports for efficiency benchmarking: a review and a frontier-based clustering approachen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1080/01441647.2015.1016473
dc.identifier.scopus84928584793-
dc.identifier.isi000353413400007-
dcterms.isPartOfTransport Reviews
dcterms.sourceTransport Reviews[ISSN 0144-1647],v. 35 (3), p. 378-400
dc.contributor.authorscopusid17347339500-
dc.contributor.authorscopusid55638048300-
dc.description.lastpage400-
dc.description.firstpage378-
dc.relation.volume35-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000353413400007
dc.contributor.daisngid998980-
dc.contributor.daisngid3241444-
dc.identifier.investigatorRIDL-6643-2014-
dc.identifier.investigatorRIDNo ID-
dc.contributor.wosstandardWOS:Tovar, B
dc.contributor.wosstandardWOS:Rodriguez-Deniz, H
dc.date.coverdateEnero 2015
dc.identifier.ulpgces
dc.description.sjr1,75
dc.description.jcr2,452
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.ssciSSCI
dc.description.erihplusERIH PLUS
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR TIDES: Investigación en Turismo y Transporte-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Análisis Económico Aplicado-
crisitem.author.orcid0000-0002-3444-7842-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameTovar De La Fe, Beatriz Erasmi-
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