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dc.contributor.authorFrailea, Alberto
dc.contributor.authorLarrodé, Emilio
dc.contributor.authorMagreñán, Á. Alberto
dc.contributor.authorSicilia, Juan Antonio
dc.date2016-01
dc.date.accessioned2017-04-21T20:01:47Z
dc.date.available2017-04-21T20:01:47Z
dc.identifier.citationFraile et al.. (2016). Decision model for siting transport and logistic facilities in urban environments: A methodological approach. Journal of computational and Applied Mathematics, 291(1), 478-487.es_ES
dc.identifier.issn1879-1778
dc.identifier.issn0377-0427
dc.identifier.urihttps://reunir.unir.net/handle/123456789/4792
dc.description.abstractIn this study, based on the use of a geographic information system (GIS), we define a decision model for determining the possible optimal locations of various facilities in an urban setting, which can be used by the transport infrastructure or logistics sector. The proposed methodology is based on the superposition of layers in GIS software, thereby enabling the prioritization or exclusion of certain areas depending on whether they meet specific requirements defined in each of the layers. This formulation assigns one degree of decision to each area of the map and it then classifies all of the areas to obtain the best solution according to the Jenks optimization method. We provide five case studies of transport-related facilities, including an example where the location of a hydrogen refueling station is determined using the proposed methodology.es_ES
dc.language.isoenges_ES
dc.publisherJournal of Computational and Applied Mathematicses_ES
dc.relation.ispartofseries;vol. 291
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S0377042714005688
dc.rightsrestrictedAccesses_ES
dc.subjectdecision criteriaes_ES
dc.subjectGISes_ES
dc.subjectoptimal sitinges_ES
dc.subjecturban transportes_ES
dc.subjectJCRes_ES
dc.subjectScopuses_ES
dc.titleDecision model for siting transport and logistic facilities in urban environments: A methodological approaches_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1016/j.cam.2014.12.012


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