Publication:
Analysis of the need for a network of service/resting areas especially adapted to the transport of dangerous goods by means of a maximal covering location model.

dc.contributor.authorCaro Vela, M. D.
dc.contributor.authorParalera Morales, Concepción
dc.date.accessioned2026-02-09T12:56:47Z
dc.date.available2026-02-09T12:56:47Z
dc.date.issued2011-03-04
dc.description.abstractThere is an urgent need to find solutions for the difficult and hazardous situation caused by the transport of dangerous goods by road. Secured parking areas are wanted for vehicles carrying these materials to comply with the legal requirements concerning driving and resting times. In our work, we analyze this need by applying a location model supported with Geographic Information Systems (GIS) to study the coverage of this type of areas in Spain. KeywordsMaximal covering location model–Transport of dangerous goods–Geographic information system
dc.description.sponsorshipUniversidad Pablo de Olavide. Departamento de Economía, Métodos Cuantitativos e Historia Económica
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of Transportation Security, Vol. 4 (3), pp. 187-200
dc.identifier.doi10.1007/s12198-011-0065-4
dc.identifier.urihttps://hdl.handle.net/10433/26059
dc.language.isoen
dc.publisherSpringer Nature
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMaximal covering location model
dc.subjectTransport of dangerous goods
dc.subjectGeographic information system
dc.titleAnalysis of the need for a network of service/resting areas especially adapted to the transport of dangerous goods by means of a maximal covering location model.
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublication124a90f9-6678-43c3-944e-5e029c676ffd
relation.isAuthorOfPublication15949ff8-688b-4fb1-9de4-37599144f54b
relation.isAuthorOfPublication.latestForDiscovery124a90f9-6678-43c3-944e-5e029c676ffd

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