Combined models with hierarchical demand choices: A multi-objective entropy optimization approach

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dc.contributor.authorDe Cea, Joaquin
dc.contributor.authorFernandez, J. Enrique
dc.contributor.authorDe Grange, Louis
dc.date.accessioned2024-01-10T12:38:06Z
dc.date.available2024-01-10T12:38:06Z
dc.date.issued2008
dc.description.abstractThis article proposes a multi-objective optimization approach to the formulation of a number of equilibrium problems that typically arise in the transportation planning process. These fall into two classes: combined demand and network equilibrium problems, the latter here called performance-demand equilibrium problems. The demand formulations are based on entropy maximization while the network equilibrium designs are modelled on Wardrop's first principle. Both are fully compatible with models based on random utility maximization (multinomial and hierarchical logit). Given the entropy-maximization aspect of the demand models and the use of symmetric cost functions in the networks, the multi-objective formulations yield classical single-objective convex optimization programs. In the past, many such problems have not been obtained deductively, their derivation being based rather on previous knowledge and the modeller's intuition. Of particular interest, therefore, is the simple deductive method presented here for formulating new problems, one that can accommodate new choices such as departure time and transfer point for combined modes. This novel approach also facilitates a better interpretation of the model parameters. In addition, we suggest a calibration procedure that permits consistent estimation of the proposed model's parameters.
dc.fechaingreso.objetodigital2024-05-06
dc.format.extent24 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1080/01441640701763128
dc.identifier.eissn1464-5327
dc.identifier.issn0144-1647
dc.identifier.urihttps://doi.org/10.1080/01441640701763128
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76983
dc.identifier.wosidWOS:000257080400001
dc.information.autorucIngeniería;De Cea J;S/I;99438
dc.information.autorucIngeniería;De Grange L;S/I;7563
dc.information.autorucIngeniería;Fernández J;S/I;99062
dc.issue.numero4
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final438
dc.pagina.inicio415
dc.publisherTAYLOR & FRANCIS LTD
dc.revistaTRANSPORT REVIEWS
dc.rightsacceso restringido
dc.subjectNETWORK EQUILIBRIUM-MODELS
dc.subjectTRAFFIC EQUILIBRIUM
dc.subjectASSIGNMENT
dc.subjectLOCATION
dc.subjectALGORITHMS
dc.subjectDERIVATION
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleCombined models with hierarchical demand choices: A multi-objective entropy optimization approach
dc.typeartículo
dc.volumen28
sipa.codpersvinculados99438
sipa.codpersvinculados7563
sipa.codpersvinculados99062
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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