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dc.contributor.author | Asgarpour, Sahand![]() |
es_ES |
dc.contributor.author | Hartmann, Andreas![]() |
es_ES |
dc.contributor.author | Morillas, Samuel![]() |
es_ES |
dc.contributor.author | Santos, Joao![]() |
es_ES |
dc.date.accessioned | 2024-06-10T18:24:20Z | |
dc.date.available | 2024-06-10T18:24:20Z | |
dc.date.issued | 2024-01 | es_ES |
dc.identifier.issn | 2210-5395 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/204964 | |
dc.description.abstract | [EN] This paper proposes a fuzzy logic mode choice model combined with a Delphi method to extract inference rules, representing the evaluation processes performed by experts. The model covers railway, road, and inland waterway networks and can handle imprecise information about the level of input variables. This fuzziness arises from the attitude and perception of decision-makers and subjective uncertainties. It extends existing models beyond optimisation and includes influential and interrelated input variables. The Rotterdam-Venlo multi-modal freight corridor in the Netherlands is selected as a case study to demonstrate the model's applicability. The model can be used to assist freight forwarders in understanding possible mode choice directions under a certain scenario, support policymakers in testing the effectiveness of designed or implemented policies (e.g. emission reduction), and give insights to infrastructure managers about performance developments by tracing possible effects of planned investments on the mode choice and possible demand shifts. | es_ES |
dc.description.sponsorship | This work was supported by the Dutch Research Council (NWO) and Next Generation Infrastructures (NGInfra) under Grant 439.16.803. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Research in Transportation Business & Management | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Multi -modal freight transport mode choice | es_ES |
dc.subject | Fuzzy logic | es_ES |
dc.subject | Delphi method | es_ES |
dc.subject | Investment planning | es_ES |
dc.subject | Policy design and testing | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Mode choice support through an integrated Delphi-fuzzy logic model | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.rtbm.2023.101061 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NWO/Next Generation Infrastructures (oud) Responsive Innovations Call for proposals/439.16.803/NL/Responsive Infrastructure Through Responsive Institutions (RITRI)/ | es_ES |
dc.rights.accessRights | Embargado | es_ES |
dc.date.embargoEndDate | 2025-11-30 | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Asgarpour, S.; Hartmann, A.; Morillas, S.; Santos, J. (2024). Mode choice support through an integrated Delphi-fuzzy logic model. Research in Transportation Business & Management. 52. https://doi.org/10.1016/j.rtbm.2023.101061 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.rtbm.2023.101061 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 52 | es_ES |
dc.relation.pasarela | S\513765 | es_ES |
dc.contributor.funder | Netherlands Organization for Scientific Research | es_ES |