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Hydrogen Refueling Station Selection Using the AROMAN Method: A Case Study in the Pardubice Region

Článekopen accesspeer-reviewedpublished
dc.contributor.authorBošković, Sara
dc.contributor.authorŠvadlenka, Libor
dc.contributor.authorDobrodolac, Momčilo
dc.contributor.authorJovčić, Stefan
dc.contributor.authorChatterjee, Prasenjit
dc.contributor.authorBauer, Libor
dc.date.accessioned2025-11-21T13:32:40Z
dc.date.issued2025
dc.description.abstractHydrogen-powered vehicles are emerging as a promising mode of transportation, aligned with the principles of sustainable societal development. Establishing hydrogen refueling stations is an ongoing endeavor, with an expected growth in the number of hydrogen-powered vehicles soon. This paper addresses the challenge of selecting a hydrogen refueling station from a driver’s perspective. The proposed methodology is designed as a decision support tool for drivers and can be integrated, for example, as a background program within a mobile phone application. To assist drivers in selecting the most suitable hydrogen refueling station, a recently developed multi-criteria decision-making (MCDM) method known as the Alternative Ranking Order Method Accounting Two-Step Normalization (AROMAN) has been employed. Several criteria are considered in the decision-making process, including the driver’s distance to the station, travel time to the charger, expected wait time if the charger is occupied, and the number of available chargers at each station. The problem is addressed for the Pardubice Region in the Czech Republic to demonstrate the practicality of the proposed approach. The available alternatives for the driver’s choice include the hydrogen refueling stations in Pardubice, Chrudim, and Třemošnice. The results obtained from the proposed approach identify the Chrudim refueling station as the optimal solution in this specific case. Comparative analyses are conducted with other MCDM methods such as the Additive Ratio Assessment (ARAS) and Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS), demonstrating high confidence in the results.eng
dc.formatp. 99-106eng
dc.identifier.doi10.1016/j.trpro.2025.10.014
dc.identifier.issn2352-1465
dc.identifier.issn2352-1457
dc.identifier.orcidBauer, Libor: 0000-0003-0122-9467
dc.identifier.orcidBošković, Sara: 0000-0002-0331-4262
dc.identifier.orcidŠvadlenka, Libor: 0000-0001-6484-6660
dc.identifier.orcidDobrodolac, Momčilo: 0000-0001-8112-8329
dc.identifier.orcidJovčić, Stefan: 0000-0002-9162-2133
dc.identifier.orcidChatterjee, Prasenjit: 0000-0002-7994-4252
dc.identifier.urihttps://hdl.handle.net/10195/87502
dc.language.isoeng
dc.peerreviewedyeseng
dc.project.IDMŠMT/OP JAK/CZ.02.01.01/00/23_021/0008402/CZ/Mezisektorová a mezioborová spolupráce ve výzkumu a vývoji komunikačních, informačních a detekčních technologií pro řídicí a zabezpečovací systémy/CIDETcze
dc.publicationstatuspublishedeng
dc.publisherElsevier B.V.
dc.relation.ispartofTransportation Research Procedia. 2025, vol. 91. eng
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S235214652500674X
dc.rightsopen accesseng
dc.rights.licenceCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHydrogen-Powered Vehicleseng
dc.subjectSustainable Transportationeng
dc.subjectHydrogen Refueling Stationseng
dc.subjectMulti-Criteria Decision-Makingeng
dc.subjectAROMAN methodeng
dc.titleHydrogen Refueling Station Selection Using the AROMAN Method: A Case Study in the Pardubice Regioneng
dc.typearticleeng

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