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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F25%3A39923107" target="_blank" >RIV/00216275:25510/25:39923107 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.trpro.2025.10.014" target="_blank" >https://doi.org/10.1016/j.trpro.2025.10.014</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.trpro.2025.10.014" target="_blank" >10.1016/j.trpro.2025.10.014</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    Hydrogen-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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)

Result continuities

  • Project

    <a href="/en/project/EH23_021%2F0008402" target="_blank" >EH23_021/0008402: Multi-sector and Interdisciplinary Cooperation in Research and Development of Communication, Information and Detection Technologies for Control and Signalling Systems (CIDET)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Transportation Research Procedia

  • ISBN

  • ISSN

    2352-1457

  • e-ISSN

    2352-1465

  • Number of pages

    8

  • Pages from-to

    99-106

  • Publisher name

    Elsevier B.V.

  • Place of publication

    Amsterdam

  • Event location

    Záhřeb

  • Event date

    Dec 11, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article