Budapest has emerged as one of Central Europe’s most advanced electric mobility hubs, supported by an expanding EV fleet and a growing network of charging stations. As electric vehicle adoption accelerates, there is a growing need for a comprehensive and strategic framework to guide the spatial expansion of charging infrastructure. This study introduces an integrated multi-criteria decision-making (MCDM) approach grounded in the Sustainable Urban Mobility Plan (SUMP) framework, employing a novel synthesis of the Analytic Hierarchy Process (AHP), the Criteria Importance Through Intercriteria Correlation (CRITIC) method, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. These methods were applied to evaluate twelve sub-criteria across four strategic domains: spatial demand, site feasibility, energy-grid integration, and institutional support, using structured input from twelve domain experts. Results demonstrate that energy integration and smart charging readiness exert a dominant influence across the system. The proposed novel framework fills a methodological gap by combining expert judgment, objective weighting, and causal modelling, offering a robust tool for evidence-based, scalable EV infrastructure planning.

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Strategic Evaluation of Urban Electric Vehicles Charging Infrastructure in Budapest Using Integrated Multi-Criteria Methods

  • Omar Alharasees,
  • Artūras Kilikevičius,
  • Utku Kale

摘要

Budapest has emerged as one of Central Europe’s most advanced electric mobility hubs, supported by an expanding EV fleet and a growing network of charging stations. As electric vehicle adoption accelerates, there is a growing need for a comprehensive and strategic framework to guide the spatial expansion of charging infrastructure. This study introduces an integrated multi-criteria decision-making (MCDM) approach grounded in the Sustainable Urban Mobility Plan (SUMP) framework, employing a novel synthesis of the Analytic Hierarchy Process (AHP), the Criteria Importance Through Intercriteria Correlation (CRITIC) method, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. These methods were applied to evaluate twelve sub-criteria across four strategic domains: spatial demand, site feasibility, energy-grid integration, and institutional support, using structured input from twelve domain experts. Results demonstrate that energy integration and smart charging readiness exert a dominant influence across the system. The proposed novel framework fills a methodological gap by combining expert judgment, objective weighting, and causal modelling, offering a robust tool for evidence-based, scalable EV infrastructure planning.