Innovative framework for selecting sustainable hydrogen refueling station sites: Integrating resilience and interdependence

초록

The global transition to hydrogen-powered cities necessitates robust hydrogen infrastructure to ensure widespread adoption of hydrogen fuel cell vehicles (HFCVs). This study proposes an optimized hydrogen refueling station (HRS) site selection model that integrates resilience and interdependence factors to enhance urban infrastructure sustainability. Unlike conventional approaches, which primarily focus on GIS-based spatial analysis and multicriteria decision analysis (MCDA), our framework employs an advanced maximal covering location problem (MCLP) model to quantify resilience constraints and dynamically assess interdependence factors. Sensitivity analysis demonstrates that adjusting stakeholder-specific weights significantly influences optimal site distribution, highlighting the adaptability of the model to various urban conditions. When applied to Seoul, South Korea, the proposed model achieved a substantial improvement in HRS spatial coverage (121.67 %) while ensuring regulatory compliance and minimizing urban disruption. These findings establish a scalable decisionmaking framework, contributing to the global master plan for hydrogen cities by providing a systematic approach for optimizing hydrogen infrastructure development worldwide.

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