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Development and evaluation of a data-driven decision support system for electric vehicle workplace charging

  • Data
DatasetData-driven decision support system for electric vehicle workplace charging
GeographyGermany
Sample size n=8 (interviews) & n=11 (surveys)
Data collectionNovember 2024 – May 2025
Data URLhttps://doi.org/10.5281/zenodo.17151001
CitationSeger, M., C. Brand, C. Clement, M.-F. Körner and C. Wilson (under review). “Navigating the Sustainable Mobility Transition: Designing a Data-Driven Decision Support System for Planning and Operating Electric Vehicle Workplace Charging Infrastructure”. Decision Support Systems. https://idoddle.org/seger-m-c-brand-c-clement-m-f-korner-and-c-wilson-navigating-the-sustainable-mobility-transition-designing-a-data-driven-decision-support-system/

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