Prescriptive analytics in public-sector decision-making: a framework and insights from charging infrastructure planning

DOI10.1016/j.ejor.2020.09.034zbMath1487.90454OpenAlexW3091236885WikidataQ100517812 ScholiaQ100517812MaRDI QIDQ2029989

Tobias Brandt, Sebastian Wagner, Dirk Neumann

Publication date: 4 June 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.09.034

zbMATH Keywords

decision support systemspublic valuesmart cityprescriptive analyticselectric mobility

Mathematics Subject Classification ID

Decision theory (91B06) Case-oriented studies in operations research (90B90) Discrete location and assignment (90B80)

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Cites Work

• Beta Regression for Modelling Rates and Proportions
• Robust portfolio modeling with incomplete cost information and project interdependencies
• Value-focused thinking: Identifying decision opportunities and creating alternatives
• Quantile regression metamodeling: toward improved responsiveness in the high-tech electronics manufacturing industry
• An efficient heuristic algorithm for the alternative-fuel station location problem
• Stock selection heuristics for interdependent items
• A branch\&cut approach to recharging and refueling infrastructure planning
• Linear Model Selection by Cross-Validation

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