Centre of Expertise Applied Artificial Intelligence

A conceptual representation of short-term and long-term decision-making in the roll-out and exploitation of public EV charging infrastructure in Dutch neighborhoods

Article

Charging infrastructure in neighborhoods is essential for inhabitants who use electric vehicles. The development of public charging infrastructure can be complex because of its dependency on local grid conditions, the responsibility to prepare for anticipated fleet growth policies, and the implicit biases that may occur with the allocation of charging resources. How can accessible EV charging be ensured in the future, regardless of energy infrastructure and socio-economic status of the neighborhood? This study aims to represent the decision-making in the allocation of public charging infrastructure and ensure that various key issues are accounted for in the short-term and long-term decision making. The paper first identifies these issues, then describes the decision-making process, and all of these are summarized in a visual overview describing the short-term and long-term decision loop considering various key indicators. A case study area is identified by comparing locally available data sources in the City of Amsterdam for future simulation.

Reference van der Koogh, M., Chappin, E., Heller, R., & Lukszo, Z. (2023). A conceptual representation of short-term and long-term decision-making in the roll-out and exploitation of public EV charging infrastructure in Dutch neighborhoods. Transportation Research Procedia, 70, 178-187. https://doi.org/10.1016/j.trpro.2023.11.017
Published by  Faculty of Technology 1 January 2023

Publication date

Jan 2023

Author(s)

Mylene van der Koogh
Emile Chappin
Zofia Lukszo

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