A DEA Approach to Evaluate the Performance of the Electric Mobility Deployment in European Countries

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Operational Research (IO 2021)

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Abstract

This work aims to assess the performance of European countries on the deployment of low-emission vehicles in road transportation. For this purpose, a model based on Data Envelopment Analysis (DEA) is used to calculate a composite indicator for several European countries, aggregating seven sub-indicators built from a data set for the 2019 year. Various virtual weight restrictions schemes of the sub-indicators are studied to explore the robustness of the performance results. By adopting the most robust scheme, the performance results obtained indicate that most European countries have the potential to improve their practices towards better road transport sustainability, by emulating the best practices observed in the four identified benchmarks. Thus, the inefficient countries should take measures to better support the market share of plug-in electric vehicles. In addition, the railway sector and the penetration of renewable energies should be enhanced to improve road transportation sustainability.

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Correspondence to Clara B. Vaz .

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Vaz, C.B., Ferreira, Â.P. (2023). A DEA Approach to Evaluate the Performance of the Electric Mobility Deployment in European Countries. In: Almeida, J.P., Geraldes, C.S., Lopes, I.C., Moniz, S., Oliveira, J.F., Pinto, A.A. (eds) Operational Research. IO 2021. Springer Proceedings in Mathematics & Statistics, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-031-20788-4_14

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