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International Journal of Sustainable Transportation Volume 17, 2023 - Issue 2

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Extracting travel patterns from floating car data to identify electric mobility needs: A case study in a metropolitan area

Giuseppe BrancaccioDIATI - Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy

https://orcid.org/0000-0002-1025-7307 View further author information

Francesco Paolo DeflorioDIATI - Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, ItalyCorrespondence[email protected]
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Pages 181-197 | Received 27 Oct 2020, Accepted 31 Oct 2021, Published online: 04 Jan 2022

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https://doi.org/10.1080/15568318.2021.2004629
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Citations (3)

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Articles from other publishers (3)

Lorenzo Sica & Francesco Deflorio. (2023) Estimation of charging demand for electric vehicles by discrete choice models and numerical simulations: Application to a case study in Turin. Green Energy and Intelligent Transportation 2:2, pages 100069.
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Piero Macaluso. (2023) Estimating charging demand by modelling EV drivers' parking patterns and habits. European Transport/Trasporti Europei:90, pages 1-14.
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Davide La Gamba, Miriam Pirra, Francesco Deflorio, Luis Montesano, Angela Carboni & Maurizio Arnone. (2022) Discrete Choice Experiments to identify user preference for electric mobility. Discrete Choice Experiments to identify user preference for electric mobility.

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