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Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas

Author

Listed:
  • Marialisa Nigro

    (Department of Engineering, “Roma Tre” University, 00146 Rome, Italy)

  • Marina Ferrara

    (Department of Engineering, “Roma Tre” University, 00146 Rome, Italy)

  • Rosita De Vincentis

    (Department of Engineering, “Roma Tre” University, 00146 Rome, Italy)

  • Carlo Liberto

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Laboratory of Systems and Technologies for Sustainable Mobility, 00196 Rome, Italy)

  • Gaetano Valenti

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Laboratory of Systems and Technologies for Sustainable Mobility, 00196 Rome, Italy)

Abstract

This study focuses on a modeling framework to support mobility planners and energy providers in the sustainable development of electric mobility in urban areas. Specifically, models are provided to simulate measures for the optimal management of energy demand and thoughtful planning of charging infrastructures in order to avoid congestion on the power grid. The measures, and consequently the models, are classified according to short-term initiatives based on multimodality between electric vehicles and public transport (Park and Ride), as well as medium to long-term initiatives based on the development of an energy-oriented land use of the city. All the models are data-driven, and different sets of floating car data available for the city of Rome (Italy) have been exploited for this aim. The models are currently being implemented in an agent-based simulator for electric urban mobility adopted by the National Agency for Energy and Environment in Italy (ENEA).

Suggested Citation

  • Marialisa Nigro & Marina Ferrara & Rosita De Vincentis & Carlo Liberto & Gaetano Valenti, 2021. "Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas," Energies, MDPI, vol. 14(13), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3949-:d:586858
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    References listed on IDEAS

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    Cited by:

    1. Michel Noussan & Matteo Jarre, 2021. "Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region," Energies, MDPI, vol. 14(21), pages 1-19, November.
    2. Marcin Relich, 2023. "Predictive and Prescriptive Analytics in Identifying Opportunities for Improving Sustainable Manufacturing," Sustainability, MDPI, vol. 15(9), pages 1-14, May.
    3. Marcin Relich, 2023. "A Data-Driven Approach for Improving Sustainable Product Development," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    4. Nigro, Marialisa & Castiglione, Marisdea & Maria Colasanti, Fabio & De Vincentis, Rosita & Valenti, Gaetano & Liberto, Carlo & Comi, Antonio, 2022. "Exploiting floating car data to derive the shifting potential to electric micromobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 78-93.
    5. Romano Alberto Acri & Silvia Barone & Paolo Cambula & Valter Cecchini & Maria Carmen Falvo & Jacopo Lepore & Matteo Manganelli & Federico Santi, 2021. "Forecast of the Demand for Electric Mobility for Rome–Fiumicino International Airport," Energies, MDPI, vol. 14(17), pages 1-19, August.

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