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User Automotive Powertrain-Type Choice Model and Analysis Using Neural Networks

Author

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  • Fabio Luis Marques dos Santos

    (Joint Research Centre (JRC), European Commission, 21027 Ispra, Italy)

  • Paolo Tecchio

    (Joint Research Centre (JRC), European Commission, 21027 Ispra, Italy)

  • Fulvio Ardente

    (Joint Research Centre (JRC), European Commission, 21027 Ispra, Italy)

  • Ferenc Pekár

    (Joint Research Centre (JRC), European Commission, 21027 Ispra, Italy)

Abstract

This paper presents an artificial neural network (ANN) model that simulates user’s choice of electric or internal combustion engine automotive vehicles based on basic vehicle attributes (purchase price, range, operating cost, taxes due to emissions, time to refuel/recharge and vehicle price depreciation), with the objective of analyzing user behavior and creating a model that can be used to support policymaking. The ANN was trained using stated preference data from a survey carried out in six European countries, taking into account petrol, diesel and battery electric automotive vehicle attributes. Model results show that the electric vehicle parameters (especially purchase cost, range and recharge times), as well as the purchase cost of internal combustion engine vehicles, have the most influence on consumers’ vehicle choices. A graphical interface was created for the model, to make it easier to understand the interactions between different attributes and their impacts on consumer choices and thus help policy decisions.

Suggested Citation

  • Fabio Luis Marques dos Santos & Paolo Tecchio & Fulvio Ardente & Ferenc Pekár, 2021. "User Automotive Powertrain-Type Choice Model and Analysis Using Neural Networks," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:585-:d:477615
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    References listed on IDEAS

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    1. Siskos, Pelopidas & Capros, Pantelis & De Vita, Alessia, 2015. "CO2 and energy efficiency car standards in the EU in the context of a decarbonisation strategy: A model-based policy assessment," Energy Policy, Elsevier, vol. 84(C), pages 22-34.
    2. Patricia M. West & Patrick L. Brockett & Linda L. Golden, 1997. "A Comparative Analysis of Neural Networks and Statistical Methods for Predicting Consumer Choice," Marketing Science, INFORMS, vol. 16(4), pages 370-391.
    3. Jonatan J. Gómez Vilchez & Austin Smyth & Luke Kelleher & Hui Lu & Charlene Rohr & Gillian Harrison & Christian Thiel, 2019. "Electric Car Purchase Price as a Factor Determining Consumers’ Choice and their Views on Incentives in Europe," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    4. Pasaoglu, Guzay & Honselaar, Michel & Thiel, Christian, 2012. "Potential vehicle fleet CO2 reductions and cost implications for various vehicle technology deployment scenarios in Europe," Energy Policy, Elsevier, vol. 40(C), pages 404-421.
    5. Gnann, Till & Stephens, Thomas S. & Lin, Zhenhong & Plötz, Patrick & Liu, Changzheng & Brokate, Jens, 2018. "What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 158-164.
    6. Rongqiu Song & Dimitris Potoglou, 2020. "Are Existing Battery Electric Vehicles Adoption Studies Able to Inform Policy? A Review for Policymakers," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    7. Harrison, Gillian & Thiel, Christian, 2017. "An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 165-178.
    8. Silvia, Chris & Krause, Rachel M., 2016. "Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model," Energy Policy, Elsevier, vol. 96(C), pages 105-118.
    9. Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
    10. Choi, Hyunhong & Shin, Jungwoo & Woo, JongRoul, 2018. "Effect of electricity generation mix on battery electric vehicle adoption and its environmental impact," Energy Policy, Elsevier, vol. 121(C), pages 13-24.
    11. David L. McCollum & Charlie Wilson & Michela Bevione & Samuel Carrara & Oreane Y. Edelenbosch & Johannes Emmerling & Céline Guivarch & Panagiotis Karkatsoulis & Ilkka Keppo & Volker Krey & Zhenhong Li, 2018. "Interaction of consumer preferences and climate policies in the global transition to low-carbon vehicles," Nature Energy, Nature, vol. 3(8), pages 664-673, August.
    12. Moon, Saedaseul & Lee, Deok-Joo, 2019. "An optimal electric vehicle investment model for consumers using total cost of ownership: A real option approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    13. Haq, Gary & Weiss, Martin, 2016. "CO2 labelling of passenger cars in Europe: Status, challenges, and future prospects," Energy Policy, Elsevier, vol. 95(C), pages 324-335.
    14. Li, Wenbo & Long, Ruyin & Chen, Hong & Geng, Jichao, 2017. "A review of factors influencing consumer intentions to adopt battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 318-328.
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