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Human or machine driving? Comparing autonomous with traditional vehicles value curves and motives to use a car

Author

Listed:
  • Fabio Antonialli
  • Bruna Habib Cavazza
  • Rodrigo Gandia
  • Isabelle Nicolaï

    (LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay)

  • Arthur de Miranda Neto
  • Joel Sugano
  • André Luiz Zambalde

Abstract

This study aims at drawing new value curves for Autonomous Vehicles (AVs) over Traditional Vehicles when considering AVs as a Product-Service System (PSS) as well as discussing the main reasons to use an AV over a traditional car. Data were collected based on secondary (academic and grey literature) and validated with AVs experts on France, Belgium, and Brazil. The results show the arrival of AVs would include different ownership forms; free time for users (no driving required); 'infotainment'; social integration of elders and handicapped people. We realize that AVs have in their business model several attributes that fit them into a new market perspective compared to the current mobility scenario. Also, we observed that as automation levels increase, machine driving components of the vehicle also increase. As conclusions, the reasons to use a car are likely to change with a decrease in symbolic and affective attributes and increase instrumental ones.

Suggested Citation

  • Fabio Antonialli & Bruna Habib Cavazza & Rodrigo Gandia & Isabelle Nicolaï & Arthur de Miranda Neto & Joel Sugano & André Luiz Zambalde, 2020. "Human or machine driving? Comparing autonomous with traditional vehicles value curves and motives to use a car," Post-Print halshs-03687616, HAL.
    • Handle: RePEc:hal:journl:halshs-03687616
    DOI: 10.1504/WRITR.2020.106918
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03687616
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    References listed on IDEAS

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