IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02489797.html
   My bibliography  Save this paper

International benchmark on experimentations with Autonomous Shuttles for Collective Transport

Author

Listed:
  • Fabio Antonialli

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

Abstract

Based on an exploratory and descriptive quali/quanti research design, the present study aimed at performing a worldwide benchmark on experimentations with Autonomous Shuttles for Collective Transport (ASCT). Data was collected online on both academic and grey literature yielding a research corpus of 92 experimentations. Results show a European lead on both the number of experimentations and manufacturers, with highlights to the French startups Navya and EasyMile. Most of the sampled deployments have their services aimed towards public transportation business models being either showcases or trials, mainly offered free of charge to commuters (paid regular services were a minority). Regular-line transport system was the prevailing operational mode adopted, meanwhile, on-demand platform services were still present, but incipient. Eight main typologies of uses able to fulfill both private and public transport offerings were identified, being either focused on solving first-and last-mile issues and/or microtransit commute. Nine key-performance indicators were selected and divided into economic-and user-centered. At last, the main common stakeholders among all experimentations were identified, as well as how different forms of value (financial; usage; research; data) are created and distributed among them in order to promote sustained growth and evolution of the ecosystem.

Suggested Citation

  • Fabio Antonialli, 2019. "International benchmark on experimentations with Autonomous Shuttles for Collective Transport," Post-Print hal-02489797, HAL.
    • Handle: RePEc:hal:journl:hal-02489797
    Note: View the original document on HAL open archive server: https://centralesupelec.hal.science/hal-02489797v2
    as

    Download full text from publisher

    File URL: https://centralesupelec.hal.science/hal-02489797v2/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wright, Malcolm J. & Stern, Philip, 2015. "Forecasting new product trial with analogous series," Journal of Business Research, Elsevier, vol. 68(8), pages 1732-1738.
    2. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib Cavazza & Arthur Miranda Neto & Danilo Alves de Lima & Joel Yutaka Sugano & Isabelle Nicolai & Andre Luiz Zambalde, 2019. "Autonomous vehicles: scientometric and bibliometric review," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 9-28, January.
    3. Fabio Antonialli & Bruna Habib Cavazza & Rodrigo Marçal Gandia & Joel Yutaka Sugano & André Luiz Zambalde & Isabelle Nicolaï & Miranda-Neto Arthur, 2018. "Typologies of uses for Autonomous Vehicles as a Product-Service System," Post-Print hal-02489837, HAL.
    4. Lian, Zhaotong & Gu, Xinhua & Wu, Jinbiao, 2016. "A re-examination of experience service offering and regular service pricing under profit maximization," European Journal of Operational Research, Elsevier, vol. 254(3), pages 907-915.
    5. Jaagup Ainsalu & Ville Arffman & Mauro Bellone & Maximilian Ellner & Taina Haapamäki & Noora Haavisto & Ebba Josefson & Azat Ismailogullari & Bob Lee & Olav Madland & Raitis Madžulis & Jaanus Müür & S, 2018. "State of the Art of Automated Buses," Sustainability, MDPI, vol. 10(9), pages 1-34, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fabio Antonialli & Danielle Attias, 2019. "Social and economic impacts of Autonomous Shuttles for Collective Transport: an in- depth benchmark study," Post-Print hal-02489808, HAL.
    2. Roberto Battistini & Luca Mantecchini & Maria Nadia Postorino, 2020. "Users’ Acceptance of Connected and Automated Shuttles for Tourism Purposes: A Survey Study," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    3. Trotta, Manuel & Archetti, Claudia & Feillet, Dominique & Quilliot, Alain, 2022. "Pickup and delivery problems with autonomous vehicles on rings," European Journal of Operational Research, Elsevier, vol. 300(1), pages 221-236.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    2. 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.
    3. Olugbenga Oladinrin & Kasun Gomis & Wadu Mesthrige Jayantha & Lovelin Obi & Muhammad Qasim Rana, 2021. "Scientometric Analysis of Global Scientific Literature on Aging in Place," IJERPH, MDPI, vol. 18(23), pages 1-16, November.
    4. Jia Guo & Yusak Susilo & Constantinos Antoniou & Anna Pernestål Brenden, 2020. "Influence of Individual Perceptions on the Decision to Adopt Automated Bus Services," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    5. Tianlong Yu & Hao Yang & Xiaowei Luo & Yifeng Jiang & Xiang Wu & Jingqi Gao, 2021. "Scientometric Analysis of Disaster Risk Perception: 2000–2020," IJERPH, MDPI, vol. 18(24), pages 1-19, December.
    6. M. Eugenia López-Lambas & Andrea Alonso, 2019. "The Driverless Bus: An Analysis of Public Perceptions and Acceptability," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    7. Jiao Zhang & Qian Wang & Yiping Xia & Katsunori Furuya, 2022. "Knowledge Map of Spatial Planning and Sustainable Development: A Visual Analysis Using CiteSpace," Land, MDPI, vol. 11(3), pages 1-24, February.
    8. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    9. Faber, Koen & van Lierop, Dea, 2020. "How will older adults use automated vehicles? Assessing the role of AVs in overcoming perceived mobility barriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 353-363.
    10. Raj, Alok & Kumar, J. Ajith & Bansal, Prateek, 2020. "A multicriteria decision making approach to study barriers to the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 122-137.
    11. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
    12. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
    13. Amalia Polydoropoulou & Ioannis Tsouros & Nikolas Thomopoulos & Cristina Pronello & Arnór Elvarsson & Haraldur Sigþórsson & Nima Dadashzadeh & Kristina Stojmenova & Jaka Sodnik & Stelios Neophytou & D, 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    14. Eryarsoy, Enes & Delen, Dursun & Davazdahemami, Behrooz & Topuz, Kazim, 2021. "A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19," Journal of Business Research, Elsevier, vol. 124(C), pages 163-178.
    15. Md. Sazal Miah & Molla Shahadat Hossain Lipu & Sheikh Tanzim Meraj & Kamrul Hasan & Shaheer Ansari & Taskin Jamal & Hasan Masrur & Rajvikram Madurai Elavarasan & Aini Hussain, 2021. "Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends," Sustainability, MDPI, vol. 13(22), pages 1-38, November.
    16. Epting, Shane, 2021. "Ethical requirements for transport systems with automated buses," Technology in Society, Elsevier, vol. 64(C).
    17. Kang, Yanfei & Spiliotis, Evangelos & Petropoulos, Fotios & Athiniotis, Nikolaos & Li, Feng & Assimakopoulos, Vassilios, 2021. "Déjà vu: A data-centric forecasting approach through time series cross-similarity," Journal of Business Research, Elsevier, vol. 132(C), pages 719-731.
    18. Alberto Dianin & Elisa Ravazzoli & Georg Hauger, 2021. "Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    19. Mayukh Dass & Masoud Moradi & Fereshteh Zihagh, 2023. "Forecasting purchase rates of new products introduced in existing categories," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 385-408, September.
    20. Fabio Antonialli & Danielle Attias, 2019. "Social and economic impacts of Autonomous Shuttles for Collective Transport: an in- depth benchmark study," Post-Print hal-02489808, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02489797. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.