IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i15p4095-d252735.html
   My bibliography  Save this article

Living Lab as an Ecosystem for Development, Demonstration and Assessment of Autonomous Mobility Solutions

Author

Listed:
  • Andreja Pucihar

    (Faculty of Organizational Sciences, University of Maribor, 4000 Kranj, Slovenia)

  • Iztok Zajc

    (IBM Slovenia, 1000 Ljubljana, Slovenia)

  • Radovan Sernec

    (AV Living Lab, 1000 Ljubljana, Slovenia)

  • Gregor Lenart

    (Faculty of Organizational Sciences, University of Maribor, 4000 Kranj, Slovenia)

Abstract

Autonomous vehicles (AV) have the potential to disrupt the entire transport industry. AV may bring many opportunities as for example reduction of road accidents, less congestion on the roads, and a lower number of vehicles that are better utilized. Full AV also brings new social element as they enable mobility for all. In addition, the use of digital technologies in combination with AV introduces new business models in transportation, where the lines between car ownership, rental, and lease modes are more and more blurred. To explore the potential of AV in a smart city context, the AV Living Lab was created on the premises of BTC City in Ljubljana, Slovenia, in 2017. The AV Living lab was created to test and to learn about real-life solutions for implementation of AV. The underlying concept is BTC City as a Living lab innovation ecosystem, where the latest advanced technologies, business models, and services are tested with real users, real cars, on real roads over the real interactions in a cross-industry environment. In this paper, we describe the AV Living Lab concept and provide details of a specific use case—a large-scale pilot demonstration of AV and future mobility solutions. During the event, users participated in a survey and expressed their attitudes towards autonomous mobility. The results offer the first insights into the readiness of citizens for AV implementation and directs future actions needed for faster adoption of AV and future mobility solutions.

Suggested Citation

  • Andreja Pucihar & Iztok Zajc & Radovan Sernec & Gregor Lenart, 2019. "Living Lab as an Ecosystem for Development, Demonstration and Assessment of Autonomous Mobility Solutions," Sustainability, MDPI, vol. 11(15), pages 1-21, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4095-:d:252735
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/15/4095/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/15/4095/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob Goldenberg & Donald R. Lehmann & David Mazursky, 2001. "The Idea Itself and the Circumstances of Its Emergence as Predictors of New Product Success," Management Science, INFORMS, vol. 47(1), pages 69-84, January.
    2. Arto O Salonen & Noora Haavisto, 2019. "Towards Autonomous Transportation. Passengers’ Experiences, Perceptions and Feelings in a Driverless Shuttle Bus in Finland," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    3. Hohenberger, Christoph & Spörrle, Matthias & Welpe, Isabell M., 2016. "How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 374-385.
    4. Christina Pakusch & Gunnar Stevens & Alexander Boden & Paul Bossauer, 2018. "Unintended Effects of Autonomous Driving: A Study on Mobility Preferences in the Future," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    5. Lawrence D. Burns, 2013. "A vision of our transport future," Nature, Nature, vol. 497(7448), pages 181-182, May.
    6. Nielsen, Thomas Alexander Sick & Haustein, Sonja, 2018. "On sceptics and enthusiasts: What are the expectations towards self-driving cars?," Transport Policy, Elsevier, vol. 66(C), pages 49-55.
    7. Daziano, Ricardo A. & Sarrias, Mauricio & Leard, Benjamin, 2016. "Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles," RFF Working Paper Series dp-16-35, Resources for the Future.
    8. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    9. Bösch, Patrick M. & Becker, Felix & Becker, Henrik & Axhausen, Kay W., 2018. "Cost-based analysis of autonomous mobility services," Transport Policy, Elsevier, vol. 64(C), pages 76-91.
    10. Felix Becker & Kay W. Axhausen, 2017. "Literature review on surveys investigating the acceptance of automated vehicles," Transportation, Springer, vol. 44(6), pages 1293-1306, November.
    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. Hannes Thees & Harald Pechlaner & Natalie Olbrich & Arne Schuhbert, 2020. "The Living Lab as a Tool to Promote Residents’ Participation in Destination Governance," Sustainability, MDPI, vol. 12(3), pages 1-27, February.
    2. Leminen, Seppo & Rajahonka, Mervi & Wendelin, Robert & Westerlund, Mika & Nyström, Anna-Greta, 2022. "Autonomous vehicle solutions and their digital servitization business models," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

    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. Peng Jing & Gang Xu & Yuexia Chen & Yuji Shi & Fengping Zhan, 2020. "The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review," Sustainability, MDPI, vol. 12(5), pages 1-26, February.
    2. Perrine, Kenneth A. & Kockelman, Kara M. & Huang, Yantao, 2020. "Anticipating long-distance travel shifts due to self-driving vehicles," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. 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.
    4. Xiaobei Jiang & Wenlin Yu & Wenjie Li & Jiawen Guo & Xizheng Chen & Hongwei Guo & Wuhong Wang & Tao Chen, 2021. "Factors Affecting the Acceptance and Willingness-to-Pay of End-Users: A Survey Analysis on Automated Vehicles," Sustainability, MDPI, vol. 13(23), pages 1-12, November.
    5. Xu Kuang & Fuquan Zhao & Han Hao & Zongwei Liu, 2019. "Assessing the Socioeconomic Impacts of Intelligent Connected Vehicles in China: A Cost–Benefit Analysis," Sustainability, MDPI, vol. 11(12), pages 1-28, June.
    6. Saeed, Tariq Usman & Burris, Mark W. & Labi, Samuel & Sinha, Kumares C., 2020. "An empirical discourse on forecasting the use of autonomous vehicles using consumers’ preferences," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    7. Becker, Henrik & Becker, Felix & Abe, Ryosuke & Bekhor, Shlomo & Belgiawan, Prawira F. & Compostella, Junia & Frazzoli, Emilio & Fulton, Lewis M. & Guggisberg Bicudo, Davi & Murthy Gurumurthy, Krishna, 2020. "Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 105-126.
    8. Pettigrew, Simone & Dana, Liyuwork Mitiku & Norman, Richard, 2019. "Clusters of potential autonomous vehicles users according to propensity to use individual versus shared vehicles," Transport Policy, Elsevier, vol. 76(C), pages 13-20.
    9. Ishant Sharma & Sabyasachee Mishra, 2023. "Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements," Transportation, Springer, vol. 50(6), pages 2139-2192, December.
    10. Gu, Yewen & Goez, Julio C. & Mario, Guajardo & Wallace, Stein W., 2019. "Autonomous vessels: State of the art and potential opportunities in logistics," Discussion Papers 2019/6, Norwegian School of Economics, Department of Business and Management Science.
    11. Du, Manqing & Zhang, Tingru & Liu, Jinting & Xu, Zhigang & Liu, Peng, 2022. "Rumors in the air? Exploring public misconceptions about automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 237-252.
    12. Xing, Yingying & Zhou, Huiyu & Han, Xiao & Zhang, Meng & Lu, Jian, 2022. "What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    13. Wu, Jingwen & Liao, Hua & Wang, Jin-Wei, 2020. "Analysis of consumer attitudes towards autonomous, connected, and electric vehicles: A survey in China," Research in Transportation Economics, Elsevier, vol. 80(C).
    14. Hassan, Hany M. & Ferguson, Mark R. & Vrkljan, Brenda & Newbold, Bruce & Razavi, Saiedeh, 2021. "Older adults and their willingness to use semi and fully autonomous vehicles: A structural equation analysis11Revised manuscript prepared for publication at the special issue in Journal of Transport G," Journal of Transport Geography, Elsevier, vol. 95(C).
    15. Eric Williams & Vivekananda Das & Andrew Fisher, 2020. "Assessing the Sustainability Implications of Autonomous Vehicles: Recommendations for Research Community Practice," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    16. Liu, Peng & Ma, Yanjiao & Zuo, Yaqing, 2019. "Self-driving vehicles: Are people willing to trade risks for environmental benefits?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 139-149.
    17. Liu, Peng, 2020. "Positive, negative, ambivalent, or indifferent? Exploring the structure of public attitudes toward self-driving vehicles on public roads," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 27-38.
    18. Wang, Song & Li, Zhixia & Wang, Yi & Aaron Wyatt, Daniel, 2022. "How do age and gender influence the acceptance of automated vehicles? – Revealing the hidden mediating effects from the built environment and personal factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 376-394.
    19. Richter, Maximilian A. & Hagenmaier, Markus & Bandte, Oliver & Parida, Vinit & Wincent, Joakim, 2022. "Smart cities, urban mobility and autonomous vehicles: How different cities needs different sustainable investment strategies," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    20. Dubey, Subodh & Sharma, Ishant & Mishra, Sabyasachee & Cats, Oded & Bansal, Prateek, 2022. "A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 63-95.

    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:gam:jsusta:v:11:y:2019:i:15:p:4095-:d:252735. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.