IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v182y2022ics004016252200302x.html
   My bibliography  Save this article

A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms

Author

Listed:
  • Pamucar, Dragan
  • Deveci, Muhammet
  • Gokasar, Ilgin
  • Tavana, Madjid
  • Köppen, Mario

Abstract

Metaverse comes from the meta-universe, and it is the integration of physical and digital space into a virtual universe. Metaverse technologies will change the transportation system as we know it. Preparations for the transition of the transportation systems into the world of metaverse are underway. This study considers four alternative metaverses: auto-driving algorithm testing for training autonomous driving artificial intelligence, public transportation operation and safety, traffic operation, and sharing economy applications to obtain sustainable transportation. These alternatives are evaluated on thirteen sub-criteria, grouped under four main aspects: efficiency, operation, social and health, and legislation and regulation. A novel Rough Aczel–Alsa (RAA) function and the Ordinal Priority Approach (OPA) method are used in the assessment model. We also present a case study to demonstrate the applicability and exhibit the efficacy of the assessment framework in prioritizing the metaverse implementation alternatives.

Suggested Citation

  • Pamucar, Dragan & Deveci, Muhammet & Gokasar, Ilgin & Tavana, Madjid & Köppen, Mario, 2022. "A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:tefoso:v:182:y:2022:i:c:s004016252200302x
    DOI: 10.1016/j.techfore.2022.121778
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016252200302X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2022.121778?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rusul Abduljabbar & Hussein Dia & Sohani Liyanage & Saeed Asadi Bagloee, 2019. "Applications of Artificial Intelligence in Transport: An Overview," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    2. Wang, Li-Na & Wang, Kai & Shen, Jiang-Long, 2020. "Weighted complex networks in urban public transportation: Modeling and testing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    3. Heylighen, Francis, 2017. "Towards an intelligent network for matching offer and demand: From the sharing economy to the global brain," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 74-85.
    4. Schmidt, Florian Alexander, 2019. "Crowdsourced production of AI Training Data: How human workers teach self-driving cars how to see," Working Paper Forschungsförderung 155, Hans-Böckler-Stiftung, Düsseldorf.
    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. Jaung, Wanggi, 2022. "Digital forest recreation in the metaverse: Opportunities and challenges," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    2. Ghosh, Indranil & Alfaro-Cortés, Esteban & Gámez, Matías & García, Noelia, 2023. "Do travel uncertainty and invasion rhetoric spur Metaverse financial asset? – Gauging the role of media influence," Finance Research Letters, Elsevier, vol. 51(C).
    3. Markus Weinberger, 2022. "What Is Metaverse?—A Definition Based on Qualitative Meta-Synthesis," Future Internet, MDPI, vol. 14(11), pages 1-16, October.
    4. Pannee Suanpang & Chawalin Niamsorn & Pattanaphong Pothipassa & Thinnagorn Chunhapataragul & Titiya Netwong & Kittisak Jermsittiparsert, 2022. "Extensible Metaverse Implication for a Smart Tourism City," Sustainability, MDPI, vol. 14(21), pages 1-19, October.

    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. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
    2. Catarina N. S. Silva & Justas Dainys & Sean Simmons & Vincentas Vienožinskis & Asta Audzijonyte, 2022. "A Scalable Open-Source Framework for Machine Learning-Based Image Collection, Annotation and Classification: A Case Study for Automatic Fish Species Identification," Sustainability, MDPI, vol. 14(21), pages 1-13, November.
    3. Mujtaba Ahsan, 2020. "Entrepreneurship and Ethics in the Sharing Economy: A Critical Perspective," Journal of Business Ethics, Springer, vol. 161(1), pages 19-33, January.
    4. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    5. Mochen Liao & Kai Lan & Yuan Yao, 2022. "Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 164-182, February.
    6. Zulamir Hassani, Afdhal & Yusoff, Fazirah & Wan Zain, Wan Nor Aisyah, 2021. "Fair and Responsible in Logistics IR 4.0," MPRA Paper 108432, University Library of Munich, Germany.
    7. Marya Butt & Ander de Keijzer, 2022. "Using Transfer Learning to Train a Binary Classifier for Lorrca Ektacytometery Microscopic Images of Sickle Cells and Healthy Red Blood Cells," Data, MDPI, vol. 7(9), pages 1-21, September.
    8. Rojanakit, Patcharapar & Torres de Oliveira, Rui & Dulleck, Uwe, 2022. "The sharing economy: A critical review and research agenda," Journal of Business Research, Elsevier, vol. 139(C), pages 1317-1334.
    9. Li Xiong & Chengwen Wang & Zhaoran Xu, 2022. "Supply and demand matching model of P2P sharing accommodation platforms considering fairness," Electronic Commerce Research, Springer, vol. 22(3), pages 951-978, September.
    10. Anne Bäro & Felix Toepler & Timo Meynhardt & Vivek K. Velamuri, 2022. "Participating in the sharing economy: The role of individual characteristics," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3715-3735, December.
    11. Sohani Liyanage & Hussein Dia & Rusul Abduljabbar & Saeed Asadi Bagloee, 2019. "Flexible Mobility On-Demand: An Environmental Scan," Sustainability, MDPI, vol. 11(5), pages 1-39, February.
    12. Jae-joon Chung & Hyun-Jung Kim, 2020. "An Automobile Environment Detection System Based on Deep Neural Network and its Implementation Using IoT-Enabled In-Vehicle Air Quality Sensors," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    13. Kun-Huang Huarng, 2018. "Entrepreneurship for Long-term Care in Sharing Economy," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 97-104, March.
    14. Jin, Hui & Liu, Yue & Wu, Telan & Zhang, Yanpei, 2022. "Site-specific optimization of bus stop locations and designs over a corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    15. Arash Najmaei & Zahra Sadeghinejad, 2023. "Green and sustainable business models: historical roots, growth trajectory, conceptual architecture and an agenda for future research—A bibliometric review of green and sustainable business models," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 957-999, February.
    16. Lu, Qing-Chang & Xu, Peng-Cheng & Zhang, Jingxiao, 2021. "Infrastructure-based transportation network vulnerability modeling and analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    17. Wang, Longjian & Zheng, Shaoya & Wang, Yonggang & Wang, Longfei, 2021. "Identification of critical nodes in multimodal transportation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    18. Tahmineh Ladi & Shaghayegh Jabalameli & Ayyoob Sharifi, 2022. "Applications of machine learning and deep learning methods for climate change mitigation and adaptation," Environment and Planning B, , vol. 49(4), pages 1314-1330, May.
    19. Eugène Loos & Maria Sourbati & Frauke Behrendt, 2020. "The Role of Mobility Digital Ecosystems for Age-Friendly Urban Public Transport: A Narrative Literature Review," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
    20. Pankov, Susanne & Schneckenberg, Dirk & Velamuri, Vivek K., 2021. "Advocating sustainability in entrepreneurial ecosystems: Micro-level practices of sharing ventures," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

    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:eee:tefoso:v:182:y:2022:i:c:s004016252200302x. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.