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

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  • 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.

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  • 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
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    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. 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.
    3. 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.
    4. 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).
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    2. Mehrotra, Ankit & Agarwal, Reeti & Khalil, Ashraf & Alzeiby, Ebtesam Abdullah & Agarwal, Vaishali, 2024. "Nitty-gritties of customer experience in metaverse retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    3. 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).
    4. Kuo, Hsin-Tsz & Choi, Tsan-Ming, 2024. "Metaverse in transportation and logistics operations: An AI-supported digital technological framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    5. Lnenicka, Martin & Rizun, Nina & Alexopoulos, Charalampos & Janssen, Marijn, 2024. "Government in the metaverse: Requirements and suitability for providing digital public services," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    6. Latino, Maria Elena & De Lorenzi, Maria Chiara & Corallo, Angelo & Petruzzelli, Antonio Messeni, 2024. "The impact of metaverse for business model innovation: A review, novel insights and research directions," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    7. Bennett, Roger & Vijaygopal, Rohini, 2024. "Exploring mobility and transportation technology futures for people with ambulatory disabilities: A science fiction prototype," Technovation, Elsevier, vol. 133(C).
    8. Shahzad, Khuram & Ashfaq, Muhammad & Zafar, Abaid Ullah & Basahel, Sarah, 2024. "Is the future of the metaverse bleak or bright? Role of realism, facilitators, and inhibitors in metaverse adoption," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    9. Wang, Shubin & Li, Jiabao & Lu, Quanying, 2024. "Optimization of carbon peaking achieving paths in China's transportation sector under digital feature clustering," Energy, Elsevier, vol. 313(C).
    10. Sorooshian, Shahryar, 2024. "Enhanced methodology to assess business research community serving extended realities movement," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    11. Jaung, Wanggi, 2022. "Digital forest recreation in the metaverse: Opportunities and challenges," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    12. Rajat Kumar Behera & Pradip Kumar Bala & Nripendra P. Rana, 2024. "Reaching new heights: investigating adoption factors shaping the moon landing of metaverse tourism," Information Technology & Tourism, Springer, vol. 26(2), pages 219-253, June.
    13. Markus Weinberger, 2022. "What Is Metaverse?—A Definition Based on Qualitative Meta-Synthesis," Future Internet, MDPI, vol. 14(11), pages 1-16, October.
    14. 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.
    15. Papadopoulos, Thanos & Pattanayak, Sirsha & Ramkumar, M., 2025. "Exploring the impact of metaverse adoption on sustainability outcomes in retail organizations: A dynamic capabilities view perspective," Technological Forecasting and Social Change, Elsevier, vol. 217(C).

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