Quantifying environmental impact reductions through metaverse technologies in transportation: Metrics, Methodologies and Sustainability Outcomes
The metaverse has developed as a transformational digital ecosystem with far-reaching consequences for sustainability, especially in the transportation industry. This research critically examines the environmental effect reductions facilitated by metaverse technologies, focusing on key mechanisms such as virtual simulations, digital twins, remote work solutions, and logistics optimization. The findings demonstrate how these improvements help to reduce carbon emissions, minimize physical travel, and improve transportation efficiency. The paper examines key metrics and approaches for analysing environmental effect, such as Life Cycle Assessment (LCA), carbon footprint analysis, and digital twin simulations. Despite the metaverse's potential to enhance sustainability, variations in measurement and data availability impede significance quantification. Policy and industrial consequences stress the need for regulatory frameworks that promote green digital infrastructure and responsible metaverse development. The study also identifies limitations and risks, such as technological barriers, economic feasibility concerns, and resistance to virtual mobility adoption. Without sustainable manufacturing practices and robust e-waste recycling programs, the environmental benefits of the metaverse could be offset by increased digital infrastructure burdens. This paper concludes that while the metaverse presents a viable pathway to decarbonizing transportation, its full potential hinges on sustainable energy integration, global regulatory alignment, and further research into energy-efficient digital architectures.
Authors
- Kwaku Boakye (ORCID: https://orcid.org/0009-0008-2881-4125)
- Alliy Adewale Bello (ORCID: https://orcid.org/0009-0005-6617-8578)
- Mohammed Umar (ORCID: https://orcid.org/0000-0003-2462-1824)
- Daniel Kweku Assumang (ORCID: https://orcid.org/0009-0009-4227-5671)
- Samuel Yaw Larbi
- Josephine Akubilla
Publication Details
- Journal
- Magna Scientia Advanced Research and Reviews
- Published
- 2025-03-30
- DOI
- https://doi.org/10.30574/msarr.2025.13.2.0041
- Citations
- 1
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 2.44