Acknowledgment to the Reviewers of Journal of Environmental & Earth Sciences in 2025
2026-02-06
Eco-Innovation in Transportation: Linking Smart Vehicle Technologies with Environmental Sustainability
Authors
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Yan Xie
Hunan Financial & Industrial Vocational-Technical College, Hengyang 421002, China
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Mengwei Yang
Hunan Financial & Industrial Vocational-Technical College, Hengyang 421002, China
DOI:
https://doi.org/10.30564/jees.v8i3.13106Abstract
The decarbonization of transportation and environmental quality enhancement have become more and more reliant on eco-innovation, which incorporates both technological change and systemic coordination and governance. The review is a summary of the evidence that can be translated into environmental sustainability outcomes on how smart vehicle technologies, including electrified powertrains and vehicle-grid interfaces, connected and cooperative systems (Vehicle-to-Everything, V2X), automation and advanced automation, and Artificial Intelligence (AI)-enabled optimization can be transformed. Using a structured analytical framework linking technology capability to eco-innovation mechanisms and sustainability impacts, we reconcile findings across operational, well-to-wheel, and life-cycle boundaries. The literature indicates that electrification delivers strong local air-quality benefits and, in most contexts, substantial climate gains, but net outcomes depend on grid carbon intensity, charging time profiles, battery production, and end-of-life pathways, making managed charging and circularity pivotal complements. Connectivity and cooperative control improve energy efficiency primarily through coordination effects such as traffic smoothing, eco-routing, and platooning, yet benefits are non-linear and sensitive to penetration rates and infrastructure interoperability. Automation offers efficiency and safety co-benefits but exhibits the widest uncertainty because induced demand, empty travel, and mode substitution can offset per-vehicle improvements. AI-driven fleet optimization can reduce empty miles and extend component life, although computational and hardware overhead and rapid obsolescence can introduce trade-offs. We identify persistent gaps in comparability, non-exhaust emissions assessment, causal evaluation at scale, and equity-aware impact metrics, and propose a research and policy agenda emphasizing integrated Life Cycle Assessment (LCA) system modeling, standardized reporting, interoperable data governance, and demand management to secure durable environmental gains.
Keywords:
Eco-Innovation; Smart Vehicles; Vehicle Electrification; Connected and Automated Mobility; Life-Cycle SustainabilityReferences
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Xie, Y., & Yang, M. (2026). Eco-Innovation in Transportation: Linking Smart Vehicle Technologies with Environmental Sustainability . Journal of Environmental & Earth Sciences, 8(3), 126–153. https://doi.org/10.30564/jees.v8i3.13106
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Copyright © 2026 Yan Xie, Mengwei Yang
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