Carbon-Negative Transportation Corridors for the U.S. Interstate System – AI-Optimized Carbon-Negative Logistics Corridors Using Biofuels, Electrification, and CCS for Long-Haul Freight
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V6I4P110Keywords:
Carbon Negative Logistics Corridor, Interstate System Freight, Long Haul Decarbonization, Biofuel Supply Chains, Freight Electrification, Carbon Capture And Storage, Corridor Planning, Life Cycle Carbon Accounting, National Transportation Strategy, Net Zero 2050 GoalsAbstract
Freight transportation along the United States Interstate System remains one of the most difficult sectors to decarbonize, and current strategies focus largely on reducing emissions rather than achieving net negative outcomes. This study introduces a new concept known as a carbon-negative logistics corridor, which is designed to support long-haul freight while removing more carbon from the atmosphere than it emits. The research combines three complementary pathways: advanced biofuels, electrified freight systems, and carbon capture and storage integrated into major freight hubs. These elements are evaluated within a corridor planning and optimization framework that identifies where carbon-negative potential is strongest across the national interstate network. The methodology uses freight flow mapping, life cycle carbon accounting, infrastructure analysis, and multi-scenario comparison for selected corridors. The results show that a properly designed corridor can reach sustained net negative carbon performance by 2050, while also improving freight system efficiency and strengthening progress toward the United States Department of Transportation's 2050 climate goals. The findings highlight the importance of coordinated planning across energy systems, freight operations, and carbon removal infrastructure. The study provides a foundation for national-scale deployment of carbon-negative freight corridors and sets a direction for future work on regional integration, investment planning, and long-term system resilience
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