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This is a Quantitative Study study (also classified as: Experimental Study).

Multi-objective optimization for multimodal transport path under the cap-and-trade policy to minimize cost, duration and carbon emission

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This analysis demonstrates reduced costs and carbon emissions in multimodal transport, highlighting carbon trading's regulatory impact.

The optimal solution reduces costs, duration, and carbon emissions by significant percentages compared to traditional transport modes.
Improvements in the algorithm yield excellent convergence and distribution performance on the Pareto front.
Carbon trading prices are crucial for optimizing multimodal transport paths and encourage a shift toward low-carbon options.
The proposed model serves as a foundation for effective decision-making in low-carbon, economical multimodal transport systems.

Xu et al. (2025) studied this question.

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