The optimization research on air route networks is significant in achieving low-carbon and environmentally friendly operations. However, existing studies on air route networks often lack consideration for this objective. To address this gap, this study conducts an in-depth analysis of the existing problems in the air route networks in the central and southern regions. Based on this analysis, a green air route network optimization model is constructed, comprehensively considering the operational costs, flight conflicts, and emissions of greenhouse gases and pollutants in the aviation sector. Genetic algorithms are employed to solve the optimization model. The empirical analysis is then conducted using a selected portion of the air route networks in the central and southern regions. The experimental results demonstrate that the optimized air route network can significantly reduce operational costs and environmental impacts. Specifically, the optimized air route network achieves a 6.18% reduction in operational costs and a 6.20% decrease in greenhouse gas and pollutant emissions. Although the change in the flight conflict coefficient is minimal, there is overall improvement, thus validating the effectiveness of the proposed model.
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Niu et al. (2024) studied this question.
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