随着环境气候问题日益严峻，绿色低碳已成为航空运输业可持续发展的重要原则。以单跑道运输机场为研究对象，以绿色低碳、旅客步行距离为优化目标，构建多情景下绿色低碳停机位分配模型，并设计遗传-禁忌搜索组合优化算法求解，最后以中国东北部的运输机场为实例进行仿真实验。实验结果表明，与实际运行分配方案相比，若仅考虑绿色低碳，最优分配方案可减少3.1%的燃油消耗，减少3.1%的航空器滑行距离，减少4.2% HC、3.6% CO、3.1% NO_X、3.1% CO₂排放，但会提高5.3%的旅客步行距离；若同时兼顾绿色低碳和旅客利益，最优分配方案可减少2.1%的燃油消耗，减少2.2%的航空器滑行距离，减少3.8% HC、2.7% CO、2.0% NO_X、2.1%的CO₂排放，减少2.1%的旅客步行距离。可见绿色低碳发展的同时，仍可兼顾旅客利益。

With the increasingly serious problem of climate change, green and low-carbon operations have become an important principle for the sustainable development of the air transportation industry. Taking a single runway transport airport as the research object and green and low-carbon and passenger walking distance as the optimization objective, a green and low-carbon gate assignment model under multiple scenarios was constructed, and a genetic-tabu search combined optimization algorithm was designed to solve it. Finally, a transport airport in northeast China was taken as an example for simulation experiment. The experimental results are shown as follows. In the optimal assignment scheme, if considering green and low-carbon, the fuel consumption can be reduced by 3.1%, the taxiing distance of the aircraft by 3.1%, HC emission by 4.2%, CO emission by 3.6%, NO_X emission by 3.1%, and CO₂ emission by 3.1% comparatively. But passenger walking distance can be increased by 5.3% at the same time. If considering green and low-carbon as well as the interests of the passengers, the fuel consumption can be decreased by 2.1%, the taxiing distance of the aircraft by 2.2%, HC emission by 3.8%, CO emission by 2.7%, NO_X emission by 2.0%, CO₂ emission by 2.1%, and passenger walking distance by 2.1% comparatively. Thus, it is possible to strike a balance between green and low-carbon development and the interests of travelers.