航空运输业是碳排放最大的行业之一，随着航空运输业的发展和环境保护管控的加强，航空运输业面临着巨大的环境压力。如何降低航空运输业的碳排放引起广泛的关注。机场场面航空器的滑行产生大量的碳排放，优化航空器的滑行是降低航空运输碳排放的重要途径。此外，为保证航空运输的安全性和高效性，机场场面的航空器滑行需要考虑滑行等待和滑行冲突等因素的影响。针对该问题，本文提出了一种基于碳排放的场面航空器时空滑行优化模型。通过在上层模型决策滑行路径，在下层模型决策滑行时间，上下层交互优化使场面航空器滑行碳排放总量、进场航空器滑行等待时间和航空器滑行冲突最小。为提高模型求解质量，设计一种上下层模型交互优化的迭代邻域搜索算法，引入冲突解脱邻域算子和随机扰动算子来求解该模型。根据广州白云国际机场的实际运行数据验证所提出的模型和算法。实验结果表明：与采用最短滑行策略相比，在避免场面航空器滑行冲突的条件下，所提模型在一个半小时的规划期内可为47架航空器减少971 kg航空器碳排放量，占总量的1.8%。该研究可以在提高滑行效率和滑行安全性的同时，提供更环保的滑行策略，帮助航空运输业降低碳排放，提高航空运输的可持续性。

The aviation transportation industry is one of the largest industries of carbon emission. With the development of the aviation transportation industry and the strengthening of environmental regulations, the industry is facing enormous environmental pressure. How to reduce the carbon emissions of the air transport industry has attracted wide attention. Aircrafts taxiing in airport scene emits a lot of carbon. Therefor, optimizing aircraft taxiing is an important way to reduce aviation transportation carbon emissions. In addition, to ensure the safety and efficiency of aviation transportation, taxiing on the airport apron must also consider factors such as taxiing waiting time and taxiing conflicts. To solve this problem, this paper proposed an optimization model of space-time taxiing of aircraft considering carbon emission. By deciding the taxiing path in the upper model and the taxiing time in the lower model, the upper and lower interactive optimization minimizes the total carbon emission of aircraft taxiing, the taxiing waiting time of approach aircrafts and the conflict of aircraft taxiing. To improve the quality of the model solutions, an iterative neighborhood search algorithm based on the interaction optimization of upper and lower models was designed to solve the model and the conflict-free neighborhood operator and stochastic perturbation operator were introduced. The proposed model and algorithm were validated with actual operational data from Guangzhou Baiyun International Airport. The experimental results show that compared with the shortest taxiing strategy, the proposed model reduced the total carbon emission for 47 aircrafts by 971 kg, accounting for 1.8% of the total carbon emissions, in the planning period of one and a half hours under the condition of avoiding aircraft taxiing conflict. This research can provide a more environmentally friendly taxiing strategy while improving taxiing efficiency and safety, helping the aviation transportation industry reduce carbon emissions and achieve greater sustainability.