为科学定量评估机场场面运行效率，提出了一种考虑跑滑系统构型的离港航班场面滑行时间预测方法。首先，给出了场面滑行时间的定义，基于历史运行数据分析机场场面运行态势，梳理了更为准确的场面滑行时间影响因素；基于相关性分析结论构建了离港航班场面滑行时间的随机森林预测模型，并以石家庄正定机场和深圳宝安机场的实际运行数据为例，分析了不同跑滑系统构型下的场面滑行时间的特点。结果表明：除滑行距离以外，其他影响因素在不同跑滑系统构型下与机场场面滑行时间的相关性结果基本一致；考虑相同的影响因素时，单跑道机场比双跑道机场的场面滑行时间预测结果更佳；单跑道机场场面滑行时间趋近于无障碍滑出时间，双跑道机场场面滑行时间与无障碍滑出时间差异较大。研究结果对于提升机场场面运行效率和节能减排均有重要意义。

In order to scientifically assess the operational efficiency of airport surface movements, a departure flight taxi time prediction method considering runway and taxiway system configurations was proposed. Firstly, the definition of surface taxi time was provided, and an analysis of the historical operational data at the airport was conducted to identify more accurate factors influencing surface taxi-out time. Based on the conclusions drawn from correlation analysis, a random forest prediction model for departure flight surface taxi time was constructed. The method was illustrated using actual operational data from Shijiazhuang Zhengding Airport and Shenzhen Bao'an Airport, analyzing the characteristics of surface movement time under different runway system configurations. The results indicate that: Apart from taxi distance, the correlation results of factors influencing surface taxi-out time at airports with different runway and taxiway system configurations are generally consistent. When considering the same factors, the prediction of surface taxi time is better for single-runway airports compared to dual-runway airports. Surface taxi time at single-runway airports approaches unimpeded taxi time, while at dual-runway airports, there is a significant difference from unimpeded taxi time. The research findings are of significant importance for enhancing airport surface operation efficiency and achieving energy savings and emissions reduction.