To identify key factors influencing the flight gate boarding rate at airports, an indicator system was established

based on flight volume and structure, flight operations efficiency, airport operational efficiency, and contact stand

resources. The Spearman correlation coefficient and grey relational analysis (GRA) were used to analyze the correlation and impact significance between flight gate boarding rate and multi-dimensional indicators in terms of

their absolute values and monthly average change rates, and the correlation distribution characteristics of the factors influencing the flight gate boarding rate and the ranking of multivariate collaborative influencests are obtained. Results show that airports with higher flight gate boarding rate generally have fewer overnight flights,

shorter arrival delays, and a higher proportion of contact stands. Originating and overnight flights′ gate boarding

rate changes are highly synchronized with the overall rate, significantly boosting the airport′s total flight gate

boarding rate. Improving flight punctuality rate, shortening ground support time, and increasing contact stand resources all have a positive effect on the improvement of flight gate boarding rate. The ranking of factors influencing flight gate boarding rate from highest to lowest is: average daily turnover of contact stands, actual turnaround

time, overnight flight proportion, departure delay, daily contact stand flight load ratio, daily number of contact

stands used by C/D-class aircraft, airport departure clearance punctuality rate, and daily contact stand count.

flight gate boarding rate, influencing factors, Spearman correlation coefficient, grey relational analysis