To explore the temporal and spatial distribution law of civil air traffic control safety risk,this study used the Jieba word segmentation tool to perform Chinese word segmentation,identified the topics and keywords and document-topic distribution of civil air traffic control safety risks based on Latent Dirichlet Allocation(LDA)model,and defined the quantitative measurement index of the topic intensity of civil air traffic control safety risks.Then,the global spatial autocorrelation analysis method based on Moran's I statistic and the cold hot spot analysis based on Getis Ord G,*local statistic were used to study the spatiotemporal distribution pattern of civil air traffic control safety risk themes.The results are shown as follows:(1)the LDA model can identify 10 control safety risk topics,such as the risk of controller command error,the risk of flight plan error,and the risk of personnel security failure.(2)The global Moran's I statistic for the topic intensity of'risk of controller command error'is close to 0,indicating a weak global spatial autocorrelation.The global Moran's I index value shifts from negative to positive,and the topic intensity of controller command error risk shows a trend of development from a spatial discrete state to spatial aggregation.(3)During the period from 2018 to 2021,the global Moran's I overall showed a trend of fluctuation and growth.(4)From 2018 to 2021,the areas with a high concentration of topic intensity for'risk of controller command error'shifted from southwest to southeast,and the number of high-concentration areas decreased and became unstable.(5)Low-value clustering areas have shifted and remain stable after 2020.The spatiotemporal distribution pattern of air traffic control safety risks in different air traffic control areas of China's civil aviation from 2018 to 2021 was determined through global spatial autocorrelation analysis and cold hot spot analysis,providing decision-making support for differentiated safety supervision by the authorities.
safety engineeringtext miningspatio-temporal distribution lawsLatent Dirichlet Allocation(LDA)spatial autocorrelationAir Traffic Control(ATC)