基于SpaceP和K-means的货运航司航线网络特征分析研究

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中图分类号：TN919-34；TP31 文献标识码：A 文章编号：1004-373X（2026）01-0102-06

Research on cargo airline route network feature analysis based on SpacePandK-means

LUOFeng'e，WEI Changbo，HAN Xiaotong，GUO Lingyu （CollgeofAirTraffcManagement，CivilAviationFlight UniversityofChina，Guanghan6183O7，China）

Abstract：As theaircargo industryrapidly expands，the structure of aircargo networks has become increasingly complex. In viewof this，the paperconstructs acargo airlineroute network model using the Space Pmodeling methodand conducts anindepthanalysisof thenetwork withtheK-meansclustering algorithm.Keynetwork characteristicindicatorssuchasdegree， averagepathlengthusteringcoeficient，ndbetweennessareseletedtlasifytheouteetworkherarcicallyvealigthe complex featuresandhierarchical structureof thenetwork.Thesmall-worldcharacteristicsofthenetworkareassessed by simulation experiments，and the clustering results under different K values are obtained with the silhouette coefficient，so as to determinetheoptimalclusteringefects.Aditionall，therobustnessoftheroutenetworkunderattackissimulated，which indicatesthatinthecaseofacertainvulnerablenetwork，thispaperprovidesimportantinsightsfortheoptimizationand enhancement of the anti-risk capabilities ofcargo airlineroute networks.

KeyWords：air cargo;Space P;airline route network; complex network; clustering algorithm; network feature

0 引言

随着全球贸易的不断发展和物流需求的增加，航空货运业务扮演着愈发重要的角色。（剩余7579字）