北京测绘2026，Vol.40Issue(2)：137-141,5.DOI:10.19580/j.cnki.1007-3000.2026.02.001
动态网络模型的地铁网络关键节点识别
Dynamic network modeling for key node identification in subway networks
摘要
Abstract
The analysis of the dynamic characteristics of the urban transportation network is crucial to optimizing operational effi-ciency.Aiming at the static problems of subway network construction and analysis,this paper constructed a time-space train origin-destination service network(OD-TS)based on the Space-L model and introduced the travel arc and transfer arc in the time dimension to describe the dynamic characteristics of the subway network.By combining the subway and bus data in Nanchang City,the criticality of stations in different time periods was quantitatively analyzed using K-shell decomposition(K-Shell).The results show that Yongshu Road Station,Yangming Park Station,and Metro Building Station have significantly higher K-Shell values during peak hours,and some stations have obvious differences between weekdays and non-workdays,reflecting the structural heterogeneity and functional diversity of the network.This paper provides theoretical support for optimal allocation of transportation resources and multi-modal system modeling.关键词
城市交通/关键节点/地铁网络/复杂网络Key words
urban transportation/key node/subway network/complex network分类
天文与地球科学引用本文复制引用
覃渊渊,吴静,徐诗奕..动态网络模型的地铁网络关键节点识别[J].北京测绘,2026,40(2):137-141,5.基金项目
国家自然科学基金(41601416) （41601416）
