铁道标准设计2016，Vol.60Issue(7)：19-23,24,6.DOI:10.13238/j.issn.1004-2954.2016.07.005
基于改进TOPSIS模型的地铁网络节点重要性评价方法
Method of Identifying Influential Nodes of Subway Network Based on Improved TOPSIS
许海霖 1张晶1
作者信息
- 1. 首都师范大学资源环境与旅游学院，北京 100048
- 折叠
摘要
Abstract
It is significant to evaluate the importance of urban subway network nodes in the operation and management of urban traffic system. TOPSIS method is one of the multi-index comprehensive methods to evaluate the importance of nodes. But the existing TOPSIS methods have insufficiencies in estimating close degree when the importance of metro network nodes is evaluated and in the weighting algorithm when the features of network space are not concluded. In view of these issues, this paper puts forward corresponding improvement measures ∶ 1 ) with vertical distance and grey correlation degree to evaluate the close degree between the program and ideal solution; 2 ) design of local entropy weighting method suitable for the spatial network. At last, node importance of urban rail transit network of Beijing is evaluated with improved TOPSIS. The results show that the results obtained by improved TOPSIS method conform to the actual measurements and better than those with existing TOPSIS. The method is proved highly accurate and applicable.关键词
地铁网络/节点重要性/综合评价/空间局部熵权Key words
Urban rail transit network/Nodes importance/Comprehensive evaluation/Spatial local entropy weight分类
交通工程引用本文复制引用
许海霖,张晶..基于改进TOPSIS模型的地铁网络节点重要性评价方法[J].铁道标准设计,2016,60(7):19-23,24,6.
