首页|基于地下物流系统的地铁网络节点重要度研究

基于地下物流系统的地铁网络节点重要度研究

扫码查看
电子商务高速发展,促进了物流行业的发展。为了缓解地上物流所面临的各种压力,将地下物流与地铁相结合构建地下物流网络是一种有效方法。识别地下物流网络中的关键站点对于提高整个网络的安全性及稳定性具有重大意义,因此,基于地下物流系统(ULS)对地铁网络中站点的重要度进行评价至关重要。综合考虑城市地铁网络中站点节点拓扑指标和影响地下物流发展的区域环境指标,用熵值-TOPSIS算法对地铁站点综合重要度进行排序,并以2022年底武汉市地铁为研究对象进行实例分析。结果表明,重要度排名靠前的地铁站点大部分为换乘站点,地理位置处于武汉市中心区域。相对于单一指标,使用该算法得到的评价结果更加客观全面。
Study on the Importance of Subway Network Node Based on Underground Logistics System
The rapid development of e-commerce has promoted the development of the logistics industry. In order to relieve various pressures faced by aboveground logistics,it is an effective method to build underground logistics network by combining underground logistics with subway. Identifying the key stations in the underground logistics network is of great significance to improve the security and stability of the whole network,so it is crucial to evaluate the importance of the stations in the subway network based on the underground logistics system ( ULS) . Considering the topological index of station nodes in the urban subway network and the regional environmental index affecting the development of underground logistics,the entropy-TOPSIS algorithm is used to rank the comprehensive importance of subway stations. Wuhan subway at the end of 2022 is taken as the research object for case study analysis. The results show that most of the subway stations in the highest importance ranking are transfer stations and geographically located in the central area of Wuhan. Compared with single index,the evaluation results obtained by using this algorithm are more objective and comprehensive.

complex networkunderground logistics systementropy value-TOPSIS algorithmnode importance

余淑均、冯秀清

展开 >

武汉科技大学 管理学院,湖北 武汉 430065

复杂网络 地下物流系统 熵值-TOPSIS算法 节点重要度

2024

物流工程与管理
中国仓储协会 全国商品养护科技情报中心站

物流工程与管理

影响因子:0.412
ISSN:1674-4993
年,卷(期):2024.46(7)