摘要
文章采用基于灰色白化权函数的高速铁路换乘节点聚类方法,解决常规方法定量评价能力不足的缺陷。从客运需求、路网属性、客运能力及社会属性等4个方面,建立江苏省高速铁路换乘节点评价体系,将江苏省高速铁路主要枢纽换乘车站分为首选路网性换乘节点、次选区域性换乘节点及一般地方性换乘节点等共计3类关键节点。成果可作为江苏省路网配置优化更新过程中的理论参考,为进一步完善江苏省路网规划评价体系提供助力。
In the paper,the high-speed railway transfer node clustering method based on gray albino weight function is adopted,which solves the shortcomings of insufficient quantitative evaluation ability of conventional methods.From four aspects,including passenger transport demand,road network attributes,passenger transport capacity and social attributes,the evaluation system of high-speed railway transfer nodes in Jiangsu Province is established,and the main hub transfer stations of Jiangsu high-speed railway are divided into three key nodes,such as preferred road network transfer nodes,secondary regional transfer nodes and general local transfer nodes.The results can be used as a theoretical reference in the process of road network configuration optimization and update in Jiangsu Province,and provide assistance for further improving the road network planning and evaluation system in Jiangsu Province.
作者
蒋洁滢
熊舒威
JIANG Jie-ying;XIONG Shu-wei
出处
《智能城市》
2023年第4期122-125,共4页
Intelligent City
关键词
灰色白化权函数
聚类分析
高速铁路
换乘节点
分类研究
grey whitening weight function
clustering analysis
high-speed railway
transfer nodes
classification research
