摘要
采用K-mediods法(K中心点法)以及SSE(组内平方误差)评判法,将14个高速公路收费站所分为4类,其小时交通量分布分别呈现单峰型、双峰型、全峰型以及多峰型,将分类结果与收费站所周边5km范围的POI(兴趣点)数量进行线性拟合分析,结果显示高速公路收费站所小时交通量分布特征与其周边用地属性显著相关,单峰型站所周边以工业用地为主,双峰型站所周边以工业、居住用地为主,全峰型、多峰型站所则靠近或处于城区,用地较为复杂。
14 expressway toll stations are divided into four categories by using K-mediods method(Kcenter point method)and SSE(intra-group square error)evaluation method,and their hourly traffic volume distribution presents single peak type,double peak type,full peak type and multi peak type respectively.The classification results are linearly fitted with the number of POI(points of interest)within 5km around the toll station.The results show that the hourly distribution characteristics of traffic volume at expressway toll stations are significantly related to the surrounding land attributes.The single peak stations are mainly industrial land,the double peak stations are mainly industrial and residential land,and the full peak and multi peak stations are close to or in the urban area,with more complex land.
作者
李慧颖
武亚鹏
许熳灵
李婷
Li Huiying;Wu Yapeng;Xu Manling;Li Ting(Central South Survey Design Institute Group Co.,Ltd.,Wuhan 430073,China)
出处
《北方交通》
2021年第12期40-43,47,共5页
Northern Communications
关键词
高速公路
聚类分析
数据标准化
线性回归
收费站所
Expressway
Cluster analysis
Data standardization
Linear regression
Toll station