摘要
基于联网收费数据所记录的浙江省各城市高速公路出行基本特征,本文运用空间聚类分析与建立交通模型分析,得到不同尺度下的高速公路客货流空间分布特性以及主要客货流量数据,分析了不同城市、不同都市区的能级差异和联系紧密性。既为高速公路项目提出前期分析研判、建设项目预评估、建设时序安排的建议,也为提升高速公路网络的精细化运营管理及新一轮规划建设提供支撑。
Based on the basic characteristics of expressway travel in various cities in Zhejiang Province recorded by networked toll data, this paper uses spatial clustering analysis and traffic model analysis to obtain the spatial distribution characteristics of cars and trucks on expressways at different scales and the main flow data, and analyze the energy level differences and connections in different cities and metropolitan area.It not only provides suggestions for preliminary analysis and judgment, construction project pre-assessment, and construction timing arrangements for expressway projects, but also provides support for improving the refined operation management of the expressway network and a new round of planning and construction.
作者
钟璧樯
丁臻楠
宋予佳
ZHONG Biqiang;DING Zhennan;SONG Yujia(Hangzhou Transportation Planning and Design Institute,Hangzhou 310014,China;Zhejiang Comprehensive Transportation Big Data Center Co.Ltd.,Hangzhou 310020,China)
出处
《综合运输》
2022年第11期74-79,共6页
China Transportation Review
关键词
高速公路
联网收费数据
交通模型
出行特征
空间聚类分析
Expressway
Network toll collection
Traffic model
Travel characteristics
Spatial clustering analysis