摘要
为较客观地评价交通需求与经济发展的相关性,采用皮尔逊相关系数法和斯皮尔曼等级相关系数法模型对山东省各地市相关经济指标与所辖高速公路出入口的交通量进行相关性分析,进而确定影响区域交通量生成的主要社会经济指标。研究结果可为交通量预测中经济指标选取提供一种新的研究方法,有利于提高交通量预测精度及路网规划的科学性。
In order to objectively evaluate the correlation between traffic demand and economic development,Pearson correlation coefficient method and Spearman rank correlation coefficient method are used to analyze the correlation between the relevant economic indicators of each city in Shandong Province and the traffic volume at the entrance and exit of the expressway under its jurisdiction,and then the main social and economic indicators that affect the generation of regional traffic volume are determined.The research result can provide a new research method for the selection of economic indicators in traffic volume forecasting,which is conducive to improving the accuracy of traffic volume forecasting and the scientificity of road network planning.
作者
李胜利
纪文渤
王磊
LI Shengli;JI Wenbo;WANG Lei(Shandong Provincial Transportations Planning and Design Institute Co.,Ltd.,Jinan 250031,China)
出处
《交通科技与经济》
2021年第1期74-80,共7页
Technology & Economy in Areas of Communications
关键词
交通量预测
区域经济
皮尔逊相关系数
斯皮尔曼等级相关系数
显著性水平
traffic volume prediction
regional economy
Pearson correlation coefficient
Spearman rank correlation coefficient
significance level
