摘要
公交作为城市交通的重要组成部分,是城市赖以生存的重要基础设施之一。以哈尔滨104路公交车作为研究对象,对104路公交车在高峰时进行集散量的随车调查,运用聚类分析法进行距离计算,绘制出聚类分析图。对公交站点进行分类,然后通过逐步回归法,应用SPSS统计分析软件建立同组各代表站点与其他站点的回归方程式,对104路公交车高峰期的站点客流量进行预测,取得很好的效果。
Bus, as an important part of the urban transportation, is one of the critical urban infrastructures. It studies the passenger collector-distributor volume of No. 104 bus of Harbin during the rush hour, of which the cluster analysis is used to calculate the distance and draw the cluster trend diagram. Then it classifies the bus stations and adoptes the stepwise regression and SPSS statistical analysis software to establish the regression equation for the representative stations and other ones, aiming to forecast the passenger flow. The research has achieved good results.
出处
《黑龙江工程学院学报》
CAS
2014年第3期27-31,共5页
Journal of Heilongjiang Institute of Technology
基金
黑龙江工程学院大学生创新训练项目(201311802069)
关键词
聚类分析法
公共交通
回归分析法
客流量
预测
cluster analysis
public transport
regression analysis
passenger flow
forecast
