地铁站点客流特征与土地利用关系研究

讨论轨道交通站点客流的时间变化规律,根据客流的时序特征,利用时间序列聚类的K-means算法对轨道交通站点进行分类,对比不同类别站点的客流差异,同时探究轨道交通站点早晚高峰进出站客流与站点周围用地密度之间的相关关系,在考虑空间相关性的基础上,采用地理加权回归定量计算回归方程,详细分析客流与用地之间的相关系数在空间的分布情况。通过分析为不同站点制定有针对性的运营管理措施,以及为轨道交通规划提供理论支持。

Relationship between Characteristics of Subway Passenger Flow and Land Use

This paper researches the characteristics of metro station ridership changed with the time. The subway stations are divided by using sequential K-means clustering algorithm based on the temporal distribution of metro station ridership. The distinctions between different categories are compared in this paper. A geographically weighted regression (GWR) model which considers the spatial correlation is built to quantitatively calculate the regression correlation to analyze the relationship between station-level ridership and land density around the station. The paper also provides the visual maps to explore the spatial distribution of the correlation coefficients. This study can provide theoretical basis to make specific operational management strategies and help the design of urban rail transit.