土地利用因素对城市轨道交通车站客流的时空影响分析

通过建立城市轨道交通站点周边各类用地与客流的拟合模型,分析土地利用因素对客流的时空影响,为制订相关土地利用政策、合理组织站点客流提供依据。基于西安地铁4号线乘客出行特征数据,建立基于地理加权回归(GWR)的车站客流回归模型,量化分析了用地属性对车站客流的时空影响。结果表明:土地利用因素对早高峰出站客流、晚高峰进站客流的解释力较强;土地利用类型对客流的影响具有时空异质性,时间维度的变化与乘客出行目的有关,空间维度的变化与城市空间结构有关。与普通最小二乘回归模型相比,GWR模型能够刻画变量之间的空间异质性,具有更高的拟合精度。

Spatial-temporal Effects of Land Use Factors on Metro Station Passenger Flow

By establishing fitting models of various land use and passenger flow around urban rail transit stations,the temporal and spatial impact of land use factors on passenger flow is analyzed,providing basis for formulating relevant land use policies and rationally organizing station passenger flow.Based on the Xi′an Metro passenger travel characteristics data,the station passenger flow regression model based on geographic weighted regression(GWR)is established and the spatial-temporal effects of land use attributes on station are quantitatively analyzed.The results show that land use factors provide stronger explanation for morning peak hour exit passenger flow and evening peak hour entry passenger flow;the influence of land use types on passenger flow is heterogeneous in time and space,that the change in time dimension is related to the passenger travel pattern,and the change in spatial dimension is related to the urban spatial structure.Compared to the ordinary least squares regression model,the GWR model can characterize the spatial heterogeneity between variables and has a higher fitting accuracy.