基于空间句法的轨交站点人流空间分布研究——以南京新街口为例

Study on Spatial Distribution of Population Flow in Rail Transit Station Based on Space Syntax:A Case of Nanjing Xinjiekou

轨道交通为市民的出行提供了极大的便利,然而随着城市发展和人口增长,站点空间需要进一步优化。为预测站点内人流的空间分布,研究将空间句法理论中的凸空间模型转换为距离模型,建立了一种评价平均步行距离的方法,并利用这一指标反映人流空间分布。平均步行距离指该空间到达全部目的空间的最近距离的平均值。研究发现,新街口站点整体步行距离合理,换乘效率高,能比较均匀地分散人流,但部分空间仍存在易拥堵、人流稀少、缺乏活力等问题。因此,提出重点提升局部运力、置入目的性空间、调整通道路径等优化策略。

Urban rail transit provides maximum convenience for citizens to travel.With urban development and population growth,station space needs to be further optimized.In order to predict the spatial distribution of population flow in the station,the convex space model in space syntax theory was transformed into the distance model,and a method to evaluate the average walking distance was established.This index is used to reflect the spatial distribution of population flow.The average walking distance for the space is the average of the nearest distance to all target space.It is found that the overall average walking distance of Xinjiekou station is reasonable,the transfer efficiency is high,and the population flow can be dispersed uniformly.However,there are still some problems such as easy congestion,few population flow and lack of vitality in some space.Therefore,optimization strategies such as improving local capacity,placing purpose space and adjusting channel path,etc.are proposed.