服务业区位选择的交通网络指向研究——以北京城市中心区为例

基于空间句法、核密度估计和皮尔森相关分析等方法,以北京城市中心区为例,结合空间句法轴线模型与百度POI（Points of Interest）数据,探讨服务业区位选择的交通网络指向规律。结果表明：①北京城市中心区的交通网络总体呈现“东优西劣、北优南劣、西南最劣”的空间格局,高层级网络则呈现“中心环状集聚—外围多极分布”的分布模式。②与高穿行度交通网络相比,高整合度交通网络的区位指向性更强,在不同尺度均更易诱发服务业的集聚。③总体而言,服务业区位选择的交通网络指向性明显,但不同类型服务业的区位指向程度依据研究尺度的不同具有显著差异,并据此将25类主要服务业划分为街区指向型、街道指向型、双重指向型和无指向型四类。本文对探索服务业集聚发展规律、提高服务业和交通网络规划的科学性具有参考意义,并可为北京城市中心区服务业存量优化提供决策依据。

Traffic network point of services location choice:a case study of the central city area of Beijing

Using space syntax, kernel density estimation, and Pearson correlation analysis methods, this research combines the segment lines model of space syntax and Baidu POI data to explore the traffic network point of services location choice in the central city area of Beijing. The results indicate that (1) the traffic network is well connected, accessible, and dense in east and north, relatively poorly connected and sparse in west and south, and most poorly connected in southwest. The overall network shows the spatial pattern of annular agglomeration in the inner city and polycentric distribution in the periphery. (2) Compared to traffic network with high connectivity NACH(Normalised Angular Choice), traffic network with high level of integration NAIN (Normalised Angular Integration) has stronger level of point of services location choice and is more likely to induce agglomeration of services.(3) Traffic network point of services location choice is clear but the point levels of different services are remarkably different at different scales. Therefore, the services are divided into four types, including point at the neighborhood scale; point at the street scale; point at both scales, and nonpoint. This research provides some reference that facilities the understanding of services agglomeration and helps to improve services and traffic network planning and decision-making for optimizing urban structure of the central city area of Beijing.