PROGRESS IN GEOGRAPHY ›› 2015, Vol. 34 ›› Issue (8): 947-956.doi: 10.18306/dlkxjz.2015.08.002

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

SHEN Tiyan1(), ZHOU Lin1,*(), WANG Liwei2, LV Yongqiang3   

  1. 1. School of Government, Peking University, Beijing 100871, China
    2. School of Architecture, Tsinghua University, Beijing 100084, China
    3. School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
  • Online:2015-08-25 Published:2015-08-25
  • Contact: ZHOU Lin;


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.

Key words: services location choice, traffic network point, space syntax, Beijing, central city area