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研究以全国首个创新驱动发展示范市保定市为例,基于第二、三次经济普查数据,运用核密度估计、最邻近层次聚类与空间句法等方法探讨2008~2013年城市内部知识密集型服务业的时空格局。结果表明:就面状空间而言,(1)行业整体的城市中心区指向明显,且在京广铁路两侧出现越发明显空间分异现象,其主要热点区的演变兼具路径依赖与增长点带动特征。(2)不同类型企业的时空格局存在成对相似性。其中,金融业与科技服务业在两次普查期间均具备向外扩展与向心集聚并存的发展模式,不仅集聚区域面积增幅显著,主要热点区也由单一转向多元。商务服务业与科技服务业的发展模式则以集约式集聚为主,集聚区域的面积出现收缩,但主要热点区所包含的企业数量与密度却成倍增长。就线性时空格局而言,(1)行业整体与不同类型企业均表现出较为清晰的层级结构,而这种结构也在两次普查期间逐渐趋同。(2)企业区位选择更加注重所在道路的“可达”而非“通过”能力。
Based on the data of the second and third economic censuses, this study uses the methods of nuclear density estimation, nearest neighbor level clustering and spatial syntax to explore the internal knowledge-intensive services in cities from 2008 to 2013 Space-time pattern of industry. The results show that: (1) In terms of planar space, (1) the central urban area of the industry as a whole points clearly, and more and more obvious spatial differentiation appears on both sides of the Jing-Guang Railroad. The evolution of its main hotspot areas is both path dependence and growth point Drive features. (2) There is a pair of similarities in the space-time pattern of different types of enterprises. Among them, the financial services industry and technology service industry all enjoyed the mode of outward expansion and agglomeration in both censuses. Not only did the area of agglomeration increase by a large margin, but also the major hot spots shifted from single to pluralism. The development mode of business service and technology service is dominated by intensive agglomeration, while the area of agglomeration shrinks, but the number and density of enterprises included in major hotspots doubled. In terms of the linear space-time pattern, (1) the industry as a whole and the different types of enterprises show a relatively clear hierarchy, and the structure gradually converges during the two censuses. (2) The choice of business location pays more attention to the “reachable” rather than the “through” ability of the road in which it is located.