摘要
本文基于2019年广州市个人专利申请数据,对个人创新空间分布进行研究,运用数据挖掘、空间落点和Moran'sⅠ(莫兰指数)计量等方法,聚焦于数据数量强度、创新类别双维度分析。研究发现广州市个人创新空间存在较强的集聚性,形成以天河区为创新主中心,白云区、番禺区为创新副中心的"一主二副"创新轴线格局。其中个人实用新型专利的分布相对于发明专利更广泛,对空间格局带动性更强;个人创新空间分布等级分化突出,实用新型空间分布较发明专利的中心—次中心结构更为明显,且具有离散均衡分布潜力,而发明专利的空间分布相关潜力不明显。
The paper studies the spatial distribution of personal innovation based on the personal patent application data in Guangzhou in 2019,uses data mining,spatial placement and Moran’sⅠindex measurement methods,and focuses on the two-dimensional analysis of the intensity of data and the innovation category.The study finds that there is a strong accumulation of personal innovation space in Guangzhou that forms the innovation axis pattern of“one main and two assistants”with Tianhe District as the main innovation center and Baiyun District and Panyu District as the assistant innovation centers.Compared with invention patents,the distribution of personal utility model patents is more extensive and has a stronger driving force on the spatial pattern.The spatial distribution of personal innovation is highly differentiated,and the spatial distribution of utility models is more obvious than the center-sub-center structure of invention patents,and has the potential for discrete and balanced distribution,while the correlation potential of the spatial distribution of invention patents is not obvious.
作者
戚路辉
陈苑仪
李建军
Qi Luhui;Chen Yuanyi;Li Jianjun(School of Architecture and Urban Planning,Guangzhou University,Guangzhou Guangdong 510206,China)
出处
《城市建筑》
2021年第13期50-55,共6页
Urbanism and Architecture
基金
广东省自然科学基金“广佛大都市区生产性服务业空间分布特征与企业生态聚集耦合研究”(2016A030313557)
广州市教育科学规划“信息时代本科生基础数据分析能力培养的实践研究——以城乡规划专业为例”(1201534004)。
关键词
个人创新空间
分布特征
专利数据
广州市
personal innovation space
distribution characteristics
patent data
Guangzhou
