| 摘要: |
| 基于网络大数据筛选出上海市人工智能（AI）企业信息,通过网络爬虫技术获取企业位置坐标,并运用空间分析和地理探测器,探讨了上海市人工智能企业空间集聚特征及影响因素.结果发现：（1）上海市人工智能企业形成了以张江为一级集聚核心,漕河泾周边地区和五角场为次级集聚核心的空间格局；（2）科技创新、GDP、外商投资、通达性和科学技术支出是上海市人工智能企业空间集聚的重要驱动因素；（3）各影响因子交互均出现了双因子增强或非线性增强的关系,其中核心交互因子是科技创新和通达性,人口密度与GDP、外商投资的交互影响力较大. |
| 关键词: 上海市 人工智能（AI） 空间集聚 地理探测器 |
| DOI：10.3969/J.ISSN.1000-5137.2023.06.015 |
| 分类号:TP 18；F 49 |
| 基金项目:国家自然科学基金（42171168） |
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| A research on spatial agglomeration of artificial intelligence industry in Shanghai |
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TANG Naixin, WANG Chengyun, LIU Xueru, CHEN Jinhao
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School of Environment Science and Geography, Shanghai Normal University, Shanghai 200234, China
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| Abstract: |
| In this paper,the information of artificial intelligence （AI） enterprises in Shanghai was filtered out based on network big data. The location coordinates of enterprises were obtained by web crawler technology,and the spatial clustering characteristics and influencing factors of AI enterprises in Shanghai were discussed by using spatial analysis and geographic detector. The results showed that： （1） Shanghai AI enterprises formed a spatial pattern with Zhangjiang as the first-level agglomeration core and Caohejing and Wujiaochang as the second-level agglomeration core. （2） Technological innovation,GDP,foreign investment,accessibility and science and technology expenditure were important driving factors of spatial agglomeration of AI enterprises in Shanghai. （3） The interaction of each influence factor was enhanced by two factors or nonlinear,among which the core interaction factors were scientific and technological innovation and accessibility. Besides,population density had a greater interactive influence on GDP and foreign investment. |
| Key words: Shanghai artificial intelligence（AI） spatial agglomeration geographic detector |
