Exploring spatial path dependence in industrial space with big data: A case study of Beijing
文献类型：期刊论文
| 作者 | Yang, Zhenshan2,3; Wu, Di2,3; Wang, Dawei1 |
| 刊名 | CITIES
 |
| 出版日期 | 2021 |
| 卷号 | 108页码:11 |
| 关键词 | Spatial path dependence Big data Machine learning Information services industry Beijing |
| ISSN号 | 0264-2751 |
| DOI | 10.1016/j.cities.2020.102975 |
| 通讯作者 | Yang, Zhenshan(yangzs@igsnrr.ac.cn) |
| 英文摘要 | The notion of path dependence provides a useful perspective to understand the dynamics of industrial space. However, it is much developed on institutional and technological aspects. This paper proposes the idea of spatial path dependence, arguing that previous spatial distribution of economic activities and associated factors in a given industrial space shall affect current and future ones. Availing of big data technology, the spatial distribution is quantified, and spatial path dependence is examined by means of standard deviation ellipse and machine learning method for information service and its sub-sectors in Beijing during the periods of 2008 and 2013. The analysis shows an existence of spatial path dependence for those industries in the two periods. The dominant factors are screened out, which are differ in different sub-sectors and in different periods, but contribute to the same or similar spatial path. The findings call for the attention of the existing situation for industrial spatial planning, and new emerging "people-oriented" factors in influencing the spatial layout of information services industries. |
| WOS关键词 | INFORMATION ; EVOLUTION ; SYSTEMS |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040402] ; Natural Science Foundation of China[41530751] ; Early Career Talent Program of Chinese Academy of Sciences 'Youth Innovation Promotion Association CAS'[Y201815] ; Kezhen Talent Program of IGSNRR, CAS[2016RC101] |
| WOS研究方向 | Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:000597225500003 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; Natural Science Foundation of China ; Early Career Talent Program of Chinese Academy of Sciences 'Youth Innovation Promotion Association CAS' ; Kezhen Talent Program of IGSNRR, CAS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/137347]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Zhenshan |
| 作者单位 | 1.China Ctr Urban Dev, Beijing 100045, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev & Modelling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Zhenshan,Wu, Di,Wang, Dawei. Exploring spatial path dependence in industrial space with big data: A case study of Beijing[J]. CITIES,2021,108:11. |
| APA | Yang, Zhenshan,Wu, Di,&Wang, Dawei.(2021).Exploring spatial path dependence in industrial space with big data: A case study of Beijing.CITIES,108,11. |
| MLA | Yang, Zhenshan,et al."Exploring spatial path dependence in industrial space with big data: A case study of Beijing".CITIES 108(2021):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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