基于POI的城市影子教育机构空间格局及其影响因素——以兰州市主城区为例

doi:10.13959/j.issn.1003-2398.2020.06.012

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Abstract Shadow education, as a universal and special social phenomenon, has attracted the attention of pedagogy, management science and sociology. However, the research on the subject of shadow education from the spatial perspective is very weak. Therefore, understanding the spatial distribution of shadow education institutions based on a spatial perspective has important theoretical and practical significance. Based on the POI data, the spatial characteristics of the distribution of shadow education institutions and their influencing factors in the main city of Lanzhou were explored by using the GIS spatial analysis methods such as Kernel density estimation, Ripley's K(d) function, Location quotient and The Geographical Detector. The results show that:1) The distribution of shadow educational institutions in the main urban area of Lanzhou has obvious spatial aggregation characteristics; 2) Different types of shadow education institutions have different spatial distribution characteristics and the internal differences are large. 3) Specialized functional areas of various shadow education institutions have obvious differences, there are some mature streets showing the characteristics of multiple types of institution agglomeration; 4) The spatial distribution of shadow education institutions is mainly affected by many factors, such as urban residential area, business service environment, mainstream education institutions and traffic accessibility.

Key words： shadow educational institutions distribution pattern spatial agglomeration influencing factors main urban area of Lanzhou city

Received: 17 December 2019

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G40-052.2

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	Articles by authors
	LUO Zhan-fu
	GAO Xu
	ZHANG Yong-feng
	LI Lan

Cite this article:

LUO Zhan-fu,GAO Xu,ZHANG Yong-feng等. RESEARCH ON THE SPATIAL PATTERN AND INFLUENCING FACTORS OF URBAN SHADOW EDUCATION INSTITUTIONS BASED ON POI DATA: A CASE OF LANZHOU[J]. HUMAN GEOGRAPHY, 2020, 35(6): 95-105.

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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2020.06.012 OR http://rwdl.xisu.edu.cn/EN/Y2020/V35/I6/95

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