Abstract

Basic education is about improving the quality of life of a country’s population and promote social cohesions, and it is also an important factor in shaping a country and region’s person-to-person relationship. This study analyzes the spatial morphological patterns, aggregation characteristics, and distribution inequality among kindergarten, elementary, and junior high schools within districts in Shanghai, using point of interest data, kernel density estimation, Ripley’s K-function, location quotient, and grid analysis to investigate the effect on the distribution of schools using construction land growth data. The findings were as follows. (1) There was little difference in the spatial distribution characteristics of the three school types. They all exhibited the spatial distribution characteristics of core area clustering and the coexistence of multiple circadian layers, in which both the agglomeration size and the aggregation intensity showed the order of kindergarten > elementary school > junior high schools. The spatial distribution characteristics of the three types of schools are highly positively correlated with the population distribution. (2) Spatially, low-level schools were adjacent to high-level schools, and the structure of the three school types showed an uneven distribution overall. The aggregation characteristics of the seven inner districts within Shanghai were relatively balanced, while Pudong District showed the phenomenon of being “high in the southeast and low in the northeast”, and the suburban areas showed an uneven distribution of core district aggregation overall. (3) The longer the construction land growth cycle, the greater the density of school points, and the more consistent the distribution of school points with the direction of construction land expansion.

Highlights

  • Schools are the basic units of education resource allocation

  • This study constructed a 2500-m grid based on points of interest (POI) point data from kindergarten, eleThis study constructed a 2500-m grid based on POI point data from kindergarten, mentary, and junior high schools in Shanghai using Colocation Quotient Analysis (CLQ) and Ripley’s K-function

  • The following conclusions are with the school POI point to explore the distribution patterns of the schools

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Summary

Introduction

Ensuring inclusive and equitable quality education is one of the United Nation’s Sustainable. Ensuring the inclusion and equality of basic education can improve the quality of the whole nation, promote social cohesion, and encourage economic competitiveness [8,9]. Schools are the basic units of education resource allocation. Their spatial pattern, along with all levels of school resource configuration, will affect the resource allocation in these regions [10], as their spatial distribution decides whether students can get education near their place of residence [11]. Focusing on the spatial distribution laws between kindergarten, elementary, and junior high schools as the main basic education types can help achieve the equilibrium distribution of resources in basic education

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