我国城市幼儿园空间布局适配性的现状、成因与优化建议
Situation,Reasons and Optimization Suggestions of Spatial Layout Suitability of Urban Kindergartens in China
蔡迎旗 1崔财艳 2资明贵 3张春艳1
作者信息
- 1. 华中师范大学教育学院,武汉 430079
- 2. 华中师范大学教育学院,武汉 430079;河南师范大学教育学部,新乡 453007
- 3. 陕西师范大学地理科学与旅游学院,西安 710119
- 折叠
摘要
供需适配的幼儿园空间布局是促进学前教育资源均衡配置的关键举措,能有效推动学前教育高质量发展.本研究以我国中部地区某省会城市主城区 759 所幼儿园为例,运用地理信息分析工具中的核密度估计、最近邻指数等方法,分别从"有园上""入园近""上好园""园幼共生"四个维度对幼儿园空间布局是否存在错配的核心议题进行深入剖析.研究发现:该市部分幼儿园空间分布存在欠适配现象,且形成了空间与结构错配的问题,其主要原因是资源投入层面的财政失衡、需求提出层面的逐优心理和城市规划层面的建设滞后.本文建议通过构建数字化管理平台、优化供需对接机制、加强配套园治理、加大治薄扶弱补缺的力度等措施,推动幼儿园空间布局从错配到适配的转换,从而促进区域学前教育公共服务一体化和高质量发展.
Abstract
A spatial distribution of kindergartens that matches supply and demand is a key measure for promoting a balanced allocation of preschool education resources,which can effectively promote the high-quality development of preschool education.This study provided insight into the primary question of whether there was a mismatch in the spatial layout of kindergartens by using kernel density estimation and nearest-neighbor index in ArcGIS,taking 759 kindergartens in urban areas of a capital city in central China as examples.The study found that the spatial distribution of partial urban kindergartens presented partial mismatch of spatial and structural.The main reasons for this were the financial imbalance of resource inputs,the meritocracy mentality of demand,and the construction delay of urban planning.To promate the integration and high-quality development of regional preschool education public services,the study suggested promoting the transformation of kindergarten spatial layout from mismatch to adaptation by building a digital management platform,optimizing the mechanism for matching supply and demand,strengthening the governance of complementary kindergartens,and enhancing efforts to address weaknesses and fill gaps.
关键词
幼儿园/空间布局/供需适配/高质量发展/优化建议Key words
kindergarten/spatial layout/supply and demand adaptation/high-quality development/optimization suggestion引用本文复制引用
基金项目
国家社会科学基金教育学重点课题(AHA200010)
出版年
2024
NETL
NSTL
万方数据