兰州市主城区幼儿园入学可达性及影响因素分析

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Analysis of accessibility and influencing factors of kindergarten enrollment in the main urban area of Lanzhou City

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doi:10.12118/j.issn.1000-6060.2024.408

Abstract:

Accurately quantifying the accessibility of kindergarten education is essential for evaluating the spatial allocation efficiency of resources, particularly in underrepresented areas of the education system. This study focuses on the main urban area of Lanzhou City, Gansu Province, China, utilizing data on kindergarten points of interest, school-age children, available places, and road grades. Using kernel density analysis and a multi-level-multi-travel mode Gaussian accessibility algorithm, we examine the agglomeration characteristics and accessibility of kindergartens at various levels. We also employ a spatial regression model and bivariate spatial autocorrelation to investigate the factors affecting accessibility distribution. The findings reveal that: (1) Kindergartens are distributed in “one core” and “four center” patterns, with density decreasing from east to west. Notably, densely populated areas in Xigu District are independently clustered. The classifications of provincial-level, municipal-level, district-level standard kindergartens, and general kindergartens predominantly exhibit the spatial distribution characteristics of a “single core”. (2) The accessibility of all kindergartens displays a spatial bias trending eastward, and “south-to-north”, and high accessibility areas are concentrated in Chengguan District and Qilihe District. The accessibility of kindergartens, based on their grades and quality, shows a “multi-center” structure, with general kindergartens reflecting the highest accessibility values, indicating their significant role in serving local enrollment. (3) Factors such as school-age population, family economic status, and kindergarten enrollment quotas influence school accessibility. By contrast, road network density and bus stop availability negatively affect accessibility, although this correlation is not significant. Kindergarten education fees also have a negative effect on accessibility.

Key words: kindergarten, spatial distribution, accessibility to enrollment, influencing factors, the main urban area of Lanzhou City

GUO Nianfa, WANG Lucang. Analysis of accessibility and influencing factors of kindergarten enrollment in the main urban area of Lanzhou City[J].Arid Land Geography, 2025, 48(6): 1043-1054.

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[1]	沙莉, 张小娟, 康丽颖. “幼儿园”概念的生成与流变——基于历史语义学的分析视角[J]. 教育研究, 2023, 44(9): 51-63.
	[Sha Li, Zhang Xiaojuan, Kang Liying. The creation and evolution of the concept of “Kindergarten”: Based on an analysis of historical semantics[J]. Educational Research, 2023, 44(9): 51-63. ]
[2]	李阿芳, 王小英. 我国学前教育供给主体变迁的历史发展逻辑——基于历史制度主义的视角[J]. 学前教育研究, 2021(12): 13-22.
	[Li A’fang, Wang Xiaoying. The development logic of the supply subjects of preschool education in China based on the perspective of historical institutionalism[J]. Studies in Early Childhood Education, 2021(12): 13-22. ]
[3]	柳倩. 我国学前教育推行公私合作模式的风险及其规避: 国际的视角[J]. 教育发展研究, 2016, 36(20): 34-40.
	[Liu Qian. How to control the risk of the implementation of public-private-partnership model in early childhood education in China: From the perspective of international concern[J]. Concern Educational Development Research, 2016, 36(20): 34-40. ]
[4]	程方平, 冯芳芳. 我国学前教育发展中政府角色的演变及影响因素[J]. 河北师范大学学报(教育科学版), 2024, 26(3): 114-124.
	[Cheng Fangping, Feng Fangfang. The evolution of the government’s role in the development of preschool education in China and its influencing factors[J]. Journal of Hebei Normal University (Educational Science Edition), 2024, 26(3): 114-124. ]
[5]	国家教育督导团关于幼儿教育专项督导检查公报[J]. 学前教育研究, 2005(9): 5-6.
	[National education supervision team’s special supervision and inspection bulletin on early childhood education[J]. Preschool Education Research, 2005(9): 5-6. ]
[6]	李艳, 李少梅. 我国幼儿园质量评估政策变迁的多源流阐释[J]. 陕西学前师范学院学报, 2024, 40(5): 105-112.
	[Li Yan, Li Shaomei. A study on Chinese quality evaluation policy changes of kindergarten based on multiple streams theory[J]. Journal of Shaanxi Xueqian Normal University, 2024, 40(5): 105-112. ]
[7]	陶卓霖, 戴特奇, 宋长青. 空间公平导向的城市医疗设施优化配置模型研究[J]. 地理学报, 2023, 78(2): 474-489. doi: 10.11821/dlxb202302013
	[Tao Zhuolin, Dai Teqi, Song Changqing. Improving spatial equity-oriented location-allocation models of urban medical facilities[J]. Acte Geographica Sinica, 2023, 78(2): 474-489. ]
[8]	李博. 基于两步移动搜索法的大连市医疗设施空间分布特征及可达性分析[J]. 测绘与空间地理信息, 2024, 47(5): 87-89.
	[Li Bo. Spatial distribution characteristics and accessibility analysis of medical facilities in Dalian based on two-step mobile search method[J]. Geomatics & Spatial Information Technology, 2024, 47(5): 87-89. ]
[9]	陶卓霖, 程杨. 两步移动搜寻法及其扩展形式研究进展[J]. 地理科学进展, 2016, 35(5): 589-599. doi: 10.18306/dlkxjz.2016.05.006
	[Tao Zhuolin, Cheng Yang. Research progress of the two-step floating catchment area method and extensions[J]. Progress in Geography, 2016, 35(5): 589-599. ] doi: 10.18306/dlkxjz.2016.05.006
[10]	宋正娜, 陈雯, 张桂香, 等. 公共服务设施空间可达性及其度量方法[J]. 地理科学进展, 2010, 29(10): 1217-1224. doi: 10.11820/dlkxjz.2010.10.009
	[Song Zhengna, Chen Wen, Zhang Guixiang, et al. Spatial accessibility to public service facilities and its measurement approaches[J]. Progress in Geography, 2010, 29(10): 1217-1224. ] doi: 10.11820/dlkxjz.2010.10.009
[11]	孔云峰, 李小建, 张雪峰. 农村中小学布局调整之空间可达性分析——以河南省巩义市初级中学为例[J]. 遥感学报, 2008, 12(5): 800-809.
	[Kong Yunfeng, Li Xiaojian, Zhang Xuefeng. Analysis of spatial accessibility for school redistricting in rural China: A case study of the secondary schools in Gongyi City Henan Province[J]. Journal of Remote Sensing, 2008, 12(5): 800-809. ]
[12]	汤鹏飞, 向京京, 罗静, 等. 基于改进潜能模型的县域小学空间可达性研究——以湖北省仙桃市为例[J]. 地理科学进展, 2017, 36(6): 697-708. doi: 10.18306/dlkxjz.2017.06.005
	[Tang Pengfei, Xiang Jingjing, Luo Jing, et al. Spatial accessibility analysis of primary schools at the county level based on the improved potential model: A case study of Xiantao City, Hubei Province[J]. Progress in Geography 2017, 36(6): 697-708. ] doi: 10.18306/dlkxjz.2017.06.005
[13]	林鹏. 可达性研究方法综述[J]. 西部资源, 2022(1): 194-200, 202.
	[Lin Peng. A review of accessibility research methods[J]. Western Resources, 2022(1): 194-200, 202. ]
[14]	王晶, 高向东. 上海市养老机构空间可达性的度量分析及其公平性评价[J]. 上海经济, 2018(3): 44-56.
	[Wang Jing, Gao Xiangdong. Research on spatial accessibility and equity evaluation to residential care facilities in Shanghai[J]. Shanghai Economy, 2018(3): 44-56. ]
[15]	韩非, 罗仁朝. 基于可达性测度的城市社区居家养老服务供需匹配研究——以南京为例[J]. 经济地理, 2020, 40(9): 91-101. doi: 10.15957/j.cnki.jjdl.2020.09.010
	[Han Fei, Luo Renchao. Matching of supply and demand for community service-oriented home care facilities based on accessibility measurement: A case study of Nanjing[J]. Economic Geography, 2020, 40(9): 91-101. ]
[16]	代佳欣. 可及性的概念、测度及影响因素研究: 文献综述[J]. 学习与实践, 2017(4): 86-94.
	[Dai Jiaxin. Research on the concept, measurement and influencing factors of accessibility: A literature review[J]. Learning and Practice, 2017(4): 86-94. ]
[17]	汪凡, 白永平, 周亮, 等. 中国基础教育公共服务均等化空间格局及其影响因素[J]. 地理研究, 2019, 38(2): 285-296. doi: 10.11821/dlyj020170219
	[Wang Fan, Bai Yongping, Zhou Liang, et al. Spatial pattern and influencing factors of the equalization of basic education public service in China[J]. Geographical Research, 2019, 38(2): 285-296. ]
[18]	王世琼, 刘睿, 戴技才, 等. 重庆市乡村义务教育资源可得性差异及影响因素[J]. 热带地理, 2022, 42(8): 1349-1362. doi: 10.13284/j.cnki.rddl.003524
	[Wang Shiqiong, Liu Rui, Dai Jicai, et al. Availability differences and influencing factors of rural compulsory education resources in Chongqing[J]. Tropical Geography, 2022, 42(8): 1349-1362. ] doi: 10.13284/j.cnki.rddl.003524
[19]	郑銮娟, 肖童, 刘晔, 等. 基于多出行模式两步移动搜索法的东莞市小学空间可达性研究[J]. 地理科学进展, 2023, 42(7): 1341-1354. doi: 10.18306/dlkxjz.2023.07.009
	[Zheng Luanjuan, Xiao Tong, Liu Ye, et al. Using multiple travel mode two-step floating catchment area (2SFCA) approach to measure the spatial accessibility of primary schools in Dongguan City, China[J]. Progress in Geography, 2023, 42(7): 1341-1354. ] doi: 10.18306/dlkxjz.2023.07.009
[20]	张艳林, 李敏, 刘宇文, 等. 基于学籍地址和地理编码的乡村小学教育资源空间可达性分析: 以湖南省株洲县为例[J]. 地理科学, 2022, 42(6): 993-1004. doi: 10.13249/j.cnki.sgs.2022.06.005
	[Zhang Yanlin, Li Min, Liu Yuwen, et al. Spatial accessibility analysis of primary educational resources based on student home address and geocoding: A case study in Zhuzhou County, Hunan Province[J]. Scientia Geographica Sinica, 2022, 42(6): 993-1004. ] doi: 10.13249/j.cnki.sgs.2022.06.005
[21]	任平, 洪步庭, 刘寅, 等. 基于RS与GIS的农村居民点空间变化特征与景观格局影响研究[J]. 生态学报, 2014, 34(12): 3331-3340.
	[Ren Ping, Hong Buting, Liu Yin, et al. A study of spatial evolution characteristics of rural settlements and influences of landscape patterns on their distribution using GIS and RS[J]. Acta Ecologica Sinica, 2014, 34(12): 3331-3340. ]
[22]	Zhang J, Yue W, Fan P, et al. Measuring the accessibility of public green spaces in urban areas using web map services[J]. Applied Geography, 2021, 126: 102381, doi: 10.1016/j.apgeog.2020.102381.
[23]	王侠, 陈晓键, 焦健. 基于家庭出行的城市小学可达性分析研究——以西安市为例[J]. 城市规划, 2015, 39(12): 64-72.
	[Wang Xia, Chen Xiaojian, Jiao Jian. Accessibility of urban primary schools based on family travel behavior: A case study of Xi’an[J]. City Planning Review, 2015, 39(12): 64-72. ]
[24]	张京祥, 葛志兵, 罗震东, 等. 城乡基本公共服务设施布局均等化研究——以常州市教育设施为例[J]. 城市规划, 2012, 36(2): 9-15.
	[Zhang Jingxiang, Ge Zhibing, Luo Zhendong, et al. Research on equalized layout of urban and rural public facilities: A case study of educational facilities in Changzhou[J]. City Planning Review, 2012, 36(2): 9-15. ]
[25]	程顺祺, 祁新华, 林涵, 等. 移动搜索法在教育公共服务可达性评价中的改进与应用——以福州城区幼儿园为例[J]. 人文地理, 2017, 32(3): 53-60.
	[Cheng Shunqi, Qi Xinhua, Lin Han, et al. The improvement and application of two-step floating catchment area method in measuring accessibility to educational public service: A case study of kindergartens in Fuzhou[J]. Human Geography, 2017, 32(3): 53-60. ]
[26]	莫惠斌, 罗珂, 王少剑, 等. 广州市中心城区餐饮店空间分异与机制差异研究——基于传统店与外卖店的对比[J]. 地理研究, 2022, 41(12): 3318-3334. doi: 10.11821/dlyj020220200
	[Mo Huibin, Luo Ke, Wang Shaojian, et al. Spatial heterogenicity and mechanism difference of restaurant in the central urban area of Guangzhou: A comparison between traditional restaurant and take-out restaurant[J]. Geographical Research, 2022, 41(12): 3318-3334. ]
[27]	黄涛, 王艳慧, 关鸿亮, 等. 乡村振兴背景下农村基本公共服务与多维贫困的时空耦合特征研究[J]. 人文地理, 2021, 36(6): 135-146, 192.
	[Huang Tao, Wang Yanhui, Guan Hongliang, et al. Research on the coupling characteristics of time and space between rural basic public services and multidimensional poverty under the background of rural revitalization[J]. Human Geography, 2021, 36(6): 135-146, 192. ]
[28]	王子琳, 李志刚, 程晗蓓. 中国大城市公园绿地可达性的公平性研究——以武汉市中心城区为例[J]. 地理科学进展, 2022, 41(4): 621-635. doi: 10.18306/dlkxjz.2022.04.007
	[Wang Zilin, Li Zhigang, Cheng Hanbei. The equity of urban park green space accessibility in large Chinese cities: A case study of Wuhan City[J]. Progress in Geography, 2022, 41(4): 621-635. ] doi: 10.18306/dlkxjz.2022.04.007
[29]	陈繁繁, 白永平, 梁建设, 等. 兰州市蔬菜市场的空间分布特征及影响因素研究[J]. 干旱区地理, 2024, 47(2): 293-306. doi: 10.12118/j.issn.1000－6060.2023.100
	[Cheng Fanfan, Bai Yongping, Liang Jianshe, et al. Spatial distribution characteristics and influencing factors of vegetable markets in Lanzhou City[J]. Arid Land Geography, 2024, 47(2): 293-306. ] doi: 10.12118/j.issn.1000－6060.2023.100

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道路	步行	自行（电动）车	公交	小汽车
主干道	75	207	287	333
次干道	75	207	120	240
支路	75	207	85	170
其他路	75	207	0	120

自变量	变量描述	数据来源
适龄儿童数量	格网内3~6岁适龄儿童总和/个	人口栅格数据、2014—2017年《兰州年鉴》、七普数据
家庭经济状况	格网内社区房价平均值/元·m^-2	链家网、安居客房产交易网站爬取
路网密度	城市道路网络密度	高德地图路网矢量数据爬
公交站	距公交站0.3 km内赋值2；0.3~1 km赋值为1	高德地图公交站POI点爬取
幼儿园保教费	不同等级幼儿园保教费用标准/元·(生·月)^-1	兰州市教育局官网
幼儿园招生人数	不同等级幼儿园秋季招生人数/个	兰州市教育局官网

区域	栅格数量/个	低可达性		较低可达性		中等可达性		较高可达性		高可达性
区域	栅格数量/个	数量/个	占比/%	数量/个	占比/%	数量/个	占比/%	数量/个	占比/%	数量/个	占比/%
城关区	2066	257	12.4	385	18.6	590	28.6	618	29.9	216	10.5
七里河区	1365	174	12.8	350	25.6	258	18.9	444	32.5	139	10.2
安宁区	1279	457	35.8	189	14.8	343	26.8	204	15.9	86	6.7
西固区	1165	451	38.7	320	27.5	212	18.2	113	9.7	69	5.9

解释变量		OLS结果	解释变量		SEM结果
协变量	学龄人口	0.001（4.292）^***	协变量	学龄人口	0.001（4.259）^***
	家庭经济状况	2.571（1.268）^***		家庭经济状况	2.267（2.465）^**
	路网密度	-0.001（0.001）^*		路网密度	-0.001（0.001）
	公交站	-1.639（1.408）^*		公交站	-1.617（2.747）
	幼儿园保教费	-1.110（1.428）^***		幼儿园保教费	-1.014（1.405）^***
	招生人数	0.005（0.001）^***		招生人数	0.004（0.002）^***
结果指标	常数	0.009（0.012）^***	结果指标	常数	0.014（0.022）^***
	Moran’s I （error）	39.853^***		空间误差项	1114.429^***
	LM（lag）	1526.068^***		Log Likelihood	3203.709
	Robust LM（lag）	4.084		AIC	-6393.420
	LM（error）	1569.102^***		SC	-6346.940
	Robust LM（error）	47.113^***		R²	0.499
	LM（SARMA）	1573.185^***		N	5649
	Log Likelihood	2646.490
	AIC	-5278.990
	SC	-5231.510
	R²	0.349
	N	5649

自变量	Moran’s I值	P值	Z值	自变量	Moran’s I值	P值	Z值
学龄儿童数量	0.292	0.010	53.672	公交站	-0.028	0.010	-5.308
家庭经济状况	0.079	0.001	15.942	幼儿园保教费	-0.121	0.010	-26.417
路网密度	-0.029	0.010	-5.416	幼儿园招生人数	0.518	0.010	90.668

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