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Spatial Distribution and Accessibility Analysis of Primary School Facilities in Mega Cities: A Case Study of Chengdu

Author

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  • Jiulin Jiang

    (School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China)

  • Zegen Wang

    (School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China)

  • Zhiwei Yong

    (School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China)

  • Jiwu He

    (School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China)

  • Ye Yang

    (School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China)

  • Ying Zhang

    (School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China)

Abstract

High-quality and equitable primary education services promote the building of a harmonious socialist society and are an important basis for improving people’s quality of life and promoting high-quality and sustainable regional development. Here, we take Chengdu City as a test area, integrate data from multiple sources, use the random forest model to simulate the distribution data of primary school-age children in Chengdu City in 2020, and use the kernel density estimation method and the multi-traffic mode two-stage floating catchment area method to measure the spatial distribution characteristics and accessibility of primary school educational facilities in Chengdu City and combine the imbalance index and spatial autocorrelation analysis, examination of the equalization of the distribution of primary school educational facilities, and the correlation between school-age population and accessibility. The results show that in the past decade, the population of Chengdu has grown rapidly, and the number of primary school-age children has also been increasing. The overall distribution of primary school-age children in Chengdu presents a decentralized pattern of “one point with multiple cores”, with the population decreasing from the center to the periphery, and the population distribution dominates the spatial distribution of primary school facilities, which also highlights the imbalance in the construction of primary school facilities to some extent (S = 0.257), which was mainly manifested by the fact that the central-eastern part of the city has more primary school facilities, while the western part has fewer. In addition, the results of both accessibility and autocorrelation analyses show that the overall accessibility of the central circle of Chengdu was high, while the accessibility of the second and third circles was at a lower level and below, with very obvious cross-regional and cross-circle differences. This study can not only provide more accurate recommendations for the allocation of educational facilities but also serve as a reference for evaluating the spatial equity of other public services in the city.

Suggested Citation

  • Jiulin Jiang & Zegen Wang & Zhiwei Yong & Jiwu He & Ye Yang & Ying Zhang, 2024. "Spatial Distribution and Accessibility Analysis of Primary School Facilities in Mega Cities: A Case Study of Chengdu," Sustainability, MDPI, vol. 16(2), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:723-:d:1318995
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    References listed on IDEAS

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    1. Qiya Huang & Xijuan Cui & Libang Ma, 2023. "The Equity of Basic Educational Facilities from the Perspective of Space," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
    2. Yizhou Wu & Xiaohong Zheng & Li Sheng & Heyuan You, 2020. "Exploring the Equity and Spatial Evidence of Educational Facilities in Hangzhou, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 1075-1096, October.
    3. Yukio Sadahiro, 2005. "Spatiotemporal analysis of the distribution of urban facilities in terms of accessibility," Papers in Regional Science, Wiley Blackwell, vol. 84(1), pages 61-84, March.
    4. Hanley, Paul F., 2007. "Transportation cost changes with statewide school district consolidation," Socio-Economic Planning Sciences, Elsevier, vol. 41(2), pages 163-179, June.
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    1. Iwona Cieślak & Bartłomiej Eźlakowski & Andrzej Biłozor & Adam Senetra, 2025. "Spatial Analysis of Medical Service Accessibility in the Context of Quality of Life and Sustainable Development: A Case Study of Olsztyn County, Poland," Sustainability, MDPI, vol. 17(15), pages 1-20, July.
    2. Ruiqiu Pang & Jiawei Xiao & Jun Yang & Weisong Sun, 2025. "Spatial Distribution Characteristics and Influencing Factors of Public Service Facilities for Children—A Case Study of the Central Urban Area of Shenyang," Land, MDPI, vol. 14(7), pages 1-24, July.

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