IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p723-d1318995.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/723/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/2/723/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tianyue Wan & Wei Lu & Xiaodong Na & Wenzhi Rong, 2024. "Non-Linear Impact of Economic Performance on Social Equity in Rail Transit Station Areas," Sustainability, MDPI, vol. 16(15), pages 1-27, July.
    2. Jiayue Xun & Min Zhang & Gaofeng Xu & Xinyue Guo, 2024. "Diversity and Influencing Factors of Public Service Facilities in Urban (Suburban) Railway Life Circle—Evidence from Beijing Subway Line S1, China," Land, MDPI, vol. 13(8), pages 1-20, August.
    3. Kelly, J. Andrew & Fu, Miao, 2014. "Sustainable school commuting – understanding choices and identifying opportunities," Journal of Transport Geography, Elsevier, vol. 34(C), pages 221-230.
    4. Murray, Alan T., 2016. "Assessing the impacts of traditional school year calendar start dates," Socio-Economic Planning Sciences, Elsevier, vol. 54(C), pages 28-36.
    5. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    6. Mona S. Ramadan & Nesren Khairy & Haya M. Alogayell & Ibtesam I. Alkadi & Ismail Y. Ismail & Rasha H. Ramadan, 2022. "Spatial Equity Priority Modeling of Elementary and Middle Schools through GIS Techniques, El-Taif City, Saudi Arabia," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    7. Park, Junhyuk & Kim, Byung-In, 2010. "The school bus routing problem: A review," European Journal of Operational Research, Elsevier, vol. 202(2), pages 311-319, April.
    8. Masashi Miyagawa, 2020. "Optimal number and length of point-like and line-like facilities of grid and random patterns," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 213-230, April.
    9. Peishen Wu & Mei Liu, 2022. "A Framework for the Spatial Inequality in Urban Public Facility for Urban Planning, Design and Management," Land, MDPI, vol. 11(9), pages 1-20, August.
    10. Ruixia Chao & Desheng Xue & Benshuo Wang, 2024. "Evaluating Human Needs: A Study on the Spatial Justice of Medical Facility Services in Social Housing Communities in Guangzhou," Land, MDPI, vol. 13(7), pages 1-22, July.
    11. 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.
    12. Scott, Darren M. & Horner, Mark W., 2008. "Examining The Role of Urban Form In Shaping People’s Accessibility to Opportunities: An Exploratory Spatial Data Analysis," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 89-119.
    13. Katalin Czako & Tamas Dusek & Krisztian Koppany & Veronika Poreisz & Eva Szalka, 2013. "Economies of scale in local communal services: a Hungarian case study," ERSA conference papers ersa13p988, European Regional Science Association.
    14. Caceres, Hernan & Batta, Rajan & He, Qing, 2019. "Special need students school bus routing: Consideration for mixed load and heterogeneous fleet," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 10-19.
    15. Zhenchao Zhang & Weixin Luan & Chuang Tian & Min Su & Zeyang Li, 2021. "Spatial Distribution Equilibrium and Relationship between Construction Land Expansion and Basic Education Schools in Shanghai Based on POI Data," Land, MDPI, vol. 10(10), pages 1-17, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:723-:d:1318995. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.