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Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai

Author

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  • Xiaoran Huang

    (School of Architecture and Art, North China University of Technology, Beijing 100144, China
    Centre for Design Innovation, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

  • Pixin Gong

    (School of Architecture and Art, North China University of Technology, Beijing 100144, China)

  • Marcus White

    (Centre for Design Innovation, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

Abstract

With the growing challenge of aging populations around the world, the study of the care services for older adults is an essential initiative to accommodate the particular needs of the disadvantaged communities and promote social equity. Based on open-source data and the geographic information system (GIS), this paper quantifies and visualizes the imbalance in the spatial distribution of elderly care facilities in 14,578 neighborhoods in downtown (seven districts) Shanghai, China. Eight types of elderly care facilities were obtained from Shanghai elderly care service platform, divided into two categories according to their service scale. With the introduction of the improved Gaussian 2-step floating catchment area method, the accessibility of two category facilities was calculated. Through the global autocorrelation analysis, it is found that the accessibility of elderly care facilities has the characteristics of spatial agglomeration. Local autocorrelation analysis indicates the cold and hot spots in the accessibility agglomeration state of the two types of facilities, by which we summarized the characteristics of their spatial heterogeneity. It is found that for Category−I, there is a large range of hot spots in Huangpu District. For Category−II, the hot-spot and cold-spot areas show staggered distribution, and the two categories of hot spot distribution show a negative correlation. We conclude that the two categories are not evenly distributed in the urban area, which will lead to the low efficiency of resource allocation of elderly care facilities and have a negative impact on social fairness. This research offers a systematic method to study urban access to care services for older adults as well as a new perspective on improving social fairness.

Suggested Citation

  • Xiaoran Huang & Pixin Gong & Marcus White, 2022. "Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7929-:d:850610
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    References listed on IDEAS

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    Cited by:

    1. Ling Yang & Hsiao-Tung Chang & Jian Li & Xinyue Xu & Zhi Qiu & Xiaomin Jiang, 2023. "A Comprehensive Evaluation of the Friendliness of Urban Facilities for the Elderly in Taipei City and New Taipei City," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    2. Jinhui Ma & Haijing Huang & Daibin Liu, 2023. "Influences of Spatial Accessibility and Service Capacity on the Utilization of Elderly-Care Facilities: A Case Study of the Main Urban Area of Chongqing," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
    3. Huicheng Feng & Xiaoxiang Tang & Cheng Zou, 2024. "Optimizing the Layout of Service Facilities for Older People Based on POI Data and Machine Learning: Guangzhou City as an Example," Land, MDPI, vol. 13(5), pages 1-15, May.
    4. Hao Zhu, 2022. "Spatial Matching and Policy-Planning Evaluation of Urban Elderly Care Facilities Based on Multi-Agent Simulation: Evidence from Shanghai, China," Sustainability, MDPI, vol. 14(23), pages 1-20, December.
    5. Bangyu Liu & Ning Qiu & Tianjie Zhang, 2023. "Accessibility of Elderly Care Facilities Based on Social Stratification: A Case Study in Tianjin, China," Sustainability, MDPI, vol. 15(2), pages 1-12, January.
    6. Zongni Gu & Xiaolong Luo & Yanru Chen & Xiaoman Liu & Chenrui Xiao & Yifan Liang, 2022. "Density, Diversity, and Design: Evaluating the Equity of the Elderly Communities in Three Measures of the Built Environment," Land, MDPI, vol. 11(11), pages 1-17, November.
    7. Zhenwei Wang & Xiaochun Wang & Zijin Dong & Lisan Li & Wangjun Li & Shicheng Li, 2023. "More Urban Elderly Care Facilities Should Be Placed in Densely Populated Areas for an Aging Wuhan of China," Land, MDPI, vol. 12(1), pages 1-13, January.

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