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Assessment of Spatial Accessibility to Residential Care Facilities in 2020 in Guangzhou by Small-Scale Residential Community Data

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  • Danni Wang

    (Department of Resources and the Urban Planning, Xin Hua College of Sun Yat-Sen University, Guangzhou 510520, China
    Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China)

  • Changjian Qiao

    (College of Resources and Environment, Academician Workstation for Urban-Rural Spatial Data Mining, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Sijie Liu

    (Land and Resources Technology Center of Guangdong Province, Guangzhou 510075, China)

  • Chongyang Wang

    (Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
    Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China)

  • Ji Yang

    (Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
    Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China)

  • Yong Li

    (Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
    Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China)

  • Peng Huang

    (Shenzhen Municipal Planning and Natural Resources Bureau-Bao’an Management Bureau, Shenzhen 518101, China)

Abstract

Population aging has increasingly challenged socio-economic development worldwide, highlighting the significance of relevant research such as accessibility to residential care facilities (RCFs). However, a number of previous studies are carried out only on street (town)-to-district scales, which could cause errors of the accessibility to RCFs for a family. In order to improve the resolution to individual families, we measure and compare the accessibilities to RCFs based on 3494 residential communities and 169 streets of Guangzhou in 2020 through the two-step floating catchment area (2SFCA) method. It was found that the distributions of the elderly and the service-dense blobs of the RCFs show patterns of a three-level spatial distribution, with a characteristic clustering at the center with peripheral dispersion. The resultant accessibility to RCFs in Guangzhou, ranging from 2.5 to 3.45, is generally consistent with the studies focusing on street scales. However, the maximum difference in the accessibility of two residential communities on the same street ranges from less than 0.02 to 0.94 in Guangzhou, indicating large variations. Although the relative errors of the accessibility results based on bi-scale data are relatively low, the cumulative errors can be high, e.g., over 25% in many streets of large cities. Consequently, hundreds of elderly persons per street can be adversely affected by those errors, with six streets over 1000. Therefore, this study focusing on the smaller-scale residential community data may provide more accurate reference to individual households. For the spatial allocation and optimal layout of Guangzhou and similar cities with population aging, we suggest maximizing RCFs in metropolises by taking full advantage of existing residential care facilities with necessary restructuring, improvements, and expansions on service capability. While for less connected cities, we encourage building new RCFs in situ.

Suggested Citation

  • Danni Wang & Changjian Qiao & Sijie Liu & Chongyang Wang & Ji Yang & Yong Li & Peng Huang, 2020. "Assessment of Spatial Accessibility to Residential Care Facilities in 2020 in Guangzhou by Small-Scale Residential Community Data," Sustainability, MDPI, vol. 12(8), pages 1-23, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3169-:d:345564
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    References listed on IDEAS

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    1. Cheng, Yang & Rosenberg, Mark W. & Wang, Wuyi & Yang, Linsheng & Li, Hairong, 2011. "Aging, health and place in residential care facilities in Beijing, China," Social Science & Medicine, Elsevier, vol. 72(3), pages 365-372, February.
    2. Campbell, Kayleigh B. & Rising, James A. & Klopp, Jacqueline M. & Mbilo, Jacinta Mwikali, 2019. "Accessibility across transport modes and residential developments in Nairobi," Journal of Transport Geography, Elsevier, vol. 74(C), pages 77-90.
    3. Xie, Yichun & Sha, Zongyao & Yu, Mei & Bai, Yongfei & Zhang, Lei, 2009. "A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China," Ecological Modelling, Elsevier, vol. 220(15), pages 1810-1818.
    4. KC, Kiran & Corcoran, Jonathan & Chhetri, Prem, 2020. "Measuring the spatial accessibility to fire stations using enhanced floating catchment method," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
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    2. Hong Xu & Jin Zhao & Xincan Yu, 2023. "A Community-Oriented Accessibility Index of Public Health Service Facilities: A Case Study of Wuchang District, Wuhan, China," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    3. 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.
    4. Longduoqi A & Hang Ma & Mohan Wang & Biao Yang, 2022. "Research on Urban Community Elderly Care Facility Based on Quality of Life by SEM: Cases Study of Three Types of Communities in Shenzhen, China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    5. Jiyoung Kim & Jiwon Lee, 2021. "An Analysis of Spatial Accessibility Changes According to the Attractiveness Index of Public Libraries Using Social Media Data," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    6. Chen Li & Jiaji Wu & Yi Huang, 2023. "Spatial–Temporal Patterns and Coupling Characteristics of Rural Elderly Care Institutions in China: Sustainable Human Settlements Perspective," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    7. Xueqi Wang & Zhichong Zou, 2021. "Open Data Based Urban For-Profit Music Venues Spatial Layout Pattern Discovery," Sustainability, MDPI, vol. 13(11), pages 1-22, June.

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