文献类型：期刊文献

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

作者：Wang, Danni[1,2];Qiao, Changjian[3];Liu, Sijie[4];Wang, Chongyang[2,5];Yang, Ji[2,5];Li, Yong[2,5];Huang, Peng[6]

第一作者：Wang, Danni

通讯作者：Wang, CY[1];Wang, CY[2]

机构：[1]Sun Yat Sen Univ, Xin Hua Coll, Dept Resources & Urban Planning, Guangzhou 510520, Peoples R China;[2]Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China;[3]Henan Univ Econ & Law, Academician Workstn Urban Rural Spatial Data Min, Coll Resources & Environm, Zhengzhou 450046, Peoples R China;[4]Land & Resources Technol Ctr Guangdong Prov, Guangzhou 510075, Peoples R China;[5]Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol &, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510070, Peoples R China;[6]Shenzhen Municipal Planning & Nat Resources Burea, Shenzhen 518101, Peoples R China

第一机构：Sun Yat Sen Univ, Xin Hua Coll, Dept Resources & Urban Planning, Guangzhou 510520, Peoples R China

通讯机构：[1]corresponding author), Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China;[2]corresponding author), Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol &, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510070, Peoples R China.

年份：2020

卷号：12

期号：8

起止页码：1-23

外文期刊名：SUSTAINABILITY

收录：;Scopus(收录号：2-s2.0-85084570471);WOS:【SSCI(收录号:WOS:000535598700102)，SCI-EXPANDED(收录号:WOS:000535598700102)】；

基金：This research was supported by National Natural Science Foundation of China (41801364), the research on spatial distribution of Residential Care Facilities in Guangzhou (2017YB002), Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0301), Key Scientific Research Projects of Henan Colleges and Universities (19A420001), GDAS' Project of Science and Technology Development (2020GDASYL-20200302001, 2018GDASCX-0905, 2020GDASYL-20200104006 and 2019GDASYL-0301001).

语种：英文

外文关键词：spatial accessibility; residential care facilities; residential communities; population forecast; Guangzhou

摘要：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.