Spatial accessibility of elderly healthcare facilities based on an improved potential model: A case study on Fengxian District in Shanghai

doi:10.3969/j.issn.1000-5641.2022.01.011

Abstract

Abstract:

Spatial accessibility is an important reference index to determine whether the layout of various types of facilities is reasonable. Scientific evaluation of the spatial accessibility of service facilities is an important basis for judging regional service differences and optimizing the spatial allocation of resources. Using the basic potential model as a basis for our analysis, we introduced a demand-side threshold, designed a three-level service radius based on the scale requirements for elderly care institutions, and implemented regional priority matching principles. Taking Fengxian District of Shanghai as an example, we analyzed the spatial accessibility of elderly care institutions in the region based on the actual driving time between supply and demand points and ArcGIS spatial analysis technology. The results show that the spatial accessibility of nursing homes in Fengxian District is uneven, and the spatial accessibility in some areas of Nanqiao Town, Zhuanghang Town, and Jinhui Town is significantly higher. A trend of gradually decreasing accessibility can be observed from the city center to the periphery. In some towns and villages of the central region, there are dense elderly care institutions and relatively concentrated elderly resources. The improved potential model considers the influence of factors such as the service capacity of elderly care institutions and the needs of the elderly, which can evaluate the spatial accessibility of institutions more effectively. The research results provide a reference point and offer suggestions for scientific planning and decision-making of elderly care institutions.

Key words: elderly healthcare facilities, spatial accessibility, improved potential model, GIS, Fengxian District

CLC Number:

K901

Tianyan WU, Qingtao XIA, Zhen CHEN. Spatial accessibility of elderly healthcare facilities based on an improved potential model: A case study on Fengxian District in Shanghai[J]. Journal of East China Normal University(Natural Science), 2022, 2022(1): 85-96.

Figures/Tables 11

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阻抗形式	函数类型	取值范围
高斯函数	$f( { {D_{ij} } } ) = \omega \cdot { {\rm{e} }^{ - \frac{ { { {\bar C}^2} } }{u} } }$	[0,+∞)
反比例函数	$f( { {D_{ij} } } ) = \dfrac{1}{ { {D^\beta_{ij} } } }$	[0,+∞)
负指数函数	$f( { {D_{ij} } } )= \dfrac{1}{ { { {\rm{e} }^{\beta {D_{ij} } } } } }$	[0, 1]

插值方法	对应参数	MEAN	RMSE
趋势面拟合模型	一阶线性	–0.045	5.384
IDW模型	距离的幂次项取2	0.085	5.132
Splines模型	规则样条函数	0.064	4.536
Kriging模型	普通克里金	–0.037	4.324

不同情境	平均值	最大值	最小值	标准差
未考虑优先原则	36.37	68.14	14.89	3.27
考虑优先原则	32.58	74.61	9.21	5.64

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