Spatial Decompositions, Modeling and Mapping Service Regions to Predict Access to Social Programs

Radke, John; Mu, Lan

doi:10.1080/10824000009480538

Cited by 256 publications

(241 citation statements)

References 7 publications

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“…The first implementation was the twostep floating catchment area method (2SFCA) (Radke and Mu, 2000;Luo and Wang, 2003), which is similar to the regional availability method, but allows the boundaries to float based on a user-specified distance from each facility and population location. The 2SFCA does not consider distance decay within catchments (i.e., all locations inside of the catchment are assumed to have equivalent access).…”

Section: Statistical Approachmentioning

confidence: 99%

Assessing the spatial accessibility of hospital care in Sichuan Province, China

Pan¹,

Liu²,

Wang³

et al. 2015

Geospat Health

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Regional disparities in geographical access to hospital care are found throughout China. Understanding variations in the spatial accessibility of hospital care has the potential to provide decision support in healthcare planning. This study examines the hospital system in the Sichuan Province in China, which provides healthcare for more than 80 million people. We examine the impacts of accessibility characterisation via the conventional measurement approach by comparing the results to those derived using a floating catchment area approach. Employing a geographical information system based on population and hospital administrative data, we conducted a provincewide study of the spatial accessibility of hospital care in Sichuan Province, China. A shortest-path analysis and the enhanced two-step floating catchment area (E2SFCA) method were implemented. Substantial differences between these two approaches were found, including a roughly 15% difference in the total number of under-served areas. Generally, spatial accessibility was higher in the eastern regions of Sichuan. More than 5.5 million people were found to have limited access, with large variations across the province. These results indicate that the official method used by policy makers in China may not capture the true nature of spatial accessibility throughout the region. We recommend that the E2SFCA method be implemented for health services research in China, providing decision makers with more accurate information when setting healthcare policies.

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Section: Statistical Approachmentioning

confidence: 99%

Assessing the spatial accessibility of hospital care in Sichuan Province, China

Pan¹,

Liu²,

Wang³

et al. 2015

Geospat Health

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show abstract

“…The common methods to measure spatial accessibility are the shortest path approach [25], the proportion method [26,27], the kernel density method [28,29], the gravity-based model [30] and 2SFCA method [31,32]. Among these, the 2SFCA method is the most developed and widely used.…”

Section: Introductionmentioning

confidence: 99%

Assessing Spatial Accessibility of Public and Private Residential Aged Care Facilities: A Case Study in Wuhan, Central China

Cai

Liu

Jing

et al. 2017

IJGI

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Abstract:In the increasingly serious aging China, aged service is the provision of one of the most urgent and important public services to citizens, and private facilities has become an important service force with the aged service market opening in China. This study aims to explore the spatial variation in the accessibility of residential aged care facilities (RACFs) and compared the service capacity of public RACFs and private RACFs. It facilitates RACFs to be allocated rationally in the future and achieve the equalization of aged services. A village-level analysis of spatial access to public and private RACFs by the multi-catchment sizes Gaussian two-step floating catchment area (MCSG2SFCA) method was conducted through a case study in Wuhan City in Central China. The major results are as follows: (1) the accessibility of RACFs in urban areas is better than that in rural areas; (2) the public RACFs still dominate aged care services but the role of private RACFs is important as well; (3) in developed urban areas, the accessibility to private RACFs surpasses that of public ones, and the situation is opposite in rural areas; (4) the capacity of aged care services in Wuhan is not high, meanwhile there is remarkable regional disparity. The accessibility of RACFs in Wuhan is not satisfactory, and there is a significant gap between urban and rural areas. The private RACFs have significantly improved the urban capacity of aged care services, but the role in rural areas is still very weak.

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“…Much GIS research in the health care field focuses on methodological development making it more robust for assessing potential spatial access (Higgs, 2004). These methods are therefore frequently changing or modified (Radke and Mu, 2000;Guagliardo, 2004;Luo, 2004;Luo and Qi, 2009;Wan et al, 2012a).…”

Section: Introductionmentioning

confidence: 99%

“…It also has problems with the continuous distance-decay function in absence of detailed traffic information. Radke and Mu (2000) proposed a twostep catchment area, which was eventually modified into a two-step floating catchment area (2SFCA) method by Luo (2004) and Wang and Luo (2005), the latter itself being a modification of the simple gravity model (Wan et al, 2012a) to account for its limitations. Luo and Qi (2009) modified the 2SFCA and called it the enhanced 2SFCA (E2SFCA).…”

Section: Introductionmentioning

confidence: 99%

Spatial access to in-patient health care in northern rural India

Ranga

Panda

2014

Geospat Health

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Abstract. Access to health care in rural areas is a major concern for local populations as well as for policy makers in developing countries. This paper examines spatial access to in-patient health care in northern rural India. In order to measure spatial access, impedance-based competition using the Three-Step floating Catchment Area (3SFCA) method, a modification of the simple gravity model, was used. 3SFCA was chosen for the study of the districts of Pratapgarh and Kanpur Dehat in the Uttar Pradesh state and Vaishali in the Bihar state, two of India's poorest states. This approach is based on discrete distance decay and also considers more parameters than other available methods, hence is believed to be a robust methodology. It was found that Vaishali district has the highest spatial access to in-patient health care followed by Pratapgarh and Kanpur Dehat. There is serious lack of health care, in Pratapgarh and Kanpur Dehat with 40% and 90% of the villages having shortage of in-patient care facilities in these respective districts. The most important factor affecting spatial access was found to be the distance to the nearest major urban agglomeration.

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Spatial Decompositions, Modeling and Mapping Service Regions to Predict Access to Social Programs

Cited by 256 publications

References 7 publications

Assessing the spatial accessibility of hospital care in Sichuan Province, China

Assessing the spatial accessibility of hospital care in Sichuan Province, China

Assessing Spatial Accessibility of Public and Private Residential Aged Care Facilities: A Case Study in Wuhan, Central China

Spatial access to in-patient health care in northern rural India

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