Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
de Mello-Sampayo, F. (2020). Spatial interaction model for healthcare accessibility: what scale has to do with it. Sustainability. 12 (10), 1-19
Exportar Referência (IEEE) 
F. D. Sampayo,  "Spatial interaction model for healthcare accessibility: what scale has to do with it", in Sustainability, vol. 12, no. 10, pp. 1-19, 2020
Exportar BibTeX 
@article{sampayo2020_1732201011195,
	author = "de Mello-Sampayo, F.",
	title = "Spatial interaction model for healthcare accessibility: what scale has to do with it",
	journal = "Sustainability",
	year = "2020",
	volume = "12",
	number = "10",
	doi = "10.3390/su12104324",
	pages = "1-19",
	url = "https://www.mdpi.com/2071-1050/12/10/4324"
}
Exportar RIS 
TY  - JOUR
TI  - Spatial interaction model for healthcare accessibility: what scale has to do with it
T2  - Sustainability
VL  - 12
IS  - 10
AU  - de Mello-Sampayo, F.
PY  - 2020
SP  - 1-19
SN  - 2071-1050
DO  - 10.3390/su12104324
UR  - https://www.mdpi.com/2071-1050/12/10/4324
AB  - This manuscript develops a theoretical spatial interaction model using the entropy approach to relax the assumption of the deterministic utility function. The spatial healthcare accessibility improves as the demand for healthcare increases or the opportunity cost of traveling to and from healthcare providers decreases. The empirical application used different spatial econometric techniques and multilevel modeling to evaluate the spatial distribution of existing hospitals in Texas and their social and economic correlates. To control for spatial autocorrelation, spatial autoregressive regression models were estimated, and geographically weighted regression models examined potential spatial non-stationarity. The multilevel modeling controlled for spatial autocorrelation and also allowed local variation and spatial non-stationarity. The empirical analysis showed that healthcare accessibility was not stationary in Texas in 2015, with areas of poor accessibility in rural and peripheral areas in Texas, when using hospitals’ location and county data. The model of spatial interaction applied to healthcare accessibility can be used to evaluate policies aiming at the provision of health services, such as closures of hospitals and capacity increases.
ER  -