摘要 :
The Chinese government has implemented a medical system reform to improve the equity of healthcare resources since 2009. We selected Shenzhen as our study area and evaluated the accessibility and equity of the multi-tiered medical...
展开
The Chinese government has implemented a medical system reform to improve the equity of healthcare resources since 2009. We selected Shenzhen as our study area and evaluated the accessibility and equity of the multi-tiered medical system in China using a novel multi-tiered two-step floating catchment area (MT2SFCA) method. We proposed the benchmark and applied the independent variables of travel time and facility attractiveness, along with a combination of the two factors, as tolerances to determine the new logistic cumulative distribution decay functions. Community health centers (CHCs) and hospitals were included while integrating their features. Results revealed that the MT2SFCA method was able to determine the particular advantages of CHCs and hospitals in the multi-tiered medical system. The CHCs offset the lower accessibility of hospitals in suburban areas and hospitals balanced the regional inequity caused by the CHC. Travel time is the main consideration of patients who have access to CHCs, whereas facility features are the main considerations of patients who have access to hospitals. Notably, both CHCs and hospitals are crucial for the whole multi-tiered medical system. Finally, we suggested modifications in different travel modes, weights of contributing factors, and the validation of decay functions to improve the MT2SFCA method.
收起
摘要 :
Urbanisation has drastically altered the population structure of cities worldwide. Quantitative measurement and analysis of changes in population density may provide insights into urban system modelling and urban planning. Populat...
展开
Urbanisation has drastically altered the population structure of cities worldwide. Quantitative measurement and analysis of changes in population density may provide insights into urban system modelling and urban planning. Population distribution modelling has been performed previously; however, to the best of our knowledge, the spatial dynamics of population density change have not yet been fully explored. In this study, we constructed a linear combination (LC)-lognormal model and proposed six characteristic indices to fill this gap. Based on the model, we presented four patterns of population spatial structure change (PSSC): Growing, Shrinking, Decen-tralising, and Centralising. The model was then applied to 213 monocentric cities on the Chinese mainland during 2000-2010. PSSCs of over 88.7% of cities could be properly characterised using the LC-lognormal model. The main findings include the following: (1) the most dramatic population change typically occurred close to the city centre, and (2) shrinking pattern may be influenced by drastic urban land expansion with inadequate economic growth. This study may supplement the methodology of population spatial structure studies and contribute to the knowledge on PSSCs in different cultures and policy frameworks.
收起
