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首页> 外文期刊>International Journal of Environmental Research and Public Health >Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach
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Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach

机译：使用综合集水区方法评估医疗机构的可及性

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Accessibility is a major method for evaluating the distribution of service facilities and identifying areas in shortage of service. Traditional accessibility methods, however, are largely model-based and do not consider the actual utilization of services, which may lead to results that are different from those obtained when people’s actual behaviors are taken into account. Based on taxi GPS trajectory data, this paper proposed a novel integrated catchment area (ICA) that integrates actual human travel behavior to evaluate the accessibility to healthcare facilities in Shenzhen, China, using the enhanced two-step floating catchment area (E2SFCA) method. This method is called the E2SFCA-ICA method. First, access probability is proposed to depict the probability of visiting a healthcare facility. Then, integrated access probability (IAP), which integrates model-based access probability (MAP) and data-based access probability (DAP), is presented. Under the constraint of IAP, ICA is generated and divided into distinct subzones. Finally, the ICA and subzones are incorporated into the E2SFCA method to evaluate the accessibility of the top-tier hospitals in Shenzhen, China. The results show that the ICA not only reduces the differences between model-based catchment areas and data-based catchment areas, but also distinguishes the core catchment area, stable catchment area, uncertain catchment area and remote catchment area of healthcare facilities. The study also found that the accessibility of Shenzhen’s top-tier hospitals obtained with traditional catchment areas tends to be overestimated and more unequally distributed in space when compared to the accessibility obtained with integrated catchment areas.
机译：可达性是评估服务设施分布并确定服务不足区域的一种主要方法。但是，传统的可访问性方法主要基于模型，并且不考虑服务的实际使用情况，这可能导致结果与考虑到人们的实际行为时所获得的结果不同。基于出租车GPS轨迹数据，本文提出了一种新颖的综合集水区（ICA），它使用增强的两步浮动集水区（E2SFCA）方法，结合实际的人类出行行为来评估中国深圳医疗机构的可及性。此方法称为E2SFCA-ICA方法。首先，提出访问概率来描述访问医疗机构的概率。然后，提出了将基于模型的访问概率（MAP）和基于数据的访问概率（DAP）集成在一起的集成访问概率（IAP）。在IAP的约束下，ICA被生成并划分为不同的子区域。最后，将ICA和分区合并到E2SFCA方法中，以评估中国深圳一流医院的可及性。结果表明，ICA不仅减少了基于模型的集水区和基于数据的集水区之间的差异，而且区分了医疗设施的核心集水区，稳定的集水区，不确定的集水区和偏远的集水区。该研究还发现，与传统集水区相比，深圳传统医院所提供的顶级医院的可及性往往被高估，并且在空间上分布不均。

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