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Multi-modal two-step floating catchment area analysis of primary health care accessibility

机译:初级卫生保健可及性的多模式两步浮动流域面积分析

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摘要

Two-step floating catchment area (2SFCA) techniques are popular for measuring potential geographical accessibility to health care services. This paper proposes methodological enhancements to increase the sophistication of the 2SFCA methodology by incorporating both public and private transport modes using dedicated network datasets. The proposed model yields separate accessibility scores for each modal group at each demand point to better reflect the differential accessibility levels experienced by each cohort. An empirical study of primary health care facilities in South Wales, UK, is used to illustrate the approach. Outcomes suggest the bus-riding cohort of each census tract experience much lower accessibility levels than those estimated by an undifferentiated (car-only) model. Car drivers' accessibility may also be misrepresented in an undifferentiated model because they potentially profit from the lower demand placed upon service provision points by bus riders. The ability to specify independent catchment sizes for each cohort in the multi-modal model allows aspects of preparedness to travel to be investigated. (C) 2016 Published by Elsevier Ltd.
机译:两步浮动集水区(2SFCA)技术在测量潜在的医疗服务地理可及性方面很受欢迎。本文提出了方法上的改进,以通过使用专用网络数据集合并公共和私人运输模式来提高2SFCA方法的复杂性。提议的模型在每个需求点为每个模式组分别提供可访问性评分,以更好地反映每个队列所经历的差异可访问性水平。对英国南威尔士州的初级卫生保健机构进行的实证研究用于说明该方法。结果表明,与未区分(仅汽车)模型估计的可访问性水平相比,每个人口普查区域的公交车可及性水平要低得多。在无差异的模型中,汽车驾驶员的可访问性也可能会被错误地表述,因为他们可能会从公共汽车驾驶员对服务提供点的较低需求中受益。在多模式模型中为每个队列指定独立的流域规模的能力允许调查出行准备的各个方面。 (C)2016由Elsevier Ltd.出版

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