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从两阶段空间错配分析到改进的两阶段空间错配分析:整合、推导与验证

From 2SFCA to i2SFCA: integration, derivation and validation.

作者信息

Wang Fahui

机构信息

Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803.

出版信息

Int J Geogr Inf Sci. 2021;35(3):628-638. doi: 10.1080/13658816.2020.1811868. Epub 2020 Aug 28.

Abstract

Uneven distributions of population and service providers lead to geographic disparity in access for residents and varying workload for staff in facilities. The former can be captured by spatial accessibility in the traditional two-step floating catchment area (2SFCA) method; and the latter can be measured by potential crowdedness in the newly developed inverted 2SFCA (or i2SFCA) method. Residents-based accessibility and facility crowdedness are two sides of the same coin in examining the geographic variability of resource allocation. This short research note derives the formulations of both methods to solidify their theoretical foundation, and uses a case study to validate both. By doing so, the 2SFCA and i2SFCA are fully integrated into one conceptual framework, derived with extensions to the Huff model, and validated by empirical data.

摘要

人口和服务提供者的分布不均导致居民获得服务的地理差异以及医疗机构工作人员的工作量各不相同。前者可以通过传统的两步浮动集水区(2SFCA)方法中的空间可达性来体现;而后者可以通过新开发的反向2SFCA(或i2SFCA)方法中的潜在拥挤程度来衡量。在研究资源分配的地理变异性时,基于居民的可达性和机构拥挤程度是同一问题的两个方面。本简短的研究报告推导了这两种方法的公式,以巩固其理论基础,并通过案例研究对二者进行验证。通过这样做,2SFCA和i2SFCA被完全整合到一个概念框架中,该框架是对赫夫模型进行扩展后得出的,并通过实证数据进行了验证。

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