A comparative analysis of accessibility measures by the two-step floating catchment area (2SFCA) method

• Published in: International journal of geographical information science : IJGIS Vol. 33; no. 9; pp. 1739 - 1758
• Main Authors: Chen, Xiang, Jia, Pengfei
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.09.2019; Taylor & Francis LLC
• Subjects: 2SFCA; Accessibility; Catchment areas; Comparative analysis; Decay; distance decay; Empirical analysis; Floating; Health care; Sensitivity analysis; spatial interaction model; Urban planning
• ISSN: 1365-8816; 1362-3087; 1365-8824
• DOI: 10.1080/13658816.2019.1591415

The recent decade has witnessed a new wave of development in the place-based accessibility theory, revolving around the two-step floating catchment area (2SFCA) method. The 2SFCA method, initially serving to evaluate the spatial inequity of health care services, has been further applied to other urban planning and facility access issues. Among these applications, different distance decay functions have been incorporated in the thread of model development, but their applicability and limitations have not been thoroughly examined. To this end, the paper has employed a place-based accessibility framework to compare the performance of twenty-four 2SFCA models in a comprehensive manner. Two important conclusions are drawn from this analysis: on a small analysis scale (e.g., community level), the catchment size is the most critical model component; on a large analysis scale (e.g., statewide), the distance decay function is of elevated importance. In sum, this comparative analysis provides the theoretical support necessary to the choice of the catchment size and the distance decay function in the 2SFCA method. Justification of model parameters through empirical evidence (e.g., field surveys about local travel activities) and model validation through sensitivity analysis are needed in future 2SFCA applications for various urban planning, service delivery, and spatial equity scenarios.