2006/07/24 by Mitchel Langford, Gary Higgs · 2 citations
Economics, Econometrics and Finance · Social Sciences · #Economic and Environmental Valuation #Health disparities and outcomes #Urban Transport and Accessibility
paper · doi:10.1111/j.1467-9272.2006.00569.x
openalex publication_date 2006/07/24 · crossref created 2006/07/24 · crossref issued 2006/08/01 · crossref published 2006/08/01 · crossref published-print 2006/08/01 · crossref published-online 2010/05/13 · openalex created_date 2025/10/10 · crossref deposited 2026/02/12 · crossref indexed 2026/07/30 · openalex updated_date 2026/07/31
Spatial accessibility measures are an important policy tool for managing healthcare provision and reducing health inequality. The two-step floating catchment area technique, in common with many alternative methodologies, requires that demand-side population be estimated using spatial interpolation techniques. This article studies the implications of adopting differing spatial representations of population on healthcare accessibility modeling outcomes. Results indicate that a dasymetric model yields lower accessibility scores than a standard pro rata model. More important, the difference is spatially disproportionate, suggesting that the degree of disadvantage experienced in rural areas may be greater than has previously been recognized.