title: Measuring Spatial Accessibility of Health Care Providers - Introduction of a Variable Distance Decay Function within the Floating Catchment Area (FCA) Method.
abstract: We integrated recent improvements within the floating catchment area (FCA) method family into an integrated 'iFCA`method. Within this method we focused on the distance decay function and its parameter. So far only distance decay functions with constant parameters have been applied. Therefore, we developed a variable distance decay function to be used within the FCA method. We were able to replace the impedance coefficient β by readily available distribution parameter (i.e. median and standard deviation (SD)) within a logistic based distance decay function. Hence, the function is shaped individually for every single population location by the median and SD of all population-to-provider distances within a global catchment size. Theoretical application of the variable distance decay function showed conceptually sound results. Furthermore, the existence of effective variable catchment sizes defined by the asymptotic approach to zero of the distance decay function was revealed, satisfying the need for variable catchment sizes. The application of the iFCA method within an urban case study in Berlin (Germany) confirmed the theoretical fit of the suggested method. In summary, we introduced for the first time, a variable distance decay function within an integrated FCA method. This function accounts for individual travel behaviors determined by the distribution of providers. Additionally, the function inherits effective variable catchment sizes and therefore obviates the need for determining variable catchment sizes separately.
authors.affiliation: Institute of Occupational, Social and Environmental Medicine, Goethe University, Frankfurt/Main, Hessen, Germany.
authors.forename: Jan
authors.identifier: http://orcid.org/0000-0001-6267-9731
authors.initials: J
authors.lastname: Bauer
authors.affiliation: Institute of Occupational, Social and Environmental Medicine, Goethe University, Frankfurt/Main, Hessen, Germany.
authors.forename: David A
authors.initials: DA
authors.lastname: Groneberg
mesh_terms: D005858:Germany; D006282:Health Personnel / Q000706:statistics & numerical data*; D006280:Health Workforce / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008962:Models, Theoretical; D016011:Normal Distribution; D011320:Primary Health Care