Evolving Location Analytics for Service Coverage Modeling

Abstract

Among the wide range of geographic analysis methods are service coverage models. These location analytic approaches have been invaluable for better understanding existing (and past) conditions, deriving creative plans, and developing policy for addressing associated societal problems. Increasingly sophisticated spatial information and better knowledge about interrelated mechanisms of process and behavior have made it possible to enhance coverage models, enabling more nuanced formalizations to be devised. This has proven both important and essential in many ways. Mathematical details associated with service coverage models are derived to highlight evolving capabilities. Empirical results are presented in order to illustrate the significance and substantive importance of advanced location analytics capabilities.