A Geocomputational Heuristic for Coverage Maximization in Service Facility Siting |
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| Authors: | Alan T Murray Timothy C Matisziw Hu Wei Daoqin Tong |
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| Institution: | 1. School of Geographical Sciences Arizona State University;2. Departments of Geography and Civil and Environmental Engineering University of Missouri‐Columbia;3. General Motors Research and Development Center;4. Department of Geography and Regional Development University of Arizona |
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| Abstract: | Siting service facilities in order to maximize regional coverage is important when budget resources are limited. Various approaches exist for addressing this particular planning problem for discrete or continuous representations of potential facility sites and demand to be served. In cases where both candidate facility sites and service demand are continuous, approaches for maximizing regional coverage have only examined the siting of a single facility. In this article, a geocomputational approach is proposed for addressing multiple facility siting when demand is continuously distributed and facilities may be located anywhere in the region. Emergency warning siren location is used to highlight the developed approach. |
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| Keywords: | Spatial optimization GIS Computational geometry Medial axis Voronoi diagram Multi‐facility location Spatial representation |
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