Coverage optimization in continuous space facility siting |
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Authors: | Alan T Murray Daoqin Tong |
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Institution: | 1. Center for Urban and Regional Analysis , and Department of Geography , The Ohio State University , 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210, USA murray.308@osu.edu;3. Center for Urban and Regional Analysis , and Department of Geography , The Ohio State University , 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210, USA |
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Abstract: | Facility placement and associated service coverage are major concerns in urban and regional planning. In this paper an approach is detailed for the problem of covering spatial demand for service, where potential facilities are located in the continuous plane. It is shown that weighted demand, represented as points, lines or polygons, can be optimally served by a finite number of potential facility locations, called the polygon intersection point set (PIPS). The developed approach is an extension of a point‐based abstraction of demand to more general representations (e.g. points, lines or polygons). An empirical analysis of warning siren siting in Ohio is carried out, highlighting the applicability of this approach. |
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Keywords: | Location modeling Spatial representation Geometry |
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