Coverage optimization in continuous space facility siting

被引:104
作者
Murray, Alan T.
Tong, Daoqin
机构
[1] Ohio State Univ, Ctr Urban & Reg Anal, Columbus, OH 43210 USA
[2] Ohio State Univ, Dept Geog, Columbus, OH 43210 USA
基金
美国国家科学基金会;
关键词
location modeling; spatial representation; geometry; COVERING LOCATION PROBLEM; GIS;
D O I
10.1080/13658810601169857
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:757 / 776
页数:20
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