Enhancing Classic Coverage Location Models

被引:49
作者
Murray, Alan T. [1 ]
Tong, Daoqin [2 ]
Kim, Kamyoung [3 ]
机构
[1] Arizona State Univ, Sch Geog Sci, Tempe, AZ 85287 USA
[2] Univ Arizona, Tucson, AZ USA
[3] Kyungpook Natl Univ, Taegu, South Korea
关键词
spatial optimization; GIS; location theory; SERVICE; REPRESENTATION; BACKUP;
D O I
10.1177/0160017609340149
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An important area of regional science has long been location analysis and modeling. Its significance continues, now more formally known as location science, and has evolved because of the need to address complex facility siting problems and issues. This article focuses on classic coverage location problems, and how advances along theoretical and methodological fronts have enabled such problems to be viewed in new ways. Specifically, notions of implicit and explicit coverage, along with geographic information systems (GIS), provide the capacity to reconceptualize as well as better model intended planning goals and objectives. This article reviews covering problems and presents a comparative framework for both linkage and assessment. This research is significant because evolving models enable issues of frame independence, and the modifiable area unit problem, to be addressed, making planning and analysis more reliable and valuable.
引用
收藏
页码:115 / 133
页数:19
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